[{"abstract":[{"text":"Accurate real estate appraisal is essential in decision making processes of financial institutions, governments, and trending real estate platforms like Zillow. One of the most important factors of a property’s value is its location. However, creating accurate quantifications of location remains a challenge. While traditional approaches rely on Geographical Information Systems (GIS), recently unstructured data in form of images was incorporated in the appraisal process, but text data remains an untapped reservoir. Our study shows that using text data in form of geolocated Wikipedia articles can increase predictive performance over traditional GIS-based methods by 8.2% in spatial out-of-sample validation. A framework to automatically extract geographically weighted vector representations for text is established and used alongside traditional structural housing features to make predictions and to uncover local patterns on sale price for real estate transactions between 2015 and 2020 in Allegheny County, Pennsylvania.","lang":"eng"}],"status":"public","type":"conference","publication":"55th Annual Hawaii International Conference on System Sciences (HICSS-55)","keyword":["Real Estate Appraisal","Text Regression","Natural Language Processing (NLP)","Location Intelligence","Wikipedia"],"language":[{"iso":"eng"}],"_id":"27507","user_id":"77066","department":[{"_id":"195"}],"year":"2022","citation":{"ieee":"T. Heuwinkel, J.-P. Kucklick, and O. Müller, “Using Geolocated Text to Quantify Location in Real Estate Appraisal,” presented at the Hawaii International Conference on System Science (HICSS), Virtual, 2022.","chicago":"Heuwinkel, Tim, Jan-Peter Kucklick, and Oliver Müller. “Using Geolocated Text to Quantify Location in Real Estate Appraisal.” In <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>, 2022.","ama":"Heuwinkel T, Kucklick J-P, Müller O. Using Geolocated Text to Quantify Location in Real Estate Appraisal. In: <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>. ; 2022.","apa":"Heuwinkel, T., Kucklick, J.-P., &#38; Müller, O. (2022). Using Geolocated Text to Quantify Location in Real Estate Appraisal. <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>. Hawaii International Conference on System Science (HICSS), Virtual.","bibtex":"@inproceedings{Heuwinkel_Kucklick_Müller_2022, title={Using Geolocated Text to Quantify Location in Real Estate Appraisal}, booktitle={55th Annual Hawaii International Conference on System Sciences (HICSS-55)}, author={Heuwinkel, Tim and Kucklick, Jan-Peter and Müller, Oliver}, year={2022} }","mla":"Heuwinkel, Tim, et al. “Using Geolocated Text to Quantify Location in Real Estate Appraisal.” <i>55th Annual Hawaii International Conference on System Sciences (HICSS-55)</i>, 2022.","short":"T. Heuwinkel, J.-P. Kucklick, O. Müller, in: 55th Annual Hawaii International Conference on System Sciences (HICSS-55), 2022."},"title":"Using Geolocated Text to Quantify Location in Real Estate Appraisal","main_file_link":[{"open_access":"1","url":"https://scholarspace.manoa.hawaii.edu/bitstream/10125/80039/0561.pdf"}],"conference":{"location":"Virtual","end_date":"2022-01-07","start_date":"2022-01-03","name":"Hawaii International Conference on System Science (HICSS)"},"oa":"1","date_updated":"2022-01-06T06:57:40Z","date_created":"2021-11-17T07:12:03Z","author":[{"first_name":"Tim","full_name":"Heuwinkel, Tim","last_name":"Heuwinkel"},{"last_name":"Kucklick","full_name":"Kucklick, Jan-Peter","id":"77066","first_name":"Jan-Peter"},{"last_name":"Müller","id":"72849","full_name":"Müller, Oliver","first_name":"Oliver"}]},{"abstract":[{"text":"This paper aims at discussing past limitations set in sentiment analysis research regarding explicit and implicit mentions of opinions. Previous studies have regularly neglected this question in favor of methodical research on standard-datasets. Furthermore, they were limited to linguistically less-diverse domains, such as commercial product reviews. We face this issue by annotating a German-language physician review dataset that contains numerous implicit, long, and complex statements that indicate aspect ratings, such as the physician’s friendliness. We discuss the nature of implicit statements and present various samples to illustrate the challenge described.","lang":"eng"}],"file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":155548,"file_name":"Kersting & Bäumer (2022), Kersting2022.pdf","file_id":"34172","access_level":"closed","date_updated":"2022-12-01T13:39:48Z","creator":"jkers","date_created":"2022-12-01T13:39:48Z"}],"publication":"Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications","ddc":["006"],"keyword":["Sentiment analysis","Natural