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Schäfer and E. Hüllermeier, “Plackett-Luce networks for dyad ranking,” in <i>In Workshop LWDA “Lernen, Wissen, Daten, Analysen,”</i> 2016.","ama":"Schäfer D, Hüllermeier E. Plackett-Luce networks for dyad ranking. In: <i>In Workshop LWDA “Lernen, Wissen, Daten, Analysen.”</i> ; 2016.","apa":"Schäfer, D., &#38; Hüllermeier, E. (2016). Plackett-Luce networks for dyad ranking. In <i>In Workshop LWDA “Lernen, Wissen, Daten, Analysen.”</i>","bibtex":"@inproceedings{Schäfer_Hüllermeier_2016, title={Plackett-Luce networks for dyad ranking}, booktitle={In Workshop LWDA “Lernen, Wissen, Daten, Analysen”}, author={Schäfer, Dirk and Hüllermeier, Eyke}, year={2016} }","mla":"Schäfer, Dirk, and Eyke Hüllermeier. “Plackett-Luce Networks for Dyad Ranking.” <i>In Workshop LWDA “Lernen, Wissen, Daten, Analysen,”</i> 2016.","short":"D. Schäfer, E. Hüllermeier, in: In Workshop LWDA “Lernen, Wissen, Daten, Analysen,” 2016."}},{"intvolume":"       285","citation":{"short":"G.A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F. van Harmelen, eds., ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence, IOS Press, The Hague, The Netherlands, 2016.","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} }","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>. Vol. 285, IOS Press, 2016.","apa":"Kaminka, G. A., Fox, M., Bouquet, P., Hüllermeier, E., Dignum, V., Dignum, F., &#38; van Harmelen, F. (Eds.). (2016). <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.","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.","ieee":"G. A. Kaminka <i>et al.</i>, 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.","chicago":"Kaminka, G.A., M. Fox, P. Bouquet, Eyke Hüllermeier, V. Dignum, F. Dignum, and F. van Harmelen, eds. <i>ECAI 2016, 22nd European Conference on Artificial Intelligence, Including PAIS 2016, Prestigious Applications of Artificial Intelligence</i>. Vol. 285. Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands. The Hague, The Netherlands: IOS Press, 2016."},"place":"The Hague, The Netherlands","year":"2016","volume":285,"date_created":"2019-06-18T15:07:10Z","publisher":"IOS Press","date_updated":"2022-01-06T06:50:33Z","title":"ECAI 2016, 22nd European Conference on Artificial Intelligence, including PAIS 2016, Prestigious Applications of Artificial Intelligence","type":"conference_editor","status":"public","editor":[{"last_name":"Kaminka","full_name":"Kaminka, G.A.","first_name":"G.A."},{"full_name":"Fox, M.","last_name":"Fox","first_name":"M."},{"full_name":"Bouquet, P.","last_name":"Bouquet","first_name":"P."},{"first_name":"Eyke","last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke"},{"full_name":"Dignum, V.","last_name":"Dignum","first_name":"V."},{"first_name":"F.","last_name":"Dignum","full_name":"Dignum, F."},{"full_name":"van Harmelen, F.","last_name":"van Harmelen","first_name":"F."}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"user_id":"49109","series_title":"Frontiers in Artificial Intelligence and Applications, The Hague, The Netherlands","_id":"10263","language":[{"iso":"eng"}]},{"issue":"6","year":"2016","citation":{"ama":"Leinweber M, Fober T, Strickert M, et al. CavSimBase: A database for large scale comparison of protein binding sites. <i>IEEE Transactions on Knowledge and Data Engineering</i>. 2016;28(6):1423-1434.","ieee":"M. Leinweber <i>et al.</i>, “CavSimBase: A database for large scale comparison of protein binding sites,” <i>IEEE Transactions on Knowledge and Data Engineering</i>, vol. 28, no. 6, pp. 1423–1434, 2016.","chicago":"Leinweber, M., T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, and Eyke Hüllermeier. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” <i>IEEE Transactions on Knowledge and Data Engineering</i> 28, no. 6 (2016): 1423–34.","mla":"Leinweber, M., et al. “CavSimBase: A Database for Large Scale Comparison of Protein Binding Sites.” <i>IEEE Transactions on Knowledge and Data Engineering</i>, vol. 28, no. 6, 2016, pp. 1423–34.","short":"M. Leinweber, T. Fober, M. Strickert, L. Baumgärtner, G. Klebe, B. Freisleben, E. Hüllermeier, IEEE Transactions on Knowledge and Data Engineering 28 (2016) 1423–1434.","bibtex":"@article{Leinweber_Fober_Strickert_Baumgärtner_Klebe_Freisleben_Hüllermeier_2016, title={CavSimBase: A database for large scale comparison of protein binding sites}, volume={28}, number={6}, journal={IEEE Transactions on Knowledge and Data Engineering}, author={Leinweber, M. and Fober, T. and Strickert, M. and Baumgärtner, L. and Klebe, G. and Freisleben, B. and Hüllermeier, Eyke}, year={2016}, pages={1423–1434} }","apa":"Leinweber, M., Fober, T., Strickert, M., Baumgärtner, L., Klebe, G., Freisleben, B., &#38; Hüllermeier, E. (2016). CavSimBase: A database for large scale comparison of protein binding sites. <i>IEEE Transactions on Knowledge and Data Engineering</i>, <i>28</i>(6), 1423–1434."},"intvolume":"        28","page":"1423-1434","date_updated":"2022-01-06T06:50:33Z","author":[{"last_name":"Leinweber","full_name":"Leinweber, M.","first_name":"M."},{"last_name":"Fober","full_name":"Fober, T.","first_name":"T."},{"first_name":"M.","full_name":"Strickert, M.","last_name":"Strickert"},{"first_name":"L.","full_name":"Baumgärtner, L.","last_name":"Baumgärtner"},{"first_name":"G.","full_name":"Klebe, G.","last_name":"Klebe"},{"last_name":"Freisleben","full_name":"Freisleben, B.","first_name":"B."},{"full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier","first_name":"Eyke"}],"date_created":"2019-06-18T15:29:05Z","volume":28,"title":"CavSimBase: A database for large scale comparison of protein binding sites","type":"journal_article","publication":"IEEE Transactions on Knowledge and Data Engineering","status":"public","_id":"10264","user_id":"49109","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"language":[{"iso":"eng"}]},{"intvolume":"         9","citation":{"ieee":"M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, and D. Heider, “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>, vol. 9, no. 10, 2016.","chicago":"Riemenschneider, M., Robin Senge, U. Neumann, Eyke Hüllermeier, and D. Heider. “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> 9, no. 10 (2016).","ama":"Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D. 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).","mla":"Riemenschneider, M., et al. “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>, vol. 9, no. 10, 2016.","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} }","short":"M. Riemenschneider, R. Senge, U. Neumann, E. Hüllermeier, D. Heider, BioData Mining 9 (2016).","apa":"Riemenschneider, M., Senge, R., Neumann, U., Hüllermeier, E., &#38; Heider, D. (2016). 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>, <i>9</i>(10)."},"year":"2016","issue":"10","title":"Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification","volume":9,"date_created":"2019-06-18T15:37:19Z","author":[{"first_name":"M.","last_name":"Riemenschneider","full_name":"Riemenschneider, M."},{"last_name":"Senge","full_name":"Senge, Robin","first_name":"Robin"},{"last_name":"Neumann","full_name":"Neumann, U.","first_name":"U."},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"},{"full_name":"Heider, D.","last_name":"Heider","first_name":"D."}],"date_updated":"2022-01-06T06:50:33Z","status":"public","publication":"BioData Mining","type":"journal_article","language":[{"iso":"eng"}],"department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"user_id":"49109","_id":"10266"},{"_id":"1373","user_id":"15572","department":[{"_id":"75"}],"type":"journal_article","publication":"Sustainable Computing: Informatics and Systems","status":"public","publisher":"Elsevier BV","date_updated":"2022-01-06T06:51:43Z","author":[{"last_name":"Herlich","full_name":"Herlich, Matthias","first_name":"Matthias"},{"first_name":"Nico","full_name":"Bredenbals, Nico","last_name":"Bredenbals"},{"first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger","id":"126"}],"date_created":"2018-03-19T13:29:17Z","volume":10,"title":"Delayed (de-)activation in servers with a sleep