--- _id: '16724' author: - first_name: Arnab full_name: Sharma, Arnab id: '67200' last_name: Sharma - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: 'Sharma A, Wehrheim H. Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models. In: Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). ACM.' apa: Sharma, A., & Wehrheim, H. (n.d.). Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models. In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). ACM. bibtex: '@inproceedings{Sharma_Wehrheim, title={Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models}, booktitle={Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA).}, publisher={ACM}, author={Sharma, Arnab and Wehrheim, Heike} }' chicago: Sharma, Arnab, and Heike Wehrheim. “Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models.” In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). ACM, n.d. ieee: A. Sharma and H. Wehrheim, “Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models,” in Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). mla: Sharma, Arnab, and Heike Wehrheim. “Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models.” Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)., ACM. short: 'A. Sharma, H. Wehrheim, in: Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)., ACM, n.d.' date_created: 2020-04-19T14:01:53Z date_updated: 2022-01-06T06:52:55Z department: - _id: '7' - _id: '77' language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '11' name: SFB 901 - Subproject B3 publication: Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). publication_status: accepted publisher: ACM status: public title: Higher Income, Larger Loan? Monotonicity Testing of Machine Learning Models type: conference user_id: '477' year: '2020' ... --- _id: '16725' author: - first_name: Cedric full_name: Richter, Cedric id: '50003' last_name: Richter - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier - first_name: Marie-Christine full_name: Jakobs, Marie-Christine last_name: Jakobs - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: Richter C, Hüllermeier E, Jakobs M-C, Wehrheim H. Algorithm Selection for Software Validation Based on Graph Kernels. Journal of Automated Software Engineering. apa: Richter, C., Hüllermeier, E., Jakobs, M.-C., & Wehrheim, H. (n.d.). Algorithm Selection for Software Validation Based on Graph Kernels. Journal of Automated Software Engineering. bibtex: '@article{Richter_Hüllermeier_Jakobs_Wehrheim, title={Algorithm Selection for Software Validation Based on Graph Kernels}, journal={Journal of Automated Software Engineering}, publisher={Springer}, author={Richter, Cedric and Hüllermeier, Eyke and Jakobs, Marie-Christine and Wehrheim, Heike} }' chicago: Richter, Cedric, Eyke Hüllermeier, Marie-Christine Jakobs, and Heike Wehrheim. “Algorithm Selection for Software Validation Based on Graph Kernels.” Journal of Automated Software Engineering, n.d. ieee: C. Richter, E. Hüllermeier, M.-C. Jakobs, and H. Wehrheim, “Algorithm Selection for Software Validation Based on Graph Kernels,” Journal of Automated Software Engineering. mla: Richter, Cedric, et al. “Algorithm Selection for Software Validation Based on Graph Kernels.” Journal of Automated Software Engineering, Springer. short: C. Richter, E. Hüllermeier, M.-C. Jakobs, H. Wehrheim, Journal of Automated Software Engineering (n.d.). date_created: 2020-04-19T14:08:06Z date_updated: 2022-01-06T06:52:55Z department: - _id: '7' - _id: '77' - _id: '355' language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '11' name: SFB 901 - Subproject B3 - _id: '12' name: SFB 901 - Subproject B4 publication: Journal of Automated Software Engineering publication_status: accepted publisher: Springer status: public title: Algorithm Selection for Software Validation Based on Graph Kernels type: journal_article user_id: '477' year: '2020' ... --- _id: '15580' abstract: - lang: eng text: This paper deals with aspect phrase extraction and classification in sentiment analysis. We summarize current approaches and datasets from the domain of aspect-based sentiment analysis. This domain detects sentiments expressed for individual aspects in unstructured text data. So far, mainly commercial user reviews for products or services such as restaurants were investigated. We here present our dataset consisting of German physician reviews, a sensitive and linguistically complex field. Furthermore, we describe the annotation process of a dataset for supervised learning with neural networks. Moreover, we introduce our model for extracting and classifying aspect phrases in one step, which obtains an F1-score of 80%. By applying it to a more complex domain, our approach and results outperform previous approaches. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS; 2020:391--400.' apa: 'Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={391--400} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400. mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, 2020, pp. 391--400. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.' conference: location: Valetta, Malta name: International Conference on Agents and Artificial Intelligence (ICAART) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI) date_created: 2020-01-15T08:35:07Z date_updated: 2022-01-06T06:52:29Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:27:00Z date_updated: 2020-09-18T09:27:00Z file_id: '19576' file_name: Kersting & Geierhos (2020), Kersting2020.pdf file_size: 421780 relation: main_file success: 1 file_date_updated: 2020-09-18T09:27:00Z has_accepted_license: '1' keyword: - Deep Learning - Natural Language Processing - Aspect-based Sentiment Analysis language: - iso: eng page: 391--400 place: Setúbal, Portugal project: - _id: '3' name: SFB 901 - Project Area B - _id: '1' name: SFB 901 - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) publisher: SCITEPRESS status: public title: Aspect Phrase Extraction in Sentiment Analysis with Deep Learning type: conference user_id: '58701' year: '2020' ... --- _id: '15582' abstract: - lang: eng text: When it comes to increased digitization in the health care domain, privacy is a relevant topic nowadays. This relates to patient data, electronic health records or physician reviews published online, for instance. There exist different approaches to the protection of individuals’ privacy, which