language processing","Aspect phrase extraction"],"language":[{"iso":"eng"}],"year":"2022","title":"Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis","publisher":"IARIA","date_created":"2022-05-04T08:12:09Z","editor":[{"last_name":"Kersting","full_name":"Kersting, Joschka","first_name":"Joschka"}],"status":"public","type":"conference","file_date_updated":"2022-12-01T13:39:48Z","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - B: SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - B1: SFB 901 - Subproject B1"}],"_id":"31054","user_id":"58701","place":"Barcelona, Spain","citation":{"short":"J. Kersting, F.S. Bäumer, in: J. Kersting (Ed.), Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications, IARIA, Barcelona, Spain, 2022, pp. 5–9.","bibtex":"@inproceedings{Kersting_Bäumer_2022, place={Barcelona, Spain}, title={Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis}, booktitle={Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications}, publisher={IARIA}, author={Kersting, Joschka and Bäumer, Frederik Simon}, editor={Kersting, Joschka}, year={2022}, pages={5–9} }","mla":"Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” <i>Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications</i>, edited by Joschka Kersting, IARIA, 2022, pp. 5–9.","apa":"Kersting, J., &#38; Bäumer, F. S. (2022). Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In J. Kersting (Ed.), <i>Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications</i> (pp. 5–9). IARIA.","ama":"Kersting J, Bäumer FS. Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis. In: Kersting J, ed. <i>Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications</i>. IARIA; 2022:5-9.","ieee":"J. Kersting and F. S. Bäumer, “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis,” in <i>Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications</i>, Barcelona, Spain, 2022, pp. 5–9.","chicago":"Kersting, Joschka, and Frederik Simon Bäumer. “Implicit Statements in Healthcare Reviews: A Challenge for Sentiment Analysis.” In <i>Proceedings of the Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022): Special Track AI-DRSWA: Maturing Artificial Intelligence - Data Science for Real-World Applications</i>, edited by Joschka Kersting, 5–9. Barcelona, Spain: IARIA, 2022."},"page":"5-9","publication_status":"published","has_accepted_license":"1","conference":{"name":"The Fourteenth International Conference on Pervasive Patterns and Applications (PATTERNS 2022)","start_date":"2022-03","location":"Barcelona, Spain"},"date_updated":"2022-12-01T13:40:11Z","author":[{"first_name":"Joschka","id":"58701","full_name":"Kersting, Joschka","last_name":"Kersting"},{"first_name":"Frederik Simon","last_name":"Bäumer","id":"38837","full_name":"Bäumer, Frederik Simon"}]},{"file_date_updated":"2021-10-15T15:54:41Z","language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Software Requirements","Natural Language Processing","Transfer Learning","On-The-Fly Computing"],"user_id":"58701","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"26049","file":[{"file_size":411667,"access_level":"closed","file_id":"26282","file_name":"Bäumer et al. (2021), Baeumer2021.pdf","date_updated":"2021-10-15T15:54:41Z","date_created":"2021-10-15T15:54:41Z","creator":"jkers","success":1,"relation":"main_file","content_type":"application/pdf"}],"status":"public","abstract":[{"text":"Content is the new oil. Users consume billions of terabytes a day while surfing on news sites or blogs, posting on social media sites, and sending chat messages around the globe. While content is heterogeneous, the dominant form of web content is text. There are situations where more diversity needs to be introduced into text content, for example, to reuse it on websites or to allow a chatbot to base its models on the information conveyed rather than of the language used. In order to achieve this, paraphrasing techniques have been developed: One example is Text spinning, a technique that automatically paraphrases text while leaving the intent intact. This makes it easier to reuse content, or to change the language generated by the bot more human. One method for modifying texts is a combination of translation and back-translation. This paper presents NATTS, a naive approach that uses transformer-based translation models to create diversified text, combining translation steps in one model. An advantage of this approach is that it can be fine-tuned and handle technical language.","lang":"eng"}],"type":"conference","publication":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021","conference":{"name":"18th International Conference on Applied Computing","start_date":"13.10.2021","end_date":"15.10.2021","location":"Lisbon, Portugal"},"title":"IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING","date_created":"2021-10-11T15:26:58Z","author":[{"last_name":"Bäumer","full_name":"Bäumer, Frederik Simon","first_name":"Frederik Simon"},{"first_name":"Joschka","full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting"},{"first_name":"Sergej","last_name":"Denisov","full_name":"Denisov, Sergej"},{"first_name":"Michaela","full_name":"Geierhos, Michaela","id":"42496","last_name":"Geierhos","orcid":"0000-0002-8180-5606"}],"date_updated":"2022-01-06T06:57:16Z","publisher":"IADIS","citation":{"chicago":"Bäumer, Frederik Simon, Joschka Kersting, Sergej Denisov, and Michaela Geierhos. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” In <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>, 221--225. IADIS, 2021.","ieee":"F. S. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING,” in <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>, Lisbon, Portugal, 2021, pp. 221--225.","ama":"Bäumer FS, Kersting J, Denisov S, Geierhos M. IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. In: <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>. IADIS; 2021:221--225.","bibtex":"@inproceedings{Bäumer_Kersting_Denisov_Geierhos_2021, title={IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING}, booktitle={PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021}, publisher={IADIS}, author={Bäumer, Frederik Simon and Kersting, Joschka and Denisov, Sergej and Geierhos, Michaela}, year={2021}, pages={221--225} }","short":"F.S. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225.","mla":"Bäumer, Frederik Simon, et al. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>, IADIS, 2021, pp. 221--225.","apa":"Bäumer, F. S., Kersting, J., Denisov, S., &#38; Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021</i>, 221--225."},"page":"221--225","year":"2021","has_accepted_license":"1"},{"date_updated":"2022-06-10T06:55:32Z","oa":"1","author":[{"full_name":"Prester, Julian","last_name":"Prester","first_name":"Julian"},{"first_name":"Gerit","full_name":"Wagner, Gerit","last_name":"Wagner"},{"first_name":"Guido","id":"72850","full_name":"Schryen, Guido","last_name":"Schryen"},{"first_name":"Nik Rushdi","last_name":"Hassan","full_name":"Hassan, Nik Rushdi"}],"volume":140,"has_accepted_license":"1","citation":{"bibtex":"@article{Prester_Wagner_Schryen_Hassan_2021, title={Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach}, volume={140}, number={January113432}, journal={Decision Support Systems}, author={Prester, Julian and Wagner, Gerit and Schryen, Guido and Hassan, Nik Rushdi}, year={2021} }","short":"J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems 140 (2021).","mla":"Prester, Julian, et al. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” <i>Decision Support Systems</i>, vol. 140, no. January, 113432, 2021.","apa":"Prester, J., Wagner, G., Schryen, G., &#38; Hassan, N. R. (2021). Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. <i>Decision Support Systems</i>, <i>140</i>(January), Article 113432.","chicago":"Prester, Julian, Gerit Wagner, Guido Schryen, and Nik Rushdi Hassan. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” <i>Decision Support Systems</i> 140, no. January (2021).","ieee":"J. Prester, G. Wagner, G. Schryen, and N. R. Hassan, “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach,” <i>Decision Support Systems</i>, vol. 140, no. January, Art. no. 113432, 2021.","ama":"Prester J, Wagner G, Schryen G, Hassan NR. Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. <i>Decision Support Systems</i>. 2021;140(January)."},"intvolume":"       140","_id":"20212","user_id":"72850","department":[{"_id":"277"}],"article_number":"113432","file_date_updated":"2020-10-27T13:31:01Z","type":"journal_article","status":"public","date_created":"2020-10-27T13:28:21Z","title":"Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach","issue":"January","year":"2021","ddc":["000"],"keyword":["Ideational impact","citation classification","academic recommender systems","natural language processing","deep learning","cumulative tradition"],"language":[{"iso":"eng"}],"publication":"Decision Support Systems","abstract":[{"lang":"eng","text":"Ideational impact refers to the uptake of a paper's ideas and concepts by subsequent research. It is defined in stark contrast to total citation impact, a measure predominantly used in research evaluation that assumes that all citations are equal. Understanding ideational impact is critical for evaluating research impact and understanding how scientific disciplines build a cumulative tradition. Research has only recently developed automated citation classification techniques to distinguish between different types of