[{"quality_controlled":"1","year":"2024","corporate_editor":["Mehwish Alam"],"date_created":"2024-11-19T14:12:49Z","title":"FaVEL: Fact Validation Ensemble Learning","publication":"EKAW 2024","abstract":[{"text":"Validating assertions before adding them to a knowledge graph is an essential part of its creation and maintenance. Due to the sheer size of knowledge graphs, automatic fact-checking approaches have been developed. These approaches rely on reference knowledge to decide whether a given assertion is correct. Recent hybrid approaches achieve good results by including several knowledge sources. However, it is often impractical to provide a sheer quantity of textual knowledge or generate embedding models to leverage these hybrid approaches. We present FaVEL, an approach that uses algorithm selection and ensemble learning to amalgamate several existing fact-checking approaches that rely solely on a reference knowledge graph and, hence, use fewer resources than current hybrid approaches. For our evaluation, we create updated versions of two existing datasets and a new dataset dubbed FaVEL-DS. Our evaluation compares our approach to 15 fact-checking approaches—including the state-of-the-art approach HybridFC—on 3 datasets. Our results demonstrate that FaVEL outperforms all other approaches significantly by at least 0.04 in terms of the area under the ROC curve. Our source code, datasets, and evaluation results are open-source and can be found at https://github.com/dice-group/favel.","lang":"eng"}],"file":[{"date_updated":"2024-11-19T14:14:14Z","date_created":"2024-11-19T14:14:14Z","creator":"uqudus","file_size":190661,"access_level":"closed","file_name":"favel.pdf","file_id":"57241","content_type":"application/pdf","success":1,"relation":"main_file"}],"ddc":["600"],"keyword":["fact checking","ensemble learning","transfer learning","knowledge management."],"language":[{"iso":"eng"}],"has_accepted_license":"1","citation":{"apa":"Qudus, U., Röder, M., Tatkeu Pekarou, F. L., Morim da Silva, A. A., &#38; Ngonga Ngomo, A.-C. (2024). FaVEL: Fact Validation Ensemble Learning. In M. Rospocher &#38; Mehwish Alam (Eds.), <i>EKAW 2024</i>.","short":"U. Qudus, M. Röder, F.L. Tatkeu Pekarou, A.A. Morim da Silva, A.-C. Ngonga Ngomo, in: M. Rospocher, Mehwish Alam (Eds.), EKAW 2024, 2024.","mla":"Qudus, Umair, et al. “FaVEL: Fact Validation Ensemble Learning.” <i>EKAW 2024</i>, edited by Marco Rospocher and Mehwish Alam, 2024.","bibtex":"@inproceedings{Qudus_Röder_Tatkeu Pekarou_Morim da Silva_Ngonga Ngomo_2024, title={FaVEL: Fact Validation Ensemble Learning}, booktitle={EKAW 2024}, author={Qudus, Umair and Röder, Michael and Tatkeu Pekarou, Franck Lionel and Morim da Silva, Ana Alexandra and Ngonga Ngomo, Axel-Cyrille}, editor={Rospocher, Marco and Mehwish Alam}, year={2024} }","chicago":"Qudus, Umair, Michael Röder, Franck Lionel Tatkeu Pekarou, Ana Alexandra Morim da Silva, and Axel-Cyrille Ngonga Ngomo. “FaVEL: Fact Validation Ensemble Learning.” In <i>EKAW 2024</i>, edited by Marco Rospocher and Mehwish Alam, 2024.","ieee":"U. Qudus, M. Röder, F. L. Tatkeu Pekarou, A. A. Morim da Silva, and A.-C. Ngonga Ngomo, “FaVEL: Fact Validation Ensemble Learning,” in <i>EKAW 2024</i>, Amsterdam, Netherlands, 2024.","ama":"Qudus U, Röder M, Tatkeu Pekarou FL, Morim da Silva AA, Ngonga Ngomo A-C. FaVEL: Fact Validation Ensemble Learning. In: Rospocher M, Mehwish Alam, eds. <i>EKAW 2024</i>. ; 2024."},"date_updated":"2025-09-11T09:48:12Z","author":[{"first_name":"Umair","id":"83392","full_name":"Qudus, Umair","orcid":"0000-0001-6714-8729","last_name":"Qudus"},{"first_name":"Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","full_name":"Röder, Michael","id":"67199"},{"first_name":"Franck Lionel","last_name":"Tatkeu Pekarou","full_name":"Tatkeu Pekarou, Franck Lionel"},{"first_name":"Ana Alexandra","last_name":"Morim da Silva","id":"72108","full_name":"Morim da Silva, Ana Alexandra"},{"first_name":"Axel-Cyrille","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo"}],"conference":{"name":"24th International Conference on Knowledge Engineering and Knowledge