focus on the anonymization and masking of personal information subsequent to their mining. In the medical domain in particular, measures to protect the privacy of patients are of high importance due to the amount of sensitive data that is involved (e.g. age, gender, illnesses, medication). While privacy breaches in structured data can be detected more easily, disclosure in written texts is more difficult to find automatically due to the unstructured nature of natural language. Therefore, we take a detailed look at existing research on areas related to privacy protection. Likewise, we review approaches to the automatic detection of privacy disclosure in different types of medical data. We provide a survey of several studies concerned with privacy breaches in the medical domain with a focus on Physician Review Websites (PRWs). Finally, we briefly develop implications and directions for further research. author: - first_name: Bianca full_name: Buff, Bianca last_name: Buff - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Buff B, Kersting J, Geierhos M. Detection of Privacy Disclosure in the Medical Domain: A Survey. In: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020). Setúbal, Portugal: SCITEPRESS; 2020:630--637.' apa: 'Buff, B., Kersting, J., & Geierhos, M. (2020). Detection of Privacy Disclosure in the Medical Domain: A Survey. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020) (pp. 630--637). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Buff_Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Detection of Privacy Disclosure in the Medical Domain: A Survey}, booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020)}, publisher={SCITEPRESS}, author={Buff, Bianca and Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={630--637} }' chicago: 'Buff, Bianca, Joschka Kersting, and Michaela Geierhos. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), 630--637. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: 'B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in the Medical Domain: A Survey,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), Valetta, Malta, 2020, pp. 630--637.' mla: 'Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain: A Survey.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, 2020, pp. 630--637.' short: 'B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 630--637.' conference: location: Valetta, Malta name: International Conference on Pattern Recognition Applications and Methods (ICPRAM) date_created: 2020-01-15T08:49:25Z date_updated: 2022-01-06T06:52:30Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:25:30Z date_updated: 2020-09-18T09:25:30Z file_id: '19574' file_name: Buff et al. (2020), Buff2020.pdf file_size: 287956 relation: main_file success: 1 file_date_updated: 2020-09-18T09:25:30Z has_accepted_license: '1' keyword: - Identity Disclosure - Privacy Protection - Physician Review Website - De-Anonymization - Medical Domain language: - iso: eng page: 630--637 place: Setúbal, Portugal project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020) publisher: SCITEPRESS status: public title: 'Detection of Privacy Disclosure in the Medical Domain: A Survey' type: conference user_id: '58701' year: '2020' ... --- _id: '15629' abstract: - lang: eng text: In multi-label classification (MLC), each instance is associated with a set of class labels, in contrast to standard classification where an instance is assigned a single label. Binary relevance (BR) learning, which reduces a multi-label to a set of binary classification problems, one per label, is arguably the most straight-forward approach to MLC. In spite of its simplicity, BR proved to be competitive to more sophisticated MLC methods, and still achieves state-of-the-art performance for many loss functions. Somewhat surprisingly, the optimal choice of the base learner for tackling the binary classification problems has received very little attention so far. Taking advantage of the label independence assumption inherent to BR, we propose a label-wise base learner selection method optimizing label-wise macro averaged performance measures. In an extensive experimental evaluation, we find that or approach, called LiBRe, can significantly improve generalization performance. author: - first_name: Marcel Dominik full_name: Wever, Marcel Dominik id: '33176' last_name: Wever orcid: ' https://orcid.org/0000-0001-9782-6818' - first_name: Alexander full_name: Tornede, Alexander id: '38209' last_name: Tornede - first_name: Felix full_name: Mohr, Felix last_name: Mohr - first_name: Eyke full_name: Hüllermeier, Eyke id: '48129' last_name: Hüllermeier citation: ama: 'Wever MD, Tornede A, Mohr F, Hüllermeier E. LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification. In: Springer.' apa: 'Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (n.d.). LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification. Symposium on Intelligent Data Analysis, Konstanz, Germany.' bibtex: '@inproceedings{Wever_Tornede_Mohr_Hüllermeier, title={LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification}, publisher={Springer}, author={Wever, Marcel Dominik and Tornede, Alexander and Mohr, Felix and Hüllermeier, Eyke} }' chicago: 'Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification.” Springer, n.d.' ieee: 'M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification,” presented at the Symposium on Intelligent Data Analysis, Konstanz, Germany.' mla: 'Wever, Marcel Dominik, et al. LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification. Springer.' short: 'M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, in: Springer, n.d.' conference: end_date: 2020-04-27 location: Konstanz, Germany name: Symposium on Intelligent Data Analysis start_date: 2020-04-24 date_created: 2020-01-23T08:44:08Z date_updated: 2022-01-06T06:52:30Z department: - _id: '34' - _id: '355' - _id: '26' language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '10' name: SFB 901 - Subproject B2 - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication_status: accepted publisher: Springer status: public title: 'LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification' type: conference user_id: '5786' year: '2020' ... --- _id: '15635' author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference. North Miami Beach, FL, USA: AAAI; 2020:282--285.' apa: 'Kersting, J., & Geierhos, M. (2020). Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference (pp. 282--285). North Miami Beach, FL, USA: AAAI.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={North Miami Beach, FL, USA}, title={Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis}, booktitle={Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference}, publisher={AAAI}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={282--285} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, 282--285. North Miami Beach, FL, USA: AAAI, 2020.' ieee: J. Kersting and M. Geierhos, “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis,” in Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, North Miami Beach, FL, USA, 2020, pp. 282--285. mla: Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis.” Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, 2020, pp. 282--285. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami Beach, FL, USA, 2020, pp. 282--285.' conference: end_date: 2020-05-20 location: North Miami Beach, FL, USA name: The 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference start_date: 2020-05-17 date_created: 2020-01-24T09:10:09Z date_updated: 2022-01-06T06:52:31Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:39:08Z date_updated: 2020-09-18T09:39:08Z file_id: '19582' file_name: Kersting & Geierhos (2020b), Kersting2020b.pdf file_size: 464976 relation: main_file success: 1 file_date_updated: 2020-09-18T09:39:08Z has_accepted_license: '1' language: - iso: eng page: 282--285 place: North Miami Beach, FL, USA project: - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 - _id: '1' name: SFB 901 publication: Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference publisher: AAAI status: public title: Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis type: conference user_id: '58701' year: '2020' ... --- _id: '15025' abstract: - lang: eng text: In software engineering, the imprecise requirements of a user are transformed to a formal requirements specification during the requirements elicitation process. This process is usually guided by requirements engineers interviewing the user. We want to partially automate this first step of the software engineering process in order to enable users to specify a desired software system on their own. With our approach, users are only asked to provide exemplary behavioral descriptions. The problem of synthesizing a requirements specification from examples can partially be reduced to the problem of grammatical inference, to which we apply an active coevolutionary learning approach. However, this approach would usually require many feedback queries to be sent to the user. In this work, we extend and generalize our active learning approach to receive knowledge from multiple oracles, also known as proactive learning. The ‘user oracle’ represents input received from the user and the ‘knowledge oracle’ represents available, formalized domain knowledge. We call our two-oracle approach the ‘first apply knowledge then query’ (FAKT/Q) algorithm. We compare FAKT/Q to the active learning approach and provide an extensive benchmark evaluation. As result we find that the number of required user queries is reduced and the inference process is sped up significantly. Finally, with so-called On-The-Fly Markets, we present a motivation and an application of our approach where such knowledge is available. author: - first_name: Marcel Dominik full_name: Wever, Marcel Dominik id: '33176' last_name: Wever orcid: ' https://orcid.org/0000-0001-9782-6818' - first_name: Lorijn full_name: van Rooijen, Lorijn id: '58843' last_name: van Rooijen - first_name: Heiko full_name: Hamann, Heiko last_name: Hamann citation: ama: Wever MD, van Rooijen L, Hamann H. Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation. 2020;28(2):165–193. doi:10.1162/evco_a_00266 apa: Wever, M. D., van Rooijen, L., & Hamann, H. (2020). Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation, 28(2), 165–193. https://doi.org/10.1162/evco_a_00266 bibtex: '@article{Wever_van Rooijen_Hamann_2020, title={Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets}, volume={28}, DOI={10.1162/evco_a_00266}, number={2}, journal={Evolutionary Computation}, publisher={MIT Press Journals}, author={Wever, Marcel Dominik and van Rooijen, Lorijn and Hamann, Heiko}, year={2020}, pages={165–193} }' chicago: 'Wever, Marcel Dominik, Lorijn van Rooijen, and Heiko Hamann. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.” Evolutionary Computation 28, no. 2 (2020): 165–193. https://doi.org/10.1162/evco_a_00266.' ieee: 'M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets,” Evolutionary Computation, vol. 28, no. 2, pp. 165–193, 2020, doi: 10.1162/evco_a_00266.' mla: Wever, Marcel Dominik, et al. “Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets.” Evolutionary Computation, vol. 28, no. 2, MIT Press Journals, 2020, pp. 165–193, doi:10.1162/evco_a_00266. short: M.D. Wever, L. van Rooijen, H. Hamann, Evolutionary Computation 28 (2020) 165–193. date_created: 2019-11-18T14:19:19Z date_updated: 2022-01-06T06:52:15Z department: - _id: '34' - _id: '355' - _id: '26' - _id: '63' - _id: '238' doi: 10.1162/evco_a_00266 intvolume: ' 28' issue: '2' language: - iso: eng page: 165–193 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 - _id: '10' name: SFB 901 - Subproject B2 - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Evolutionary Computation publication_status: published publisher: MIT Press Journals related_material: link: - relation: confirmation url: https://www.mitpressjournals.org/doi/pdf/10.1162/evco_a_00266 status: public title: Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets type: journal_article user_id: '15415' volume: 28 year: '2020' ... --- _id: '15256' abstract: - lang: eng text: This paper deals with online customer reviews of local multi-service providers. While many studies investigate product reviews and online labour markets with service providers delivering intangible products “over the wire”, we focus on websites where providers offer multiple distinct services that can be booked, paid and reviewed online but are performed locally offline. This type of service providers has so far been neglected in the literature. This paper analyses reviews and applies sentiment analysis. It aims to gain new insights into local multi-service providers’ performance. There is a broad literature range presented with regard to the topics addressed. The results show, among other things, that providers with good ratings continue to perform well over time. We find that many positive reviews seem to encourage sales. On average, quantitative star ratings and qualitative ratings in the form of review texts match. Further results are also achieved in this study. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods. Setúbal, Portugal: SCITEPRESS; 2020:263--272.' apa: 'Kersting, J., & Geierhos, M. (2020). What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (pp. 263--272). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers}, booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={263--272} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 263--272. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers,” in Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, Valetta, Malta, 2020, pp. 263--272. mla: Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers.” Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, 2020, pp. 263--272. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal, 2020, pp. 263--272.' conference: location: Valetta, Malta name: International Conference on Pattern Recognition Applications and Methods (ICPRAM) date_created: 2019-12-06T13:09:42Z date_updated: 2022-01-06T06:52:19Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:27:41Z date_updated: 2020-09-18T09:27:41Z file_id: '19577' file_name: Kersting & Geierhos (2020c), Kersting2020c.pdf file_size: 963370 relation: main_file success: 1 file_date_updated: 2020-09-18T09:27:41Z has_accepted_license: '1' keyword: - Customer Reviews - Sentiment Analysis - Online Labour Markets language: - iso: eng page: 263--272 place: Setúbal, Portugal project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods publisher: SCITEPRESS status: public title: What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers type: conference user_id: '58701' year: '2020' ... --- _id: '16935' author: - first_name: Diego Campos full_name: Moussalem, Diego Campos last_name: Moussalem citation: ama: Moussalem DC. Knowledge Graphs for Multilingual Language Translation and Generation.; 2020. doi:10.17619/UNIPB/1-980 apa: Moussalem, D. C. (2020). Knowledge Graphs for Multilingual Language Translation and Generation. https://doi.org/10.17619/UNIPB/1-980 bibtex: '@book{Moussalem_2020, title={Knowledge Graphs for Multilingual Language Translation and Generation}, DOI={10.17619/UNIPB/1-980}, author={Moussalem, Diego Campos}, year={2020} }' chicago: Moussalem, Diego Campos. Knowledge Graphs for Multilingual Language Translation and Generation, 2020. https://doi.org/10.17619/UNIPB/1-980. ieee: D. C. Moussalem, Knowledge Graphs for Multilingual Language Translation and Generation. 2020. mla: Moussalem, Diego Campos. Knowledge Graphs for Multilingual Language Translation and Generation. 2020, doi:10.17619/UNIPB/1-980. short: D.C. Moussalem, Knowledge Graphs for Multilingual Language Translation and Generation, 2020. date_created: 2020-05-05T06:16:29Z date_updated: 2022-11-30T13:43:53Z department: - _id: '574' doi: 10.17619/UNIPB/1-980 language: - iso: eng project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '10' name: SFB 901 - Subproject B2 status: public supervisor: - first_name: Axel-Cyrille full_name: Ngonga Ngomo, Axel-Cyrille id: '65716' last_name: Ngonga Ngomo title: Knowledge Graphs for Multilingual Language Translation and Generation type: dissertation user_id: '477' year: '2020' ... --- _id: '13770' author: - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Dennis full_name: Kundisch, Dennis id: '21117' last_name: Kundisch - first_name: Friedhelm full_name: Meyer auf der Heide, Friedhelm id: '15523' last_name: Meyer auf der Heide - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: 'Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H. A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering. 2020;62(6):467-481. doi:10.1007/s12599-019-00627-x' apa: 'Karl, H., Kundisch, D., Meyer auf der Heide, F., & Wehrheim, H. (2020). A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering, 62(6), 467–481. https://doi.org/10.1007/s12599-019-00627-x' bibtex: '@article{Karl_Kundisch_Meyer auf der Heide_Wehrheim_2020, title={A Case for a New IT Ecosystem: On-The-Fly Computing}, volume={62}, DOI={10.1007/s12599-019-00627-x}, number={6}, journal={Business & Information Systems Engineering}, publisher={Springer}, author={Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and Wehrheim, Heike}, year={2020}, pages={467–481} }' chicago: 'Karl, Holger, Dennis Kundisch, Friedhelm Meyer auf der Heide, and Heike Wehrheim. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business & Information Systems Engineering 62, no. 6 (2020): 467–81. https://doi.org/10.1007/s12599-019-00627-x.' ieee: 'H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for a New IT Ecosystem: On-The-Fly Computing,” Business & Information Systems Engineering, vol. 62, no. 6, pp. 467–481, 2020, doi: 10.1007/s12599-019-00627-x.' mla: 'Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business & Information Systems Engineering, vol. 62, no. 6, Springer, 2020, pp. 467–81, doi:10.1007/s12599-019-00627-x.' short: H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business & Information Systems Engineering 62 (2020) 467–481. date_created: 2019-10-10T13:41:06Z date_updated: 2022-12-02T09:27:17Z ddc: - '004' department: - _id: '276' - _id: '75' - _id: '63' - _id: '77' doi: 10.1007/s12599-019-00627-x file: - access_level: closed content_type: application/pdf creator: ups date_created: 2019-12-12T10:24:47Z date_updated: 2019-12-12T10:24:47Z file_id: '15311' file_name: Karl2019_Article_ACaseForANewITEcosystemOn-The-.pdf file_size: 454532 relation: main_file success: 1 file_date_updated: 2019-12-12T10:24:47Z has_accepted_license: '1' intvolume: ' 62' issue: '6' language: - iso: eng page: 467-481 project: - _id: '1' name: SFB 901 - _id: '2' name: SFB 901 - Project Area A - _id: '3' name: SFB 901 - Project Area B - _id: '4' name: SFB 901 - Project Area C - _id: '82' name: SFB 901 - Project Area T - _id: '5' name: SFB 901 - Subproject A1 - _id: '6' name: SFB 901 - Subproject A2 - _id: '7' name: SFB 901 - Subproject A3 - _id: '8' name: SFB 