citations and generally does not emphasize the conceptual content of the citations and its ideational impact. To address this problem, we develop Deep Content-enriched Ideational Impact Classification (Deep-CENIC) as the first automated approach for ideational impact classification to support researchers' literature search practices. We evaluate Deep-CENIC on 1,256 papers citing 24 information systems review articles from the IT business value domain. We show that Deep-CENIC significantly outperforms state-of-the-art benchmark models. We contribute to information systems research by operationalizing the concept of ideational impact, designing a recommender system for academic papers based on deep learning techniques, and empirically exploring the ideational impact of the IT business value domain.\r\n"}],"file":[{"file_id":"20213","access_level":"open_access","file_name":"DECSUP-D-20-00312 - PREPUBLICATION.pdf","file_size":440903,"creator":"hsiemes","date_created":"2020-10-27T13:31:01Z","date_updated":"2020-10-27T13:31:01Z","relation":"main_file","content_type":"application/pdf"}]},{"page":"119--123","citation":{"apa":"Kersting, J., &#38; Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>, 119--123.","mla":"Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>, IADIS, 2020, pp. 119--123.","short":"J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.","bibtex":"@inproceedings{Kersting_Bäumer_2020, title={SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH}, booktitle={PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020}, publisher={IADIS}, author={Kersting, Joschka and Bäumer, Frederik Simon}, year={2020}, pages={119--123} }","ieee":"J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH,” in <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>, Lisbon, Portugal, 2020, pp. 119--123.","chicago":"Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>, 119--123. IADIS, 2020.","ama":"Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In: <i>PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020</i>. IADIS; 2020:119--123."},"year":"2020","has_accepted_license":"1","conference":{"end_date":"20.11.2020","location":"Lisbon, Portugal","name":"17th International Conference on Applied Computing","start_date":"18.11.2020"},"title":"SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH","author":[{"full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting","first_name":"Joschka"},{"first_name":"Frederik Simon","full_name":"Bäumer, Frederik Simon","id":"38837","last_name":"Bäumer"}],"date_created":"2020-08-31T10:59:54Z","publisher":"IADIS","date_updated":"2022-01-06T06:53:51Z","status":"public","file":[{"file_name":"Kersting & Bäumer (2020), Kersting2020d.pdf","access_level":"closed","file_id":"20443","file_size":1064877,"date_created":"2020-11-19T17:29:03Z","creator":"jkers","date_updated":"2020-11-19T17:29:03Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"publication":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020","type":"conference","language":[{"iso":"eng"}],"file_date_updated":"2020-11-19T17:29:03Z","keyword":["Software Requirements","Natural Language Processing","Transfer Learning","On-The-Fly Computing"],"ddc":["000"],"department":[{"_id":"579"}],"user_id":"58701","_id":"18686","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - Subproject B1"}]},{"publisher":"SCITEPRESS","date_created":"2020-01-15T08:35:07Z","title":"Aspect Phrase Extraction in Sentiment Analysis with Deep Learning","year":"2020","keyword":["Deep Learning","Natural Language Processing","Aspect-based Sentiment Analysis"],"ddc":["000"],"language":[{"iso":"eng"}],"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)","abstract":[{"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.","lang":"eng"}],"file":[{"file_id":"19576","access_level":"closed","file_name":"Kersting & Geierhos (2020), Kersting2020.pdf","file_size":421780,"creator":"jkers","date_created":"2020-09-18T09:27:00Z","date_updated":"2020-09-18T09:27:00Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"date_updated":"2022-01-06T06:52:29Z","author":[{"last_name":"Kersting","full_name":"Kersting, Joschka","id":"58701","first_name":"Joschka"},{"last_name":"Geierhos","orcid":"0000-0002-8180-5606","id":"42496","full_name":"Geierhos, Michaela","first_name":"Michaela"}],"conference":{"name":"International Conference on Agents and Artificial Intelligence (ICAART) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI)","location":"Valetta, Malta"},"has_accepted_license":"1","place":"Setúbal, Portugal","page":"391--400","citation":{"apa":"Kersting, J., &#38; Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i> (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} }","mla":"Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, 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.","ama":"Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In: <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>. Setúbal, Portugal: SCITEPRESS; 2020:391--400.","ieee":"J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, Valetta, Malta, 2020, pp. 391--400.","chicago":"Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In <i>Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)</i>, 391--400. Setúbal, Portugal: SCITEPRESS, 2020."