mode","doi":"10.1016/j.suscom.2016.04.002","publication_status":"published","publication_identifier":{"issn":["2210-5379"]},"year":"2016","citation":{"short":"M. Herlich, N. Bredenbals, H. Karl, Sustainable Computing: Informatics and Systems 10 (2016) 48–55.","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} }","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>.","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.","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>.","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>"},"intvolume":"        10","page":"48-55"},{"type":"conference","status":"public","department":[{"_id":"66"}],"user_id":"11871","_id":"137","project":[{"_id":"1","name":"SFB 901"},{"_id":"17","name":"SFB 901 - Subprojekt C5"},{"_id":"4","name":"SFB 901 - Project Area C"}],"file_date_updated":"2018-03-21T13:01:43Z","has_accepted_license":"1","page":"327--336","citation":{"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>.","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>.","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>.","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>"},"author":[{"first_name":"Stefan","full_name":"Heindorf, Stefan","id":"11871","orcid":"0000-0002-4525-6865","last_name":"Heindorf"},{"last_name":"Potthast","full_name":"Potthast, Matthias","first_name":"Matthias"},{"first_name":"Benno","full_name":"Stein, Benno","last_name":"Stein"},{"first_name":"Gregor","last_name":"Engels","full_name":"Engels, Gregor","id":"107"}],"date_updated":"2022-10-17T11:31:41Z","oa":"1","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"}],"publication":"Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)","file":[{"creator":"florida","date_created":"2018-03-21T13:01:43Z","date_updated":"2018-03-21T13:01:43Z","file_name":"137-p327-heindorf.pdf","access_level":"closed","file_id":"1561","file_size":1842753,"content_type":"application/pdf","relation":"main_file","success":1}],"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)."}],"language":[{"iso":"eng"}],"ddc":["040"],"year":"2016","date_created":"2017-10-17T12:41:18Z","title":"Vandalism Detection in Wikidata"},{"_id":"2978","user_id":"25078","department":[{"_id":"64"}],"status":"public","type":"book_chapter","publication":"Advances in Knowledge Discovery and Data Mining","title":"Adaptive Seeding for Gaussian Mixture Models","doi":"10.1007/978-3-319-31750-2_24","date_updated":"2023-01-10T13:49:50Z","publisher":"Springer International Publishing","date_created":"2018-06-05T07:31:39Z","author":[{"first_name":"Johannes","last_name":"Blömer","id":"23","full_name":"Blömer, Johannes"},{"first_name":"Kathrin","last_name":"Bujna","full_name":"Bujna, Kathrin"}],"place":"Cham","year":"2016","citation":{"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.","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>.","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>","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>","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} }","short":"J. Blömer, K. Bujna, in: Advances in Knowledge Discovery and Data Mining, Springer International Publishing, Cham, 2016, pp. 296–308.","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>."},"page":"296-308","publication_status":"published","publication_identifier":{"isbn":["9783319317496","9783319317502"],"issn":["0302-9743","1611-3349"]}},{"intvolume":"        43","page":"125-179","citation":{"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>.","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>.","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>","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>","short":"I. Habernal, I. Gurevych, Computational Linguistics 43 (2016) 125–179.","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} }","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>."