901 - Subproject A4 - _id: '9' name: SFB 901 - Subproject B1 - _id: '10' name: SFB 901 - Subproject B2 - _id: '11' name: SFB 901 - Subproject B3 - _id: '12' name: SFB 901 - Subproject B4 - _id: '13' name: SFB 901 - Subproject C1 - _id: '14' name: SFB 901 - Subproject C2 - _id: '15' name: SFB 901 - Subproject C3 - _id: '16' name: SFB 901 - Subproject C4 - _id: '17' name: SFB 901 - Subproject C5 - _id: '83' name: SFB 901 -Subproject T1 - _id: '84' name: SFB 901 -Subproject T2 - _id: '107' name: SFB 901 -Subproject T3 - _id: '158' name: 'SFB 901 - T4: SFB 901 -Subproject T4' publication: Business & Information Systems Engineering publication_status: published publisher: Springer status: public title: 'A Case for a New IT Ecosystem: On-The-Fly Computing' type: journal_article user_id: '477' volume: 62 year: '2020' ... --- _id: '3776' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Khalid full_name: Al-Khatib, Khalid last_name: Al-Khatib - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Benno full_name: Stein, Benno last_name: Stein citation: ama: 'Chen W-F, Al-Khatib K, Wachsmuth H, Stein B. Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. In: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science. ; 2020:149-154.' apa: Chen, W.-F., Al-Khatib, K., Wachsmuth, H., & Stein, B. (2020). Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity. Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–154. bibtex: '@inproceedings{Chen_Al-Khatib_Wachsmuth_Stein_2020, title={Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity}, booktitle={Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Wachsmuth, Henning and Stein, Benno}, year={2020}, pages={149–154} }' chicago: Chen, Wei-Fan, Khalid Al-Khatib, Henning Wachsmuth, and Benno Stein. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 149–54, 2020. ieee: W.-F. Chen, K. Al-Khatib, H. Wachsmuth, and B. Stein, “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity,” in Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–154. mla: Chen, Wei-Fan, et al. “Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity.” Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–54. short: 'W.-F. Chen, K. Al-Khatib, H. Wachsmuth, B. Stein, in: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, 2020, pp. 149–154.' date_created: 2018-08-02T11:40:56Z date_updated: 2022-05-09T15:03:31Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.nlpcss-1.16.pdf page: 149-154 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science status: public title: Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity type: conference user_id: '82920' year: '2020' ... --- _id: '20137' author: - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth - first_name: Martin full_name: Potthast, Martin last_name: Potthast citation: ama: 'Syed S, Chen W-F, Hagen M, Stein B, Wachsmuth H, Potthast M. Task Proposal: Abstractive Snippet Generation for Web Pages. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020). ; 2020:237-241.' apa: 'Syed, S., Chen, W.-F., Hagen, M., Stein, B., Wachsmuth, H., & Potthast, M. (2020). Task Proposal: Abstractive Snippet Generation for Web Pages. Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–241.' bibtex: '@inproceedings{Syed_Chen_Hagen_Stein_Wachsmuth_Potthast_2020, title={Task Proposal: Abstractive Snippet Generation for Web Pages}, booktitle={Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020)}, author={Syed, Shahbaz and Chen, Wei-Fan and Hagen, Matthias and Stein, Benno and Wachsmuth, Henning and Potthast, Martin}, year={2020}, pages={237–241} }' chicago: 'Syed, Shahbaz, Wei-Fan Chen, Matthias Hagen, Benno Stein, Henning Wachsmuth, and Martin Potthast. “Task Proposal: Abstractive Snippet Generation for Web Pages.” In Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 237–41, 2020.' ieee: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, and M. Potthast, “Task Proposal: Abstractive Snippet Generation for Web Pages,” in Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–241.' mla: 'Syed, Shahbaz, et al. “Task Proposal: Abstractive Snippet Generation for Web Pages.” Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–41.' short: 'S. Syed, W.-F. Chen, M. Hagen, B. Stein, H. Wachsmuth, M. Potthast, in: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), 2020, pp. 237–241.' date_created: 2020-10-20T13:00:06Z date_updated: 2022-05-09T15:03:11Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.inlg-1.30.pdf page: 237-241 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020) status: public title: 'Task Proposal: Abstractive Snippet Generation for Web Pages' type: conference user_id: '82920' year: '2020' ... --- _id: '3818' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Khalid full_name: Al-Khatib, Khalid last_name: Al-Khatib - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Chen W-F, Al-Khatib K, Stein B, Wachsmuth H. Detecting Media Bias in News Articles using Gaussian Bias Distributions. In: Findings of the Association for Computational Linguistics: EMNLP 2020. ; 2020:4290-4300.' apa: 'Chen, W.-F., Al-Khatib, K., Stein, B., & Wachsmuth, H. (2020). Detecting Media Bias in News Articles using Gaussian Bias Distributions. Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300.' bibtex: '@inproceedings{Chen_Al-Khatib_Stein_Wachsmuth_2020, title={Detecting Media Bias in News Articles using Gaussian Bias Distributions}, booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020}, author={Chen, Wei-Fan and Al-Khatib, Khalid and Stein, Benno and Wachsmuth, Henning}, year={2020}, pages={4290–4300} }' chicago: 'Chen, Wei-Fan, Khalid Al-Khatib, Benno Stein, and Henning Wachsmuth. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” In Findings of the Association for Computational Linguistics: EMNLP 2020, 4290–4300, 2020.' ieee: 'W.-F. Chen, K. Al-Khatib, B. Stein, and H. Wachsmuth, “Detecting Media Bias in News Articles using Gaussian Bias Distributions,” in Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.' mla: 'Chen, Wei-Fan, et al. “Detecting Media Bias in News Articles Using Gaussian Bias Distributions.” Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–300.' short: 'W.