},"_id":"15580","project":[{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"1","name":"SFB 901"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"department":[{"_id":"579"}],"user_id":"58701","file_date_updated":"2020-09-18T09:27:00Z","type":"conference","status":"public"},{"language":[{"iso":"eng"}],"keyword":["OTF Computing","Natural Language Processing","Requirements Engineering"],"department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"user_id":"42496","_id":"8312","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"status":"public","publication":"encyclopedia.pub","type":"encyclopedia_article","main_file_link":[{"url":"https://encyclopedia.pub/131","open_access":"1"}],"title":"Requirements Engineering in OTF-Computing","date_created":"2019-03-05T08:54:37Z","author":[{"first_name":"Frederik Simon","id":"38837","full_name":"Bäumer, Frederik Simon","last_name":"Bäumer"},{"first_name":"Michaela","id":"42496","full_name":"Geierhos, Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos"}],"date_updated":"2022-01-06T07:03:53Z","publisher":"MDPI","oa":"1","citation":{"apa":"Bäumer, F. S., &#38; Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In <i>encyclopedia.pub</i>. Basel, Switzerland: MDPI.","mla":"Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” <i>Encyclopedia.Pub</i>, MDPI, 2019.","short":"F.S. Bäumer, M. Geierhos, in: Encyclopedia.Pub, MDPI, Basel, Switzerland, 2019.","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} }","ieee":"F. S. Bäumer and M. Geierhos, “Requirements Engineering in OTF-Computing,” in <i>encyclopedia.pub</i>, Basel, Switzerland: MDPI, 2019.","chicago":"Bäumer, Frederik Simon, and Michaela Geierhos. “Requirements Engineering in OTF-Computing.” In <i>Encyclopedia.Pub</i>. Basel, Switzerland: MDPI, 2019.","ama":"Bäumer FS, Geierhos M. Requirements Engineering in OTF-Computing. In: <i>Encyclopedia.Pub</i>. Basel, Switzerland: MDPI; 2019."},"year":"2019","place":"Basel, Switzerland","quality_controlled":"1","publication_status":"published"},{"date_updated":"2022-01-06T06:55:49Z","author":[{"full_name":"Kim, Yeongsu ","last_name":"Kim","first_name":"Yeongsu "},{"first_name":"Seungwoo","last_name":"Lee","full_name":"Lee, Seungwoo"},{"full_name":"Dollmann, Markus","id":"27578","last_name":"Dollmann","first_name":"Markus"},{"first_name":"Michaela","last_name":"Geierhos","orcid":"0000-0002-8180-5606","id":"42496","full_name":"Geierhos, Michaela"}],"volume":112,"doi":"10.14257/ijast.2018.112.12","publication_status":"published","has_accepted_license":"1","publication_identifier":{"issn":["2005-4238"],"eissn":["2207-6360"]},"citation":{"ama":"Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. <i>International Journal of Advanced Science and Technology</i>. 2018;112:123-136. doi:<a href=\"https://doi.org/10.14257/ijast.2018.112.12\">10.14257/ijast.2018.112.12</a>","ieee":"Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure,” <i>International Journal of Advanced Science and Technology</i>, vol. 112, pp. 123–136, 2018.","chicago":"Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.” <i>International Journal of Advanced Science and Technology</i> 112 (2018): 123–36. <a href=\"https://doi.org/10.14257/ijast.2018.112.12\">https://doi.org/10.14257/ijast.2018.112.12</a>.","apa":"Kim, Y., Lee, S., Dollmann, M., &#38; Geierhos, M. (2018). Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. <i>International Journal of Advanced Science and Technology</i>, <i>112</i>, 123–136. <a href=\"https://doi.org/10.14257/ijast.2018.112.12\">https://doi.org/10.14257/ijast.2018.112.12</a>","short":"Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced Science and Technology 112 (2018) 123–136.","mla":"Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.” <i>International Journal of Advanced Science and Technology</i>, vol. 112, SERSC Australia, 2018, pp. 123–36, doi:<a href=\"https://doi.org/10.14257/ijast.2018.112.12\">10.14257/ijast.2018.112.12</a>.","bibtex":"@article{Kim_Lee_Dollmann_Geierhos_2018, title={Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure}, volume={112}, DOI={<a href=\"https://doi.org/10.14257/ijast.2018.112.12\">10.14257/ijast.2018.112.12</a>}, journal={International