Management","start_date":"2024-11-26","end_date":"2024-11-28","location":"Amsterdam, Netherlands"},"popular_science":"1","type":"conference","editor":[{"last_name":"Rospocher","full_name":"Rospocher, Marco","first_name":"Marco"}],"status":"public","project":[{"name":"NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen","_id":"412"},{"name":"SAIL: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen","_id":"285"},{"_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"}],"_id":"57240","user_id":"83392","department":[{"_id":"34"}],"file_date_updated":"2024-11-19T14:14:14Z"},{"type":"conference","publication":"Hawaii International Conference on System Sciences","abstract":[{"lang":"eng","text":"Clinical depression is a serious mental disorder that poses challenges for both personal and public health. Millions of people struggle with depression each year, but for many, the disorder goes undiagnosed or untreated. Over the last decade, early depression detection on social media emerged as an interdisciplinary research field. However, there is still a gap in detecting hesitant, depression-susceptible individuals with minimal direct depressive signals at an early stage. We, therefore, take up this open point and leverage posts from Reddit to fill the addressed gap. Our results demonstrate the potential of contemporary Transformer architectures in yielding promising predictive capabilities for mental health research. Furthermore, we investigate the model’s interpretability using a surrogate and a topic modeling approach. Based on our findings, we consider this work as a further step towards developing a better understanding of mental eHealth and hope that our results can support the development of future technologies."}],"status":"public","_id":"45270","user_id":"60721","department":[{"_id":"195"},{"_id":"196"}],"keyword":["Social Media and Healthcare Technology","early depression detection","liwc","mental health","transfer learning","transformer architectures"],"language":[{"iso":"eng"}],"publication_status":"published","related_material":{"link":[{"relation":"confirmation","url":"https://hdl.handle.net/10125/103046"}]},"year":"2023","citation":{"short":"H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.","mla":"Halimeh, Haya, et al. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” <i>Hawaii International Conference on System Sciences</i>, 2023.","bibtex":"@inproceedings{Halimeh_Caron_Müller_2023, title={Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features}, booktitle={Hawaii International Conference on System Sciences}, author={Halimeh, Haya and Caron, Matthew and Müller, Oliver}, year={2023} }","apa":"Halimeh, H., Caron, M., &#38; Müller, O. (2023). Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. <i>Hawaii International Conference on System Sciences</i>. Hawaii International Conference on System Sciences.","ama":"Halimeh H, Caron M, Müller O. Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. In: <i>Hawaii International Conference on System Sciences</i>. ; 2023.","chicago":"Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” In <i>Hawaii International Conference on System Sciences</i>, 2023.","ieee":"H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,” presented at the Hawaii International Conference on System Sciences, 2023."},"oa":"1","date_updated":"2024-01-10T15:16:37Z","author":[{"full_name":"Halimeh, Haya","id":"87673","last_name":"Halimeh","first_name":"Haya"},{"first_name":"Matthew","last_name":"Caron","full_name":"Caron, Matthew","id":"60721"},{"last_name":"Müller","id":"72849","full_name":"Müller, Oliver","first_name":"Oliver"}],"date_created":"2023-05-25T10:25:21Z","title":"Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features","main_file_link":[{"url":"https://scholarspace.manoa.hawaii.edu/items/2ddab486-5d2f-4302-8de3-a8b24017da3d","open_access":"1"}],"conference":{"start_date":"2023-01-03","name":"Hawaii International Conference on System Sciences","end_date":"2023-01-06"}},{"publisher":"Springer, Cham","date_created":"2024-01-13T11:22:15Z","title":"TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs","year":"2023","ddc":["006"],"keyword":["temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs"],"language":[{"iso":"eng"}],"publication":"The Semantic Web – ISWC 2023","abstract":[{"lang":"eng","text":"Verifying