-F. Chen, K. Al-Khatib, B. Stein, H. Wachsmuth, in: Findings of the Association for Computational Linguistics: EMNLP 2020, 2020, pp. 4290–4300.' date_created: 2018-08-02T13:38:46Z date_updated: 2022-05-09T15:00:46Z department: - _id: '600' language: - iso: eng main_file_link: - url: https://www.aclweb.org/anthology/2020.findings-emnlp.383.pdf page: 4290-4300 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: 'Findings of the Association for Computational Linguistics: EMNLP 2020' status: public title: Detecting Media Bias in News Articles using Gaussian Bias Distributions type: conference user_id: '82920' year: '2020' ... --- _id: '15826' author: - first_name: Wei-Fan full_name: Chen, Wei-Fan id: '82920' last_name: Chen - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Benno full_name: Stein, Benno last_name: Stein - first_name: Matthias full_name: Hagen, Matthias last_name: Hagen - first_name: Martin full_name: Potthast, Martin last_name: Potthast citation: ama: 'Chen W-F, Syed S, Stein B, Hagen M, Potthast M. Abstractive Snippet Generation. In: Proceedings of the Web Conference 2020. ; 2020:1309-1319.' apa: Chen, W.-F., Syed, S., Stein, B., Hagen, M., & Potthast, M. (2020). Abstractive Snippet Generation. Proceedings of the Web Conference 2020, 1309–1319. bibtex: '@inproceedings{Chen_Syed_Stein_Hagen_Potthast_2020, title={Abstractive Snippet Generation}, booktitle={Proceedings of the Web Conference 2020}, author={Chen, Wei-Fan and Syed, Shahbaz and Stein, Benno and Hagen, Matthias and Potthast, Martin}, year={2020}, pages={1309–1319} }' chicago: Chen, Wei-Fan, Shahbaz Syed, Benno Stein, Matthias Hagen, and Martin Potthast. “Abstractive Snippet Generation.” In Proceedings of the Web Conference 2020, 1309–19, 2020. ieee: W.-F. Chen, S. Syed, B. Stein, M. Hagen, and M. Potthast, “Abstractive Snippet Generation,” in Proceedings of the Web Conference 2020, 2020, pp. 1309–1319. mla: Chen, Wei-Fan, et al. “Abstractive Snippet Generation.” Proceedings of the Web Conference 2020, 2020, pp. 1309–19. short: 'W.-F. Chen, S. Syed, B. Stein, M. Hagen, M. Potthast, in: Proceedings of the Web Conference 2020, 2020, pp. 1309–1319.' date_created: 2020-02-06T10:51:33Z date_updated: 2022-05-09T15:03:53Z department: - _id: '600' - _id: '568' language: - iso: eng main_file_link: - url: https://dl.acm.org/doi/pdf/10.1145/3366423.3380206 page: 1309-1319 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of the Web Conference 2020 status: public title: Abstractive Snippet Generation type: conference user_id: '82920' year: '2020' ... --- _id: '16868' author: - first_name: Milad full_name: Alshomary, Milad id: '73059' last_name: Alshomary - first_name: Shahbaz full_name: Syed, Shahbaz last_name: Syed - first_name: Martin full_name: Potthast, Martin last_name: Potthast - first_name: Henning full_name: Wachsmuth, Henning id: '3900' last_name: Wachsmuth citation: ama: 'Alshomary M, Syed S, Potthast M, Wachsmuth H. Target Inference in Argument Conclusion Generation. In: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics; 2020:4334-4345.' apa: Alshomary, M., Syed, S., Potthast, M., & Wachsmuth, H. (2020). Target Inference in Argument Conclusion Generation. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–4345. bibtex: '@inproceedings{Alshomary_Syed_Potthast_Wachsmuth_2020, series={Proceedings of 58th Annual Meeting of the Association for Computational Linguistics}, title={Target Inference in Argument Conclusion Generation}, booktitle={Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020)}, publisher={Association for Computational Linguistics}, author={Alshomary, Milad and Syed, Shahbaz and Potthast, Martin and Wachsmuth, Henning}, year={2020}, pages={4334–4345}, collection={Proceedings of 58th Annual Meeting of the Association for Computational Linguistics} }' chicago: Alshomary, Milad, Shahbaz Syed, Martin Potthast, and Henning Wachsmuth. “Target Inference in Argument Conclusion Generation.” In Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 4334–45. Proceedings of 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 2020. ieee: M. Alshomary, S. Syed, M. Potthast, and H. Wachsmuth, “Target Inference in Argument Conclusion Generation,” in Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA, 2020, pp. 4334–4345. mla: Alshomary, Milad, et al. “Target Inference in Argument Conclusion Generation.” Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–45. short: 'M. Alshomary, S. Syed, M. Potthast, H. Wachsmuth, in: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Association for Computational Linguistics, 2020, pp. 4334–4345.' conference: end_date: 2020.07.10 location: Seattle, USA name: 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) start_date: 2020.07.05 date_created: 2020-04-27T10:11:00Z date_updated: 2022-05-09T15:06:52Z ddc: - '000' department: - _id: '600' - _id: '568' file: - access_level: closed content_type: application/pdf creator: sile2804 date_created: 2020-05-22T06:41:25Z date_updated: 2020-05-22T06:41:25Z file_id: '17054' file_name: acl20-conclusion-generation-frame.pdf file_size: 1572275 relation: main_file success: 1 file_date_updated: 2020-05-22T06:41:25Z has_accepted_license: '1' language: - iso: eng page: 4334-4345 project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '3' name: 'SFB 901 - B: SFB 901 - Project Area B' - _id: '9' name: 'SFB 901 - B1: SFB 901 - Subproject B1' publication: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) publisher: Association for Computational Linguistics series_title: Proceedings of 58th Annual Meeting of the Association for Computational Linguistics status: public title: Target Inference in Argument Conclusion Generation type: conference user_id: '82920' year: '2020' ... --- _id: '3287' abstract: - lang: eng text: "For optimal placement and orchestration of network services, it is crucial\r\nthat their structure and semantics are specified clearly and comprehensively\r\nand are available to an orchestrator. Existing specification approaches are\r\neither ambiguous or miss important aspects regarding the behavior of virtual\r\nnetwork functions (VNFs) forming a service. We propose to formally and\r\nunambiguously specify the behavior of these functions and services using\r\nQueuing Petri Nets (QPNs). QPNs are an established method that allows to\r\nexpress queuing, synchronization, stochastically distributed processing delays,\r\nand changing traffic volume and characteristics at each VNF. With QPNs,\r\nmultiple VNFs can be connected to complete network services in any structure,\r\neven specifying bidirectional network services containing loops.