},"year":"2016","issue":"1","publication_identifier":{"issn":["0891-2017","1530-9312"]},"publication_status":"published","doi":"10.1162/coli_a_00276","title":"Argumentation Mining in User-Generated Web Discourse","volume":43,"author":[{"first_name":"Ivan","id":"101881","full_name":"Habernal, Ivan","last_name":"Habernal"},{"first_name":"Iryna","last_name":"Gurevych","full_name":"Gurevych, Iryna"}],"date_created":"2023-10-19T08:30:44Z","date_updated":"2023-10-19T12:08:00Z","publisher":"MIT Press","status":"public","abstract":[{"lang":"eng","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>"}],"publication":"Computational Linguistics","type":"journal_article","language":[{"iso":"eng"}],"keyword":["Artificial Intelligence","Computer Science Applications","Linguistics and Language","Language and Linguistics"],"department":[{"_id":"34"},{"_id":"820"}],"user_id":"15504","_id":"48306"},{"citation":{"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>.","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.","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>","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>","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>.","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>."},"year":"2016","publication_status":"published","doi":"10.1145/2911451.2914682","title":"New Collection Announcement","date_created":"2023-10-19T08:31:35Z","author":[{"first_name":"Ivan","last_name":"Habernal","id":"101881","full_name":"Habernal, Ivan"},{"last_name":"Sukhareva","full_name":"Sukhareva, Maria","first_name":"Maria"},{"first_name":"Fiana","last_name":"Raiber","full_name":"Raiber, Fiana"},{"full_name":"Shtok, Anna","last_name":"Shtok","first_name":"Anna"},{"full_name":"Kurland, Oren","last_name":"Kurland","first_name":"Oren"},{"full_name":"Ronen, Hadar","last_name":"Ronen","first_name":"Hadar"},{"first_name":"Judit","full_name":"Bar-Ilan, Judit","last_name":"Bar-Ilan"},{"first_name":"Iryna","last_name":"Gurevych","full_name":"Gurevych, Iryna"}],"date_updated":"2023-10-19T12:07:25Z","publisher":"ACM","status":"public","type":"conference","publication":"Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval","alternative_title":["Focused Retrieval Over the Web"],"language":[{"iso":"eng"}],"user_id":"15504","department":[{"_id":"34"},{"_id":"820"}],"_id":"48308"},{"date_created":"2023-10-19T08:31:11Z","author":[{"first_name":"Ivan","full_name":"Habernal, Ivan","id":"101881","last_name":"Habernal"},{"first_name":"Iryna","last_name":"Gurevych","full_name":"Gurevych, Iryna"}],"publisher":"Association for Computational Linguistics","date_updated":"2023-10-19T12:07:44Z","doi":"10.18653/v1/p16-1150","title":"Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM","publication_status":"published","citation":{"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>","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>.","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.","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>","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>.","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>."},"year":"2016","user_id":"15504","department":[{"_id":"34"},{"_id":"820"}],"_id":"48307","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","status":"public"},{"year":"2016","date_created":"2023-08-04T15:10:09Z","publisher":"Springer International Publishing","title":"MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework","publication":"LION 2016: Learning and Intelligent Optimization","abstract":[{"text":"Automated algorithm configuration procedures play an increasingly important role in the development and application of algorithms for a wide range of computationally challenging problems. Until very recently, these configuration procedures were limited to optimising a single performance objective, such as the running time or solution quality achieved by the algorithm being configured. However, in many applications there is more than one performance objective of interest. This gives rise to the multi-objective automatic algorithm configuration problem, which involves finding a Pareto set of configurations of a given target algorithm that characterises trade-offs between multiple performance objectives. In this work, we introduce MO-ParamILS, a multi-objective extension of the state-of-the-art single-objective algorithm configuration framework ParamILS, and demonstrate that it produces good results on several challenging bi-objective algorithm configuration scenarios compared to a base-line obtained from using a state-of-the-art single-objective algorithm configurator.","lang":"eng"}],"language":[{"iso":"eng"}],"citation":{"mla":"Blot, A., et al. “MO-ParamILS: A Multi-Objective Automatic Algorithm Configuration Framework.” <i>LION 2016: Learning and Intelligent Optimization</i>, edited by Vanschooren et al. Joaquin, vol. 10079, Springer International Publishing, 2016, pp. 32–47, doi:<a href=\"https://doi.org/10.1007/978-3-319-50349-3_3\">10.1007/978-3-319-50349-3_3</a>.","bibtex":"@inproceedings{Blot_Hoos_Jourdan_Marmion_Trautmann_2016, place={Cham}, series={LNTCS}, title={MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework}, volume={10079}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-50349-3_3\">10.1007/978-3-319-50349-3_3</a>}, booktitle={LION 2016: Learning and Intelligent Optimization}, publisher={Springer International Publishing}, author={Blot, A and Hoos, H and Jourdan, L and Marmion, M and Trautmann, Heike}, editor={et al. Joaquin, Vanschooren}, year={2016}, pages={32–47}, collection={LNTCS} }","short":"A. Blot, H. Hoos, L. Jourdan, M. Marmion, H. Trautmann, in: V. et al. Joaquin (Ed.), LION 2016: Learning and Intelligent Optimization, Springer International Publishing, Cham, 2016, pp. 32–47.","apa":"Blot, A., Hoos, H., Jourdan, L., Marmion, M., &#38; Trautmann, H. (2016). MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. In V. et al. Joaquin (Ed.), <i>LION 2016: Learning and Intelligent Optimization</i> (Vol. 10079, pp. 32–47). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-319-50349-3_3\">https://doi.org/10.1007/978-3-319-50349-3_3</a>","ieee":"A. Blot, H. Hoos, L. Jourdan, M. Marmion, and H. Trautmann, “MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework,” in <i>LION 2016: Learning and Intelligent Optimization</i>, 2016, vol. 10079, pp. 32–47, doi: <a href=\"https://doi.org/10.1007/978-3-319-50349-3_3\">10.1007/978-3-319-50349-3_3</a>.","chicago":"Blot, A, H Hoos, L Jourdan, M Marmion, and Heike Trautmann. “MO-ParamILS: A Multi-Objective Automatic Algorithm Configuration Framework.” In <i>LION 2016: Learning and Intelligent Optimization</i>, edited by Vanschooren et al. Joaquin, 10079:32–47. LNTCS. Cham: Springer International Publishing, 2016. <a href=\"https://doi.org/10.1007/978-3-319-50349-3_3\">https://doi.org/10.1007/978-3-319-50349-3_3</a>.","ama":"Blot A, Hoos H, Jourdan L, Marmion M, Trautmann H. MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. In: et al. Joaquin V, ed. <i>LION 2016: Learning and Intelligent Optimization</i>. Vol 10079. LNTCS. Springer International Publishing; 2016:32–47. doi:<a href=\"https://doi.org/10.1007/978-3-319-50349-3_3\">10.1007/978-3-319-50349-3_3</a>"},"intvolume":"     10079","page":"32–47","place":"Cham","author":[{"full_name":"Blot, A","last_name":"Blot","first_name":"A"},{"last_name":"Hoos","full_name":"Hoos, H","first_name":"H"},{"last_name":"Jourdan","full_name":"Jourdan, L","first_name":"L"},{"first_name":"M","last_name":"Marmion","full_name":"Marmion, M"},{"first_name":"Heike","id":"100740","full_name":"Trautmann, Heike","orcid":"0000-0002-9788-8282","last_name":"Trautmann"}],"volume":10079,"date_updated":"2023-10-16T13:37:50Z","doi":"10.1007/978-3-319-50349-3_3","type":"conference","status":"public","editor":[{"full_name":"et al. Joaquin, Vanschooren","last_name":"et al. Joaquin","first_name":"Vanschooren"}],"user_id":"15504","series_title":"LNTCS","department":[{"_id":"34"},{"_id":"819"}],"_id":"46364"},{"doi":"10.1007/978-3-319-31153-1_4","title":"On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front","author":[{"first_name":"G","last_name":"Rudolph","full_name":"Rudolph, G"},{"last_name":"Schütze","full_name":"Schütze, O","first_name":"O"},{"first_name":"Heike","full_name":"Trautmann, Heike","id":"100740","last_name":"Trautmann","orcid":"0000-0002-9788-8282"}],"date_created":"2023-08-04T15:09:14Z","date_updated":"2023-10-16T13:37:33Z","publisher":"Springer International Publishing","page":"42–55","citation":{"mla":"Rudolph, G., et al. “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.” <i>Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II</i>, edited by G Squillero and P Burelli, Springer International Publishing, 2016, pp. 42–55, doi:<a href=\"https://doi.org/10.1007/978-3-319-31153-1_4\">10.1007/978-3-319-31153-1_4</a>.","short":"G. Rudolph, O. Schütze, H. Trautmann, in: G. Squillero, P. Burelli (Eds.), Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II, Springer International Publishing, Cham, 2016, pp. 42–55.","bibtex":"@inbook{Rudolph_Schütze_Trautmann_2016, place={Cham}, title={On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-31153-1_4\">10.1007/978-3-319-31153-1_4</a>}, booktitle={Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II}, publisher={Springer International Publishing}, author={Rudolph, G and Schütze, O and Trautmann, Heike}, editor={Squillero, G and Burelli, P}, year={2016}, pages={42–55} }","apa":"Rudolph, G., Schütze, O., &#38; Trautmann, H. (2016). On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. In G. Squillero &#38; P. Burelli (Eds.), <i>Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II</i> (pp. 42–55). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-319-31153-1_4\">https://doi.org/10.1007/978-3-319-31153-1_4</a>","ama":"Rudolph G, Schütze O, Trautmann H. On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. In: Squillero G, Burelli P, eds. <i>Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II</i>. Springer International Publishing; 2016:42–55. doi:<a href=\"https://doi.org/10.1007/978-3-319-31153-1_4\">10.1007/978-3-319-31153-1_4</a>","chicago":"Rudolph, G, O Schütze, and Heike Trautmann. “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front.” In <i>Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II</i>, edited by G Squillero and P Burelli, 42–55. Cham: Springer International Publishing, 2016. <a href=\"https://doi.org/10.1007/978-3-319-31153-1_4\">https://doi.org/10.1007/978-3-319-31153-1_4</a>.","ieee":"G. Rudolph, O. Schütze, and H. Trautmann, “On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front,” in <i>Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II</i>, G. Squillero and P. Burelli, Eds. Cham: Springer International Publishing, 2016, pp. 42–55."},"year":"2016","place":"Cham","publication_identifier":{"isbn":["978-3-319-31153-1"]},"language":[{"iso":"eng"}],"department":[{"_id":"34"},{"_id":"819"}],"user_id":"15504","_id":"46363","status":"public","editor":[{"first_name":"G","full_name":"Squillero, G","last_name":"Squillero"},{"full_name":"Burelli, P","last_name":"Burelli","first_name":"P"}],"abstract":[{"text":"The averaged Hausdorff distance has been proposed as an indicator for assessing the quality of finitely sized approximations of the Pareto front of a multiobjective problem. Since many set-based, iterative optimization algorithms store their currently best approximation in an internal archive these approximations are also termed archives. In case of two objectives and continuous variables it is known that the best approximations in terms of averaged Hausdorff distance are subsets of the Pareto front if it is concave. If it is linear or circularly concave the points of the best approximation are equally spaced.\r\n\r\nHere, it is proven that the optimal averaged Hausdorff approximation and the Pareto front have an empty intersection if the Pareto front is circularly convex. But the points of the best approximation are equally spaced and they rapidly approach the Pareto front for increasing size of the approximation.","lang":"eng"}],"publication":"Applications of Evolutionary Computation: 19$^th$ European Conference, EvoApplications 2016, Porto, Portugal, March 30 — April 1, 2016, Proceedings, Part II","type":"book_chapter"}]