assertions is an essential part of creating and maintaining knowledge graphs. Most often, this task cannot be carried out manually due to the sheer size of modern knowledge graphs. Hence, automatic fact-checking approaches have been proposed over the last decade. These approaches aim to compute automatically whether a given assertion is correct or incorrect. However, most fact-checking approaches are binary classifiers that fail to consider the volatility of some assertions, i.e., the fact that such assertions are only valid at certain times or for specific time intervals. Moreover, the few approaches able to predict when an assertion was valid (i.e., time-point prediction approaches) rely on manual feature engineering. This paper presents TEMPORALFC, a temporal fact-checking approach that uses multiple sources of background knowledge to assess the veracity and temporal validity of a given assertion. We evaluate TEMPORALFC on two datasets and compare it to the state of the art in fact-checking and time-point prediction. Our results suggest that TEMPORALFC outperforms the state of the art on the fact-checking task by 0.13 to 0.15 in terms of Area Under the Receiver Operating Characteristic curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC."}],"file":[{"file_id":"50480","file_name":"ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge Graphs.pdf","access_level":"closed","file_size":1944818,"date_created":"2024-01-13T11:25:48Z","creator":"uqudus","date_updated":"2024-01-13T11:25:48Z","relation":"main_file","success":1,"content_type":"application/pdf"}],"date_updated":"2024-01-13T11:48:28Z","author":[{"last_name":"Qudus","full_name":"Qudus, Umair","first_name":"Umair"},{"last_name":"Röder","full_name":"Röder, Michael","first_name":"Michael"},{"full_name":"Kirrane, Sabrina","last_name":"Kirrane","first_name":"Sabrina"},{"first_name":"Axel-Cyrille Ngonga","last_name":"Ngomo","full_name":"Ngomo, Axel-Cyrille Ngonga"}],"volume":14265,"conference":{"name":"The Semantic Web – ISWC 2023","start_date":"2023-11-06","end_date":"2023-11-10","location":"Athens, Greece"},"doi":"10.1007/978-3-031-47240-4_25","publication_status":"published","publication_identifier":{"isbn":["9783031472398","9783031472404"],"issn":["0302-9743","1611-3349"]},"has_accepted_license":"1","place":"Cham","jel":["C"],"citation":{"ieee":"U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs,” in <i>The Semantic Web – ISWC 2023</i>, Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>.","chicago":"Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” In <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, and Juanzi Li, 14265:465–483.  Lecture Notes in Computer Science. Cham: Springer, Cham, 2023. <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">https://doi.org/10.1007/978-3-031-47240-4_25</a>.","ama":"Qudus U, Röder M, Kirrane S, Ngomo A-CN. TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In: R. Payne T, Presutti V, Qi G, et al., eds. <i>The Semantic Web – ISWC 2023</i>. Vol 14265.  Lecture Notes in Computer Science. Springer, Cham; 2023:465–483. doi:<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>","mla":"Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” <i>The Semantic Web – ISWC 2023</i>, edited by Terry R. Payne et al., vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>.","bibtex":"@inproceedings{Qudus_Röder_Kirrane_Ngomo_2023, place={Cham}, series={ Lecture Notes in Computer Science}, title={TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs}, volume={14265}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">10.1007/978-3-031-47240-4_25</a>}, booktitle={The Semantic Web – ISWC 2023}, publisher={Springer, Cham}, author={Qudus, Umair and Röder, Michael and Kirrane, Sabrina and Ngomo, Axel-Cyrille Ngonga}, editor={R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalón, María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong and Li, Juanzi}, year={2023}, pages={465–483}, collection={ Lecture Notes in Computer Science} }","short":"U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.","apa":"Qudus, U., Röder, M., Kirrane, S., &#38; Ngomo, A.-C. N. (2023). TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, &#38; J. Li (Eds.), <i>The Semantic Web – ISWC 2023</i> (Vol. 14265, pp. 465–483). Springer, Cham. <a href=\"https://doi.org/10.1007/978-3-031-47240-4_25\">https://doi.org/10.1007/978-3-031-47240-4_25</a>"},"page":"465–483","intvolume":"     14265","project":[{"grant_number":"860801","_id":"410","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale"}],"_id":"50479","user_id":"83392","series_title":" Lecture Notes in Computer Science","department":[{"_id":"34"}],"file_date_updated":"2024-01-13T11:25:48Z","type":"conference","editor":[{"full_name":"R. Payne, Terry","last_name":"R. Payne","first_name":"Terry"},{"first_name":"Valentina","last_name":"Presutti","full_name":"Presutti, Valentina"},{"last_name":"Qi","full_name":"Qi, Guilin","first_name":"Guilin"},{"first_name":"María","full_name":"Poveda-Villalón, María","last_name":"Poveda-Villalón"},{"first_name":"Giorgos","last_name":"Stoilos","full_name":"Stoilos, Giorgos"},{"full_name":"Hollink, Laura","last_name":"Hollink","first_name":"Laura"},{"full_name":"Kaoudi, Zoi","last_name":"Kaoudi","first_name":"Zoi"},{"last_name":"Cheng","full_name":"Cheng, Gong","first_name":"Gong"},{"last_name":"Li","full_name":"Li, Juanzi","first_name":"Juanzi"}],"status":"public"},{"language":[{"iso":"eng"}],"file_date_updated":"2021-10-15T15:54:41Z","keyword":["Software Requirements","Natural Language Processing","Transfer Learning","On-The-Fly Computing"],"ddc":["000"],"user_id":"58701","_id":"26049","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"status":"public","file":[{"content_type":"application/pdf","relation":"main_file","success":1,"creator":"jkers","date_created":"2021-10-15T15:54:41Z","date_updated":"2021-10-15T15:54:41Z","file_name":"Bäumer et al. (2021), Baeumer2021.pdf","access_level":"closed","file_id":"26282","file_size":411667}],"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"}],"publication":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021","type":"conference","conference":{"location":"Lisbon, Portugal","end_date":"15.10.2021","start_date":"13.10.2021","name":"18th International Conference on Applied Computing"},"title":"IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING","author":[{"full_name":"Bäumer, Frederik Simon","last_name":"Bäumer","first_name":"Frederik Simon"},{"full_name":"Kersting, Joschka","id":"58701","last_name":"Kersting","first_name":"Joschka"},{"first_name":"Sergej","last_name":"Denisov","full_name":"Denisov, Sergej"},{"first_name":"Michaela","full_name":"Geierhos, Michaela","id":"42496","orcid":"0000-0002-8180-5606","last_name":"Geierhos"}],"date_created":"2021-10-11T15:26:58Z","publisher":"IADIS","date_updated":"2022-01-06T06:57:16Z","page":"221--225","citation":{"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.","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."},"year":"2021","has_accepted_license":"1"},{"project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"_id":"18686","user_id":"58701","department":[{"_id":"579"}],"ddc":["000"],"keyword":["Software Requirements","Natural Language Processing","Transfer Learning","On-The-Fly Computing"],"language":[{"iso":"eng"}],"file_date_updated":"2020-11-19T17:29:03Z","type":"conference","publication":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","access_level":"closed","file_id":"20443","file_name":"Kersting & Bäumer (2020), Kersting2020d.pdf","file_size":1064877,"creator":"jkers","date_created":"2020-11-19T17:29:03Z","date_updated":"2020-11-19T17:29:03Z"}],"status":"public","publisher":"IADIS","date_updated":"2022-01-06T06:53:51Z","author":[{"last_name":"Kersting","full_name":"Kersting, Joschka","id":"58701","first_name":"Joschka"},{"full_name":"Bäumer, Frederik Simon","id":"38837","last_name":"Bäumer","first_name":"Frederik Simon"}],"date_created":"2020-08-31T10:59:54Z","title":"SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH","conference":{"location":"Lisbon, Portugal","end_date":"20.11.2020","start_date":"18.11.2020","name":"17th International Conference on Applied Computing"},"has_accepted_license":"1","year":"2020","citation":{"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.","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} }"},"page":"119--123"}]