Journal of Advanced Science and Technology}, publisher={SERSC Australia}, author={Kim, Yeongsu  and Lee, Seungwoo and Dollmann, Markus and Geierhos, Michaela}, year={2018}, pages={123–136} }"},"page":"123-136","intvolume":"       112","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"2331","user_id":"477","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"article_type":"original","file_date_updated":"2018-11-02T15:16:29Z","type":"journal_article","status":"public","publisher":"SERSC Australia","date_created":"2018-04-13T09:19:22Z","title":"Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure","quality_controlled":"1","year":"2018","ddc":["000"],"keyword":["Software Engineering","Natural Language Processing","Semantic Annotation","Machine Learning","Feature Engineering","Syntactic Structure"],"language":[{"iso":"eng"}],"publication":"International Journal of Advanced Science and Technology","abstract":[{"lang":"eng","text":"A user generally writes software requirements in ambiguous and incomplete form by using natural language; therefore, a software developer may have difficulty in clearly understanding what the meanings are. To solve this problem with automation, we propose a classifier for semantic annotation with manually pre-defined semantic categories. To improve our classifier, we carefully designed syntactic features extracted by constituency and dependency parsers. Even with a small dataset and a large number of classes, our proposed classifier records an accuracy of 0.75, which outperforms the previous model, REaCT."}],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_name":"12.pdf","file_id":"5297","file_size":586968,"date_created":"2018-11-02T15:16:29Z","creator":"ups","date_updated":"2018-11-02T15:16:29Z"}]},{"title":"Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines","date_created":"2017-10-17T12:40:59Z","year":"2018","quality_controlled":"1","language":[{"iso":"eng"}],"keyword":["Software Product Lines: Engineering","Services","and Management","Ambiguities","Incompleteness","Natural Language Processing","Software Requirements"],"ddc":["000"],"file":[{"file_id":"5274","access_level":"closed","file_name":"paper0722.pdf","file_size":753693,"creator":"ups","date_created":"2018-11-02T14:32:35Z","date_updated":"2018-11-02T14:32:35Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"abstract":[{"lang":"eng","text":"Natural language software requirements descriptions enable end users to formulate their wishes and expectations for a future software product without much prior knowledge in requirements engineering. However, these descriptions are susceptible to linguistic inaccuracies such as ambiguities and incompleteness that can harm the development process. There is a number of software solutions that can detect deficits in requirements descriptions and partially solve them, but they are often hard to use and not suitable for end users. For this reason, we develop a software system that helps end-users to create unambiguous and complete requirements descriptions by combining existing expert tools and controlling them using automatic compensation strategies. In order to recognize the necessity of individual compensation methods in the descriptions, we have developed linguistic indicators, which we present in this paper. Based on these indicators, the whole text analysis pipeline is ad-hoc configured and thus adapted to the individual circumstances of a requirements description."}],"publication":"Proceedings of the 51st Hawaii International Conference on System Sciences","doi":"10125/50609","conference":{"start_date":"2018-01-03","name":"51st Hawaii International Conference on System Sciences (HICSS 2018)","location":"Big Island, Waikoloa Village","end_date":"2018-01-06"},"main_file_link":[{"url":"https://scholarspace.manoa.hawaii.edu/bitstream/10125/50609/1/paper0722.pdf","open_access":"1"}],"author":[{"full_name":"Bäumer, Frederik Simon","id":"38837","last_name":"Bäumer","first_name":"Frederik Simon"},{"first_name":"Michaela","full_name":"Geierhos, Michaela","id":"42496","last_name":"Geierhos","orcid":"0000-0002-8180-5606"}],"date_updated":"2022-01-06T07:01:01Z","oa":"1","page":"5746-5755","citation":{"apa":"Bäumer, F. S., &#38; Geierhos, M. (2018). Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In <i>Proceedings of the 51st Hawaii International Conference on System Sciences</i> (pp. 5746–5755). Big Island, Waikoloa Village. <a href=\"https://doi.org/10125/50609\">https://doi.org/10125/50609</a>","short":"F.S. Bäumer, M. Geierhos, in: Proceedings of the 51st Hawaii International Conference on System Sciences, 2018, pp. 5746–5755.","mla":"Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines.” <i>Proceedings of the 51st Hawaii International Conference on System Sciences</i>, 2018, pp. 5746–55, doi:<a href=\"https://doi.org/10125/50609\">10125/50609</a>.","bibtex":"@inproceedings{Bäumer_Geierhos_2018, title={Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines}, DOI={<a href=\"https://doi.org/10125/50609\">10125/50609</a>}, booktitle={Proceedings of the 51st Hawaii International Conference on System Sciences}, author={Bäumer, Frederik Simon and Geierhos, Michaela}, year={2018}, pages={5746–5755} }","ama":"Bäumer FS, Geierhos M. Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines. In: <i>Proceedings of the 51st Hawaii International Conference on System Sciences</i>. ; 2018:5746-5755. doi:<a href=\"https://doi.org/10125/50609\">10125/50609</a>","chicago":"Bäumer, Frederik Simon, and Michaela Geierhos. “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-Based Configuration of Text Analysis Pipelines.” In <i>Proceedings of the 51st Hawaii International Conference on System Sciences</i>, 5746–55, 2018. <a href=\"https://doi.org/10125/50609\">https://doi.org/10125/50609</a>.","ieee":"F. S. Bäumer and M. Geierhos, “Flexible Ambiguity Resolution and Incompleteness Detection in Requirements Descriptions via an Indicator-based Configuration of Text Analysis Pipelines,” in <i>Proceedings of the 51st Hawaii International Conference on System Sciences</i>, Big Island, Waikoloa Village, 2018, pp. 5746–5755."},"publication_identifier":{"isbn":["978-0-9981331-1-9"]},"has_accepted_license":"1","publication_status":"published","file_date_updated":"2018-11-02T14:32:35Z","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"user_id":"477","_id":"44","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"status":"public","type":"conference"},{"file_date_updated":"2018-12-12T15:30:59Z","article_type":"original","user_id":"477","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"1098","status":"public","type":"journal_article","author":[{"first_name":"Yeong-Su","last_name":"Kim","full_name":"Kim, Yeong-Su"},{"first_name":"Seung-Woo ","last_name":"Lee","full_name":"Lee, Seung-Woo "},{"first_name":"Markus","last_name":"Dollmann","id":"27578","full_name":"Dollmann, Markus"},{"id":"42496","full_name":"Geierhos, Michaela","orcid":"0000-0002-8180-5606","last_name":"Geierhos","first_name":"Michaela"}],"volume":4,"date_updated":"2022-01-06T06:50:55Z","citation":{"ieee":"Y.-S. Kim, S.-W. Lee, M. Dollmann, and M. Geierhos, “Semantic Annotation of Software Requirements with Language Frame,” <i>International Journal of Software Engineering for Smart Device</i>, vol. 4, no. 2, pp. 1–6, 2017.","chicago":"Kim, Yeong-Su, Seung-Woo  Lee, Markus Dollmann, and Michaela Geierhos. “Semantic Annotation of Software Requirements with Language Frame.” <i>International Journal of Software Engineering for Smart Device</i> 4, no. 2 (2017): 1–6.","ama":"Kim Y-S, Lee S-W, Dollmann M, Geierhos M. Semantic Annotation of Software Requirements with Language Frame. <i>International Journal of Software Engineering for Smart Device</i>. 2017;4(2):1-6.","mla":"Kim, Yeong-Su, et al. “Semantic Annotation of Software Requirements with Language Frame.” <i>International Journal of Software Engineering for Smart Device</i>, vol. 4, no. 2, Global Vision School Publication, 2017, pp. 1–6.","bibtex":"@article{Kim_Lee_Dollmann_Geierhos_2017, title={Semantic Annotation of Software Requirements with Language Frame}, volume={4}, number={2}, journal={International Journal of Software Engineering for Smart Device}, publisher={Global Vision School Publication}, author={Kim, Yeong-Su and Lee, Seung-Woo  and Dollmann, Markus and Geierhos, Michaela}, year={2017}, pages={1–6} }","short":"Y.-S. Kim, S.-W. Lee, M. Dollmann, M. Geierhos, International Journal of Software Engineering for Smart Device 4 (2017) 1–6.","apa":"Kim, Y.-S., Lee, S.-W., Dollmann, M., &#38; Geierhos, M. (2017). Semantic Annotation of Software Requirements with Language Frame. <i>International Journal of Software Engineering for Smart Device</i>, <i>4</i>(2), 1–6."},"page":"1-6","intvolume":"         4","publication_status":"published","has_accepted_license":"1","publication_identifier":{"issn":["2205-8494"]},"language":[{"iso":"eng"}],"ddc":["000"],"keyword":["Natural Language Processing","Semantic Annotation","Machine Learning"],"file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_name":"Semantic_Annotation_of_Software_Requirements.pdf","access_level":"closed","file_id":"6196","file_size":244655,"creator":"ups","date_created":"2018-12-12T15:30:59Z","date_updated":"2018-12-12T15:30:59Z"}],"abstract":[{"lang":"eng","text":"An end user generally writes down software requirements in ambiguous expressions using natural language; hence, a software developer attuned to programming language finds it difficult to understand th meaning of the requirements. To solve this problem we define semantic categories for disambiguation and classify/annotate the requirement into the categories by using machine-learning models. We extensively use a language frame closely related to such categories for designing features to overcome the problem of insufficient training data compare to the large number of classes. Our proposed model obtained a micro-average F1-score of 0.75, outperforming the previous model, REaCT."