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2020 | OriginalPaper | Chapter

Overview of Touché 2020: Argument Retrieval

Extended Abstract

Authors : Alexander Bondarenko, Maik Fröbe, Meriem Beloucif, Lukas Gienapp, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen

Published in: Experimental IR Meets Multilinguality, Multimodality, and Interaction

Publisher: Springer International Publishing

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Abstract

This paper is a condensed report on Touché: the first shared task on argument retrieval that was held at CLEF 2020. With the goal to create a collaborative platform for research in argument retrieval, we run two tasks: (1) supporting individuals in finding arguments on socially important topics and (2) supporting individuals with arguments on everyday personal decisions.

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previous chapter Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection

The name of the lab is inspired by the usage of the term “touché” as an exclamation “used to admit that someone has made a good point against you in an argument or discussion.” [https://dictionary.cambridge.org/dictionary/english/touche].

https://www.research.ibm.com/artificial-intelligence/project-debater/.

http://commoncrawl.org.

https://www.args.me/api-en.html.

https://webis.de/data/args-me-corpus.html.

https://pypi.org/project/trectools/.

https://lemurproject.org/clueweb12/.

https://www.chatnoir.eu/.

https://www.chatnoir.eu/doc/.

Also described on the lab website: https://touche.webis.de.

https://www.mywot.com/developers.

Ajjour, Y., Wachsmuth, H., Kiesel, J., Potthast, M., Hagen, M., Stein, B.: Data acquisition for argument search: the args.me corpus. In: Benzmüller, C., Stuckenschmidt, H. (eds.) KI 2019. LNCS (LNAI), vol. 11793, pp. 48–59. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30179-8_4CrossRef

Kennedy, G.A.: Aristotle On Rhetoric: A Theory of Civic Discourse. Oxford University Press, Oxford (2006)

Bar-Haim, R., et al.: From surrogacy to adoption; from bitcoin to cryptocurrency: debate topic expansion. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, pp. 977–990. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/p19-1094

Bevendorff, J., Stein, B., Hagen, M., Potthast, M.: Elastic ChatNoir: search engine for the ClueWeb and the common crawl. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds.) ECIR 2018. LNCS, vol. 10772, pp. 820–824. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-76941-7_83CrossRef

Bondarenko, A., et al.: Comparative web search questions. In: Proceedings of the 13th International Conference on Web Search and Data Mining, WSDM 2020, pp. 52–60. ACM (2020). https://doi.org/10.1145/3336191.3371848

Bondarenko, A., et al.: Overview of Touché 2020: conversational and comparative argument retrieval. In: Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum. CEUR Workshop Proceedings, CLEF and CEUR-WS.org (2020, to appear)

Bondarenko, A., et al.: Touché: first shared task on argument retrieval. In: Jose, J.M., et al. (eds.) ECIR 2020. LNCS, vol. 12036, pp. 517–523. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-45442-5_67CrossRef

Chernodub, A.N., et al.: TARGER: neural argument mining at your fingertips. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, pp. 195–200. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/p19-3031

Dumani, L., Neumann, P.J., Schenkel, R.: A framework for argument retrieval. In: Jose, J., et al. (eds.) ECIR 2020. LNCS, vol. 12035, pp. 431–445. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-45439-5_29CrossRef

10.

Gienapp, L., Stein, B., Hagen, M., Potthast, M.: Efficient pairwise annotation of argument quality. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, pp. 5772–5781. Association for Computational Linguistics (2020). https://www.aclweb.org/anthology/2020.acl-main.511/

11.

Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. 20(4), 422–446 (2002). http://doi.acm.org/10.1145/582415.582418CrossRef

12.

Jindal, N., Liu, B.: Identifying comparative sentences in text documents. In: Proceedings of the 29th Annual International Conference on Research and Development in Information Retrieval, SIGIR 2006, pp. 244–251. ACM (2006). https://doi.org/10.1145/1148170.1148215

13.

Jindal, N., Liu, B.: Mining comparative sentences and relations. In: Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI 2006, pp. 1331–1336. AAAI Press (2006). http://www.aaai.org/Library/AAAI/2006/aaai06-209.php

14.

Kessler, W., Kuhn, J.: A corpus of comparisons in product reviews. In: Proceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014, pp. 2242–2248. European Language Resources Association (ELRA) (2014). http://www.lrec-conf.org/proceedings/lrec2014/summaries/1001.html

15.

Levy, R., Bogin, B., Gretz, S., Aharonov, R., