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Pfannschmidt (Eds.), <i>Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning</i>.","bibtex":"@inproceedings{Couso_Ahmadi Fahandar_Hüllermeier_2016, title={Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators}, booktitle={Proceedings DA2PL ´2016, Euro Mini Conference from Multiple Criteria Decision Aid to Preference Learning}, author={Couso, Ines and Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}, editor={Busa-Fekete, Robert and Hüllermeier, Eyke and Mousseau, V. and Pfannschmidt, KarlsonEditors}, year={2016} }","ama":"Couso I, Ahmadi Fahandar M, Hüllermeier E. Statistical Inference for Incomplete Ranking Data: A Comparison of two likelihood-based estimators. 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Workshop Computational Intelligence, KIT Scientific Publishing}, author={Lu, S. and Hüllermeier, Eyke}, editor={Hoffmann, F. and Hüllermeier, Eyke and Mikut, R.Editors}, year={2016}, pages={1–8} }","ama":"Lu S, Hüllermeier E. Support vector classification on noisy data using fuzzy supersets losses. In: Hoffmann F, Hüllermeier E, Mikut R, eds. <i>Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing</i>. ; 2016:1-8.","short":"S. Lu, E. Hüllermeier, in: F. Hoffmann, E. Hüllermeier, R. Mikut (Eds.), Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing, 2016, pp. 1–8.","chicago":"Lu, S., and Eyke Hüllermeier. “Support Vector Classification on Noisy Data Using Fuzzy Supersets Losses.” In <i>Proceedings 26. Workshop Computational Intelligence, KIT Scientific Publishing</i>, edited by F. Hoffmann, Eyke Hüllermeier, and R. Mikut, 1–8, 2016.","ieee":"S. Lu and E. 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The Hague, The Netherlands: IOS Press.","bibtex":"@book{Kaminka_Fox_Bouquet_Hüllermeier_Dignum_Dignum_van Harmelen_2016, place={The Hague, The Netherlands}, series={Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands}, title={ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence}, volume={285}, publisher={IOS Press}, year={2016}, collection={Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands} }","ama":"Kaminka GA, Fox M, Bouquet P, et al., eds. <i>ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence</i>. Vol 285. The Hague, The Netherlands: IOS Press; 2016.","mla":"Kaminka, G. A., et al., editors. <i>ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence</i>. 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Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. <i>BioData Mining</i>. 2016;9(10).","bibtex":"@article{Riemenschneider_Senge_Neumann_Hüllermeier_Heider_2016, title={Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification}, volume={9}, number={10}, journal={BioData Mining}, author={Riemenschneider, M. and Senge, Robin and Neumann, U. and Hüllermeier, Eyke and Heider, D.}, year={2016} }"},"language":[{"iso":"eng"}],"_id":"10266","user_id":"49109","volume":9,"title":"Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification","year":"2016","status":"public","author":[{"full_name":"Riemenschneider, M.","last_name":"Riemenschneider","first_name":"M."},{"last_name":"Senge","first_name":"Robin","full_name":"Senge, Robin"},{"full_name":"Neumann, U.","last_name":"Neumann","first_name":"U."},{"id":"48129","last_name":"Hüllermeier","first_name":"Eyke","full_name":"Hüllermeier, Eyke"},{"full_name":"Heider, D.","first_name":"D.","last_name":"Heider"}],"date_updated":"2022-01-06T06:50:33Z","intvolume":"         9"},{"doi":"10.1016/j.suscom.2016.04.002","user_id":"15572","volume":10,"page":"48-55","_id":"1373","publisher":"Elsevier BV","date_updated":"2022-01-06T06:51:43Z","publication_status":"published","intvolume":"        10","status":"public","title":"Delayed (de-)activation in servers with a sleep mode","year":"2016","author":[{"full_name":"Herlich, Matthias","last_name":"Herlich","first_name":"Matthias"},{"full_name":"Bredenbals, Nico","last_name":"Bredenbals","first_name":"Nico"},{"first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger","id":"126"}],"publication_identifier":{"issn":["2210-5379"]},"type":"journal_article","department":[{"_id":"75"}],"date_created":"2018-03-19T13:29:17Z","publication":"Sustainable Computing: Informatics and Systems","citation":{"mla":"Herlich, Matthias, et al. “Delayed (de-)Activation in Servers with a Sleep Mode.” <i>Sustainable Computing: Informatics and Systems</i>, vol. 10, Elsevier BV, 2016, pp. 48–55, doi:<a href=\"https://doi.org/10.1016/j.suscom.2016.04.002\">10.1016/j.suscom.2016.04.002</a>.","ama":"Herlich M, Bredenbals N, Karl H. Delayed (de-)activation in servers with a sleep mode. <i>Sustainable Computing: Informatics and Systems</i>. 2016;10:48-55. doi:<a href=\"https://doi.org/10.1016/j.suscom.2016.04.002\">10.1016/j.suscom.2016.04.002</a>","bibtex":"@article{Herlich_Bredenbals_Karl_2016, title={Delayed (de-)activation in servers with a sleep mode}, volume={10}, DOI={<a href=\"https://doi.org/10.1016/j.suscom.2016.04.002\">10.1016/j.suscom.2016.04.002</a>}, journal={Sustainable Computing: Informatics and Systems}, publisher={Elsevier BV}, author={Herlich, Matthias and Bredenbals, Nico and Karl, Holger}, year={2016}, pages={48–55} }","apa":"Herlich, M., Bredenbals, N., &#38; Karl, H. (2016). Delayed (de-)activation in servers with a sleep mode. <i>Sustainable Computing: Informatics and Systems</i>, <i>10</i>, 48–55. <a href=\"https://doi.org/10.1016/j.suscom.2016.04.002\">https://doi.org/10.1016/j.suscom.2016.04.002</a>","ieee":"M. Herlich, N. Bredenbals, and H. Karl, “Delayed (de-)activation in servers with a sleep mode,” <i>Sustainable Computing: Informatics and Systems</i>, vol. 10, pp. 48–55, 2016.","short":"M. Herlich, N. Bredenbals, H. Karl, Sustainable Computing: Informatics and Systems 10 (2016) 48–55.","chicago":"Herlich, Matthias, Nico Bredenbals, and Holger Karl. “Delayed (de-)Activation in Servers with a Sleep Mode.” <i>Sustainable Computing: Informatics and Systems</i> 10 (2016): 48–55. <a href=\"https://doi.org/10.1016/j.suscom.2016.04.002\">https://doi.org/10.1016/j.suscom.2016.04.002</a>."}},{"date_updated":"2022-10-17T11:31:41Z","year":"2016","title":"Vandalism Detection in Wikidata","author":[{"id":"11871","full_name":"Heindorf, Stefan","orcid":"0000-0002-4525-6865","last_name":"Heindorf","first_name":"Stefan"},{"last_name":"Potthast","first_name":"Matthias","full_name":"Potthast, Matthias"},{"first_name":"Benno","last_name":"Stein","full_name":"Stein, Benno"},{"full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels","id":"107"}],"doi":"10.1145/2983323.2983740","main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/fg-engels/publications_pdfs/Konferenzbeitraege/heindorf2016_CIKM.pdf"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Wikidata is the new, large-scale knowledge base of the Wikimedia Foundation. Its knowledge is increasingly used within Wikipedia itself and various other kinds of information systems, imposing high demands on its integrity.Wikidata can be edited by anyone and, unfortunately, it frequently gets vandalized, exposing all information systems using it to the risk of spreading vandalized and falsified information. In this paper, we present a new machine learning-based approach to detect vandalism in Wikidata.We propose a set of 47 features that exploit both content and context information, and we report on 4 classifiers of increasing effectiveness tailored to this learning task. Our approach is evaluated on the recently published Wikidata Vandalism Corpus WDVC-2015 and it achieves an area under curve value of the receiver operating characteristic, ROC-AUC, of 0.991. It significantly outperforms the state of the art represented by the rule-based Wikidata Abuse Filter (0.865 ROC-AUC) and a prototypical vandalism detector recently introduced by Wikimedia within the Objective Revision Evaluation Service (0.859 ROC-AUC)."}],"publication":"Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)","type":"conference","department":[{"_id":"66"}],"file":[{"creator":"florida","date_created":"2018-03-21T13:01:43Z","date_updated":"2018-03-21T13:01:43Z","relation":"main_file","file_size":1842753,"access_level":"closed","file_name":"137-p327-heindorf.pdf","content_type":"application/pdf","success":1,"file_id":"1561"}],"date_created":"2017-10-17T12:41:18Z","has_accepted_license":"1","status":"public","ddc":["040"],"user_id":"11871","page":"327--336","_id":"137","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Subprojekt C5","_id":"17"},{"_id":"4","name":"SFB 901 - Project Area C"}],"file_date_updated":"2018-03-21T13:01:43Z","citation":{"ama":"Heindorf S, Potthast M, Stein B, Engels G. Vandalism Detection in Wikidata. In: <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>. ; 2016:327--336. doi:<a href=\"https://doi.org/10.1145/2983323.2983740\">10.1145/2983323.2983740</a>","bibtex":"@inproceedings{Heindorf_Potthast_Stein_Engels_2016, title={Vandalism Detection in Wikidata}, DOI={<a href=\"https://doi.org/10.1145/2983323.2983740\">10.1145/2983323.2983740</a>}, booktitle={Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)}, author={Heindorf, Stefan and Potthast, Matthias and Stein, Benno and Engels, Gregor}, year={2016}, pages={327--336} }","mla":"Heindorf, Stefan, et al. “Vandalism Detection in Wikidata.” <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>, 2016, pp. 327--336, doi:<a href=\"https://doi.org/10.1145/2983323.2983740\">10.1145/2983323.2983740</a>.","chicago":"Heindorf, Stefan, Matthias Potthast, Benno Stein, and Gregor Engels. “Vandalism Detection in Wikidata.” In <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>, 327--336, 2016. <a href=\"https://doi.org/10.1145/2983323.2983740\">https://doi.org/10.1145/2983323.2983740</a>.","short":"S. Heindorf, M. Potthast, B. Stein, G. Engels, in: Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), 2016, pp. 327--336.","apa":"Heindorf, S., Potthast, M., Stein, B., &#38; Engels, G. (2016). Vandalism Detection in Wikidata. <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>, 327--336. <a href=\"https://doi.org/10.1145/2983323.2983740\">https://doi.org/10.1145/2983323.2983740</a>","ieee":"S. Heindorf, M. Potthast, B. Stein, and G. Engels, “Vandalism Detection in Wikidata,” in <i>Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)</i>, 2016, pp. 327--336, doi: <a href=\"https://doi.org/10.1145/2983323.2983740\">10.1145/2983323.2983740</a>."},"oa":"1"},{"department":[{"_id":"64"}],"type":"book_chapter","place":"Cham","date_created":"2018-06-05T07:31:39Z","citation":{"bibtex":"@inbook{Blömer_Bujna_2016, place={Cham}, title={Adaptive Seeding for Gaussian Mixture Models}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-31750-2_24\">10.1007/978-3-319-31750-2_24</a>}, booktitle={Advances in Knowledge Discovery and Data Mining}, publisher={Springer International Publishing}, author={Blömer, Johannes and Bujna, Kathrin}, year={2016}, pages={296–308} }","ama":"Blömer J, Bujna K. Adaptive Seeding for Gaussian Mixture Models. In: <i>Advances in Knowledge Discovery and Data Mining</i>. Springer International Publishing; 2016:296-308. doi:<a href=\"https://doi.org/10.1007/978-3-319-31750-2_24\">10.1007/978-3-319-31750-2_24</a>","mla":"Blömer, Johannes, and Kathrin Bujna. “Adaptive Seeding for Gaussian Mixture Models.” <i>Advances in Knowledge Discovery and Data Mining</i>, Springer International Publishing, 2016, pp. 296–308, doi:<a href=\"https://doi.org/10.1007/978-3-319-31750-2_24\">10.1007/978-3-319-31750-2_24</a>.","chicago":"Blömer, Johannes, and Kathrin Bujna. “Adaptive Seeding for Gaussian Mixture Models.” In <i>Advances in Knowledge Discovery and Data Mining</i>, 296–308. Cham: Springer International Publishing, 2016. <a href=\"https://doi.org/10.1007/978-3-319-31750-2_24\">https://doi.org/10.1007/978-3-319-31750-2_24</a>.","short":"J. Blömer, K. Bujna, in: Advances in Knowledge Discovery and Data Mining, Springer International Publishing, Cham, 2016, pp. 296–308.","ieee":"J. Blömer and K. Bujna, “Adaptive Seeding for Gaussian Mixture Models,” in <i>Advances in Knowledge Discovery and Data Mining</i>, Cham: Springer International Publishing, 2016, pp. 296–308.","apa":"Blömer, J., &#38; Bujna, K. (2016). Adaptive Seeding for Gaussian Mixture Models. In <i>Advances in Knowledge Discovery and Data Mining</i> (pp. 296–308). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-319-31750-2_24\">https://doi.org/10.1007/978-3-319-31750-2_24</a>"},"publication":"Advances in Knowledge Discovery and Data Mining","doi":"10.1007/978-3-319-31750-2_24","user_id":"25078","publisher":"Springer International Publishing","_id":"2978","page":"296-308","date_updated":"2023-01-10T13:49:50Z","publication_status":"published","publication_identifier":{"isbn":["9783319317496","9783319317502"],"issn":["0302-9743","1611-3349"]},"author":[{"first_name":"Johannes","last_name":"Blömer","full_name":"Blömer, Johannes","id":"23"},{"full_name":"Bujna, Kathrin","first_name":"Kathrin","last_name":"Bujna"}],"year":"2016","status":"public","title":"Adaptive Seeding for Gaussian Mixture Models"},{"date_updated":"2023-10-19T12:08:00Z","publication_status":"published","intvolume":"        43","year":"2016","title":"Argumentation Mining in User-Generated Web Discourse","author":[{"id":"101881","full_name":"Habernal, Ivan","last_name":"Habernal","first_name":"Ivan"},{"last_name":"Gurevych","first_name":"Iryna","full_name":"Gurevych, Iryna"}],"publication_identifier":{"issn":["0891-2017","1530-9312"]},"doi":"10.1162/coli_a_00276","language":[{"iso":"eng"}],"abstract":[{"text":"<jats:p>The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study. (iii) We create a new gold standard corpus (90k tokens in 340 documents) and experiment with several machine learning methods to identify argument components. We offer the data, source codes, and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task.</jats:p>","lang":"eng"}],"publication":"Computational Linguistics","issue":"1","keyword":["Artificial Intelligence","Computer Science Applications","Linguistics and Language","Language and Linguistics"],"type":"journal_article","department":[{"_id":"34"},{"_id":"820"}],"date_created":"2023-10-19T08:30:44Z","status":"public","user_id":"15504","volume":43,"page":"125-179","_id":"48306","publisher":"MIT Press","citation":{"bibtex":"@article{Habernal_Gurevych_2016, title={Argumentation Mining in User-Generated Web Discourse}, volume={43}, DOI={<a href=\"https://doi.org/10.1162/coli_a_00276\">10.1162/coli_a_00276</a>}, number={1}, journal={Computational Linguistics}, publisher={MIT Press}, author={Habernal, Ivan and Gurevych, Iryna}, year={2016}, pages={125–179} }","short":"I. Habernal, I. Gurevych, Computational Linguistics 43 (2016) 125–179.","ama":"Habernal I, Gurevych I. Argumentation Mining in User-Generated Web Discourse. <i>Computational Linguistics</i>. 2016;43(1):125-179. doi:<a href=\"https://doi.org/10.1162/coli_a_00276\">10.1162/coli_a_00276</a>","chicago":"Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated Web Discourse.” <i>Computational Linguistics</i> 43, no. 1 (2016): 125–79. <a href=\"https://doi.org/10.1162/coli_a_00276\">https://doi.org/10.1162/coli_a_00276</a>.","ieee":"I. Habernal and I. Gurevych, “Argumentation Mining in User-Generated Web Discourse,” <i>Computational Linguistics</i>, vol. 43, no. 1, pp. 125–179, 2016, doi: <a href=\"https://doi.org/10.1162/coli_a_00276\">10.1162/coli_a_00276</a>.","apa":"Habernal, I., &#38; Gurevych, I. (2016). Argumentation Mining in User-Generated Web Discourse. <i>Computational Linguistics</i>, <i>43</i>(1), 125–179. <a href=\"https://doi.org/10.1162/coli_a_00276\">https://doi.org/10.1162/coli_a_00276</a>","mla":"Habernal, Ivan, and Iryna Gurevych. “Argumentation Mining in User-Generated Web Discourse.” <i>Computational Linguistics</i>, vol. 43, no. 1, MIT Press, 2016, pp. 125–79, doi:<a href=\"https://doi.org/10.1162/coli_a_00276\">10.1162/coli_a_00276</a>."}},{"publication_status":"published","date_updated":"2023-10-19T12:07:25Z","status":"public","year":"2016","title":"New Collection Announcement","author":[{"id":"101881","last_name":"Habernal","first_name":"Ivan","full_name":"Habernal, Ivan"},{"full_name":"Sukhareva, Maria","last_name":"Sukhareva","first_name":"Maria"},{"full_name":"Raiber, Fiana","last_name":"Raiber","first_name":"Fiana"},{"full_name":"Shtok, Anna","first_name":"Anna","last_name":"Shtok"},{"full_name":"Kurland, Oren","last_name":"Kurland","first_name":"Oren"},{"first_name":"Hadar","last_name":"Ronen","full_name":"Ronen, Hadar"},{"full_name":"Bar-Ilan, Judit","first_name":"Judit","last_name":"Bar-Ilan"},{"last_name":"Gurevych","first_name":"Iryna","full_name":"Gurevych, Iryna"}],"user_id":"15504","doi":"10.1145/2911451.2914682","alternative_title":["Focused Retrieval Over the Web"],"_id":"48308","publisher":"ACM","language":[{"iso":"eng"}],"publication":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","citation":{"chicago":"Habernal, Ivan, Maria Sukhareva, Fiana Raiber, Anna Shtok, Oren Kurland, Hadar Ronen, Judit Bar-Ilan, and Iryna Gurevych. “New Collection Announcement.” In <i>Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval</i>. ACM, 2016. <a href=\"https://doi.org/10.1145/2911451.2914682\">https://doi.org/10.1145/2911451.2914682</a>.","short":"I. Habernal, M. Sukhareva, F. Raiber, A. Shtok, O. Kurland, H. Ronen, J. Bar-Ilan, I. Gurevych, in: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, 2016.","ama":"Habernal I, Sukhareva M, Raiber F, et al. New Collection Announcement. In: <i>Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval</i>. ACM; 2016. doi:<a href=\"https://doi.org/10.1145/2911451.2914682\">10.1145/2911451.2914682</a>","bibtex":"@inproceedings{Habernal_Sukhareva_Raiber_Shtok_Kurland_Ronen_Bar-Ilan_Gurevych_2016, title={New Collection Announcement}, DOI={<a href=\"https://doi.org/10.1145/2911451.2914682\">10.1145/2911451.2914682</a>}, booktitle={Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval}, publisher={ACM}, author={Habernal, Ivan and Sukhareva, Maria and Raiber, Fiana and Shtok, Anna and Kurland, Oren and Ronen, Hadar and Bar-Ilan, Judit and Gurevych, Iryna}, year={2016} }","mla":"Habernal, Ivan, et al. “New Collection Announcement.” <i>Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval</i>, ACM, 2016, doi:<a href=\"https://doi.org/10.1145/2911451.2914682\">10.1145/2911451.2914682</a>.","apa":"Habernal, I., Sukhareva, M., Raiber, F., Shtok, A., Kurland, O., Ronen, H., Bar-Ilan, J., &#38; Gurevych, I. (2016). New Collection Announcement. <i>Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval</i>. <a href=\"https://doi.org/10.1145/2911451.2914682\">https://doi.org/10.1145/2911451.2914682</a>","ieee":"I. Habernal <i>et al.</i>, “New Collection Announcement,” 2016, doi: <a href=\"https://doi.org/10.1145/2911451.2914682\">10.1145/2911451.2914682</a>."},"type":"conference","department":[{"_id":"34"},{"_id":"820"}],"date_created":"2023-10-19T08:31:35Z"},{"user_id":"15504","doi":"10.18653/v1/p16-1150","_id":"48307","publisher":"Association for Computational Linguistics","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2023-10-19T12:07:44Z","author":[{"first_name":"Ivan","last_name":"Habernal","full_name":"Habernal, Ivan","id":"101881"},{"full_name":"Gurevych, Iryna","last_name":"Gurevych","first_name":"Iryna"}],"title":"Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM","status":"public","year":"2016","department":[{"_id":"34"},{"_id":"820"}],"type":"conference","date_created":"2023-10-19T08:31:11Z","citation":{"short":"I. Habernal, I. Gurevych, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, 2016.","chicago":"Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing? Analyzing and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.” In <i>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</i>. Association for Computational Linguistics, 2016. <a href=\"https://doi.org/10.18653/v1/p16-1150\">https://doi.org/10.18653/v1/p16-1150</a>.","apa":"Habernal, I., &#38; Gurevych, I. (2016). Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. <i>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</i>. <a href=\"https://doi.org/10.18653/v1/p16-1150\">https://doi.org/10.18653/v1/p16-1150</a>","ieee":"I. Habernal and I. Gurevych, “Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM,” 2016, doi: <a href=\"https://doi.org/10.18653/v1/p16-1150\">10.18653/v1/p16-1150</a>.","ama":"Habernal I, Gurevych I. Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM. In: <i>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</i>. Association for Computational Linguistics; 2016. doi:<a href=\"https://doi.org/10.18653/v1/p16-1150\">10.18653/v1/p16-1150</a>","bibtex":"@inproceedings{Habernal_Gurevych_2016, title={Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM}, DOI={<a href=\"https://doi.org/10.18653/v1/p16-1150\">10.18653/v1/p16-1150</a>}, booktitle={Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)}, publisher={Association for Computational Linguistics}, author={Habernal, Ivan and Gurevych, Iryna}, year={2016} }","mla":"Habernal, Ivan, and Iryna Gurevych. “Which Argument Is More Convincing? Analyzing and Predicting Convincingness of Web Arguments Using Bidirectional LSTM.” <i>Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)</i>, Association for Computational Linguistics, 2016, doi:<a href=\"https://doi.org/10.18653/v1/p16-1150\">10.18653/v1/p16-1150</a>."},"publication":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)"}]