}],"publication":"International Journal of Software Engineering for Smart Device","title":"Semantic Annotation of Software Requirements with Language Frame","date_created":"2018-01-25T15:23:15Z","publisher":"Global Vision School Publication","year":"2017","issue":"2","quality_controlled":"1"},{"title":"BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen","date_created":"2018-01-29T14:52:46Z","publisher":"Lincom","year":"2010","edition":"1","language":[{"iso":"ger"}],"keyword":["Natural Language Processing"],"abstract":[{"text":"Das wesentliche Ziel der vorliegenden Publikation ist die Erstellung von sprachspezifischen Modulen im Bereich der Biographischen InformationsExtraktion (BiographIE). Unter Informationsextraktion verstehen wir die automatisierte Analyse von Dokumenten im Hinblick auf das Entdecken und Normalisieren von semantisch interessanten Entitäten und deren Eigenschaften.\r\nDas Hauptgewicht der Arbeit liegt auf sehr detaillierten und umfangreichen linguistischen Grammatiken im Bereich der Beschreibung von Personen und deren Beziehungen zu anderen relevanten Entitäten (z.B. Organisationen, Orte, Datums- und Zeitangaben) in Texten. Neben den öffentlichen und privaten Eigenschaften von Personen (Geburtsdatum, Nationalität etc.) sollen vor allem alle biographisch relevanten Attribute aus Texten extrahiert werden können. Dazu gehören in erster Linie berufliche Werdegänge, Anstellungsverhältnisse, Rollen in Firmen und ähnliche Eigenschaften. Da alle diese Attribute in unzählbar verschiedenen Formen ausgedrückt werden können, müssen sehr umfangreiche Lexika und sehr detaillierte grammatische Beschreibungen erstellt werden. Dies geschieht hauptsächlich bei der systematischen Evaluierung von Korpora. Je umfangreicher diese sind, desto adäquater werden die erstellten Grammatiken sein. Im Gegensatz zu den heute üblichen statistischen, auf maschinellem Lernen basierenden Verfahren setzen wir auch umfangreiche semi-automatisch erstellte, linguistische Module ein, die dann durch systematische Evaluierung auf Korpora schnell ergänzt und verbessert werden können.\r\nBasierend auf unseren Extraktionsmethoden ist es nun möglich, im Bereich der semantischen Suche deutliche Fortschritte zu machen. Insbesondere Personensuchmaschinen können sich unsere detaillierten Analysemethoden zu Nutze machen, um beispielsweise zu ermitteln, wer in welcher Funktion bei welcher Firma von wann bis wann beschäftigt war.","lang":"ger"}],"volume":5,"author":[{"last_name":"Geierhos","orcid":"0000-0002-8180-5606","id":"42496","full_name":"Geierhos, Michaela","first_name":"Michaela"}],"date_updated":"2022-01-06T06:50:57Z","intvolume":"         5","page":"286","citation":{"apa":"Geierhos, M. (2010). <i>BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen</i> (1st ed., Vol. 5). München: Lincom.","short":"M. Geierhos, BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen, 1st ed., Lincom, München, 2010.","bibtex":"@book{Geierhos_2010, place={München}, edition={1}, series={Linguistic Resources for Natural Language Processing}, title={BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen}, volume={5}, publisher={Lincom}, author={Geierhos, Michaela}, year={2010}, collection={Linguistic Resources for Natural Language Processing} }","mla":"Geierhos, Michaela. <i>BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen</i>. 1st ed., vol. 5, Lincom, 2010.","ama":"Geierhos M. <i>BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen</i>. Vol 5. 1st ed. München: Lincom; 2010.","chicago":"Geierhos, Michaela. <i>BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen</i>. 1st ed. Vol. 5. Linguistic Resources for Natural Language Processing. München: Lincom, 2010.","ieee":"M. Geierhos, <i>BiographIE - Klassifikation und Extraktion karrierespezifischer Informationen</i>, 1st ed., vol. 5. München: Lincom, 2010."},"place":"München","publication_identifier":{"isbn":["9783862880133"]},"publication_status":"published","extern":"1","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"user_id":"42496","series_title":"Linguistic Resources for Natural Language Processing","_id":"1118","status":"public","type":"book"}]