\r\n We discuss how management and orchestration systems can benefit from our\r\nclear and comprehensive specification approach, leading to better placement of\r\nVNFs and improved Quality of Service. Another benefit of formally specifying\r\nnetwork services with QPNs are diverse analysis options, which allow valuable\r\ninsights such as the distribution of end-to-end delay. We propose a tool-based\r\nworkflow that supports the specification of network services and the automatic\r\ngeneration of corresponding simulation code to enable an in-depth analysis of\r\ntheir behavior and performance." author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Arnab full_name: Sharma, Arnab id: '67200' last_name: Sharma - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: 'Schneider SB, Sharma A, Karl H, Wehrheim H. Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM). Washington, DC, USA: IFIP; 2019:116--124.' apa: 'Schneider, S. B., Sharma, A., Karl, H., & Wehrheim, H. (2019). Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 116--124). Washington, DC, USA: IFIP.' bibtex: '@inproceedings{Schneider_Sharma_Karl_Wehrheim_2019, place={Washington, DC, USA}, title={Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets}, booktitle={2019 IFIP/IEEE International Symposium on Integrated Network Management (IM)}, publisher={IFIP}, author={Schneider, Stefan Balthasar and Sharma, Arnab and Karl, Holger and Wehrheim, Heike}, year={2019}, pages={116--124} }' chicago: 'Schneider, Stefan Balthasar, Arnab Sharma, Holger Karl, and Heike Wehrheim. “Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.” In 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), 116--124. Washington, DC, USA: IFIP, 2019.' ieee: S. B. Schneider, A. Sharma, H. Karl, and H. Wehrheim, “Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets,” in 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), Washington, DC, USA, 2019, pp. 116--124. mla: Schneider, Stefan Balthasar, et al. “Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.” 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP, 2019, pp. 116--124. short: 'S.B. Schneider, A. Sharma, H. Karl, H. Wehrheim, in: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP, Washington, DC, USA, 2019, pp. 116--124.' conference: end_date: 2019-04-12 location: Washington, DC, USA name: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM) start_date: 2019-04-08 date_created: 2018-06-18T15:23:18Z date_updated: 2022-01-06T06:59:09Z ddc: - '040' department: - _id: '77' - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2019-01-07T12:38:35Z date_updated: 2019-01-07T12:38:35Z file_id: '6504' file_name: ris_preprint.pdf file_size: 497528 relation: main_file file_date_updated: 2019-01-07T12:38:35Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: http://dl.ifip.org/db/conf/im/im2019/188490.pdf oa: '1' page: 116--124 place: Washington, DC, USA project: - _id: '3' name: SFB 901 - Project Area B - _id: '11' name: SFB 901 - Subproject B3 - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '16' name: SFB 901 - Subproject C4 - _id: '28' grant_number: '761493' name: 5G Development and validation platform for global industry-specific network services and Apps - _id: '25' call_identifier: 5G PPP Phase 1 grant_number: '671517' name: 'SONATA NFV: Agile Service Development and Orchestration in 5G Virtualized Networks' publication: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM) publisher: IFIP status: public title: Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets type: conference user_id: '35343' year: '2019' ... --- _id: '3585' abstract: - lang: eng text: Existing approaches and tools for the generation of approximate circuits often lack generality and are restricted to certain circuit types, approximation techniques, and quality assurance methods. Moreover, only few tools are publicly available. This hinders the development and evaluation of new techniques for approximating circuits and their comparison to previous approaches. In this paper, we first analyze and classify related approaches and then present CIRCA, our flexible framework for search-based approximate circuit generation. CIRCA is developed with a focus on modularity and extensibility. We present the architecture of CIRCA with its clear separation into stages and functional blocks, report on the current prototype, and show initial experiments. author: - first_name: Linus Matthias full_name: Witschen, Linus Matthias id: '49051' last_name: Witschen - first_name: Tobias full_name: Wiersema, Tobias id: '3118' last_name: Wiersema - first_name: Hassan full_name: Ghasemzadeh Mohammadi, Hassan id: '61186' last_name: Ghasemzadeh Mohammadi - first_name: Muhammad full_name: Awais, Muhammad id: '64665' last_name: Awais orcid: https://orcid.org/0000-0003-4148-2969 - first_name: Marco full_name: Platzner, Marco id: '398' last_name: Platzner citation: ama: 'Witschen LM, Wiersema T, Ghasemzadeh Mohammadi H, Awais M, Platzner M. CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Microelectronics Reliability. 2019;99:277-290. doi:10.1016/j.microrel.2019.04.003' apa: 'Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., & Platzner, M. (2019). CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Microelectronics Reliability, 99, 277–290. https://doi.org/10.1016/j.microrel.2019.04.003' bibtex: '@article{Witschen_Wiersema_Ghasemzadeh Mohammadi_Awais_Platzner_2019, title={CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation}, volume={99}, DOI={10.1016/j.microrel.2019.04.003}, journal={Microelectronics Reliability}, publisher={Elsevier}, author={Witschen, Linus Matthias and Wiersema, Tobias and Ghasemzadeh Mohammadi, Hassan and Awais, Muhammad and Platzner, Marco}, year={2019}, pages={277–290} }' chicago: 'Witschen, Linus Matthias, Tobias Wiersema, Hassan Ghasemzadeh Mohammadi, Muhammad Awais, and Marco Platzner. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Microelectronics Reliability 99 (2019): 277–90. https://doi.org/10.1016/j.microrel.2019.04.003.' ieee: 'L. M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, and M. Platzner, “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation,” Microelectronics Reliability, vol. 99, pp. 277–290, 2019.' mla: 'Witschen, Linus Matthias, et al. “CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation.” Microelectronics Reliability, vol. 99, Elsevier, 2019, pp. 277–90, doi:10.1016/j.microrel.2019.04.003.' short: L.M. Witschen, T. Wiersema, H. Ghasemzadeh Mohammadi, M. Awais, M. Platzner, Microelectronics Reliability 99 (2019) 277–290. date_created: 2018-07-20T14:08:49Z date_updated: 2022-01-06T06:59:25Z department: - _id: '78' doi: 10.1016/j.microrel.2019.04.003 intvolume: ' 99' keyword: - Approximate Computing - Framework - Pareto Front - Accuracy language: - iso: eng page: 277-290 project: - _id: '12' name: SFB 901 - Subproject B4 - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Microelectronics Reliability publication_identifier: issn: - 0026-2714 publication_status: published publisher: Elsevier status: public title: 'CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation' type: journal_article user_id: '49051' volume: 99 year: '2019' ... --- _id: '7752' author: - first_name: Arnab full_name: Sharma, Arnab id: '67200' last_name: Sharma - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim citation: ama: 'Sharma A, Wehrheim H. Testing Balancedness of ML Algorithms. In: Proceedings of the Software Engineering Conference (SE). Vol P-292. Lecture Notes in Informatics (LNI). Stuttgart: Gesellschaft für Informatik e.V. (GI); 2019:157-158.' apa: 'Sharma, A., & Wehrheim, H. (2019). Testing Balancedness of ML Algorithms. In Proceedings of the Software Engineering Conference (SE) (Vol. P-292, pp. 157–158). Stuttgart: Gesellschaft für Informatik e.V. (GI).' bibtex: '@inproceedings{Sharma_Wehrheim_2019, place={Stuttgart}, series={Lecture Notes in Informatics (LNI)}, title={Testing Balancedness of ML Algorithms}, volume={P-292}, booktitle={Proceedings of the Software Engineering Conference (SE)}, publisher={Gesellschaft für Informatik e.V. (GI)}, author={Sharma, Arnab and Wehrheim, Heike}, year={2019}, pages={157–158}, collection={Lecture Notes in Informatics (LNI)} }' chicago: 'Sharma, Arnab, and Heike Wehrheim. “Testing Balancedness of ML Algorithms.” In Proceedings of the Software Engineering Conference (SE), P-292:157–58. Lecture Notes in Informatics (LNI). Stuttgart: Gesellschaft für Informatik e.V. (GI), 2019.' ieee: A. Sharma and H. Wehrheim, “Testing Balancedness of ML Algorithms,” in Proceedings of the Software Engineering Conference (SE), Stuttgart, 2019, vol. P-292, pp. 157–158. mla: Sharma, Arnab, and Heike Wehrheim. “Testing Balancedness of ML Algorithms.” Proceedings of the Software Engineering Conference (SE), vol. P-292, Gesellschaft für Informatik e.V. (GI), 2019, pp. 157–58. short: 'A. Sharma, H. Wehrheim, in: Proceedings of the Software Engineering Conference (SE), Gesellschaft für Informatik e.V. (GI), Stuttgart, 2019, pp. 157–158.' conference: end_date: 2019-02-22 location: Stuttgart name: Software Engineering(SE) start_date: 2019-02-18 date_created: 2019-02-19T08:28:23Z date_updated: 2022-01-06T07:03:45Z department: - _id: '34' - _id: '77' language: - iso: eng page: 157 - 158 place: Stuttgart project: - _id: '3' name: SFB 901 - Project Area B - _id: '11' name: SFB 901 - Subproject B3 - _id: '1' name: SFB 901 publication: Proceedings of the Software Engineering Conference (SE) publication_identifier: isbn: - 978-3-88579-686-2 publication_status: published publisher: Gesellschaft für Informatik e.V. (GI) series_title: Lecture Notes in Informatics (LNI) status: public title: Testing Balancedness of ML Algorithms type: conference_abstract user_id: '477' volume: P-292 year: '2019' ... --- _id: '8312' author: - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Bäumer FS, Geierhos M. Requirements Engineering in OTF-Computing. In: Encyclopedia.Pub. Basel, Switzerland: MDPI; 2019.' apa: 'Bäumer, F. S., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In encyclopedia.pub. Basel, Switzerland: MDPI.' bibtex: '@inbook{Bäumer_Geierhos_2019, place={Basel, Switzerland}, title={Requirements Engineering in OTF-Computing}, booktitle={encyclopedia.pub}, publisher={MDPI}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2019} }' chicago: 'Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” In Encyclopedia.Pub. Basel, Switzerland: MDPI, 2019.' ieee: 'F. S. Bäumer and M. Geierhos, “Requirements Engineering in OTF-Computing,” in encyclopedia.pub, Basel, Switzerland: MDPI, 2019.' mla: Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” Encyclopedia.Pub, MDPI, 2019. short: 'F.S. Bäumer, M. Geierhos, in: Encyclopedia.Pub, MDPI, Basel, Switzerland, 2019.' date_created: 2019-03-05T08:54:37Z date_updated: 2022-01-06T07:03:53Z department: - _id: '36' - _id: '1' - _id: '579' keyword: - OTF Computing - Natural Language Processing - Requirements Engineering language: - iso: eng main_file_link: - open_access: '1' url: https://encyclopedia.pub/131 oa: '1' place: Basel, Switzerland project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: encyclopedia.pub publication_status: published publisher: MDPI quality_controlled: '1' status: public title: Requirements Engineering in OTF-Computing type: encyclopedia_article user_id: '42496' year: '2019' ... --- _id: '7623' author: - first_name: Shikun full_name: Zhang, Shikun last_name: Zhang citation: ama: Zhang S. Combining Android Apps for Analysis Purposes. Universität Paderborn; 2019. apa: Zhang, S. (2019). Combining Android Apps for Analysis Purposes. Universität Paderborn. bibtex: '@book{Zhang_2019, title={Combining Android Apps for Analysis Purposes}, publisher={Universität Paderborn}, author={Zhang, Shikun}, year={2019} }' chicago: Zhang, Shikun. Combining Android Apps for Analysis Purposes. Universität Paderborn, 2019. ieee: S. Zhang, Combining Android Apps for Analysis Purposes. Universität Paderborn, 2019. mla: Zhang, Shikun. Combining Android Apps for Analysis Purposes. Universität Paderborn, 2019. short: S. Zhang, Combining Android Apps for Analysis Purposes, Universität Paderborn, 2019. date_created: 2019-02-12T06:13:43Z date_updated: 2022-01-06T07:03:41Z department: - _id: '77' language: - iso: eng page: '64' project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '12' name: SFB 901 - Subproject B4 publisher: Universität Paderborn status: public supervisor: - first_name: Heike full_name: Wehrheim, Heike id: '573' last_name: Wehrheim title: Combining Android Apps for Analysis Purposes type: mastersthesis user_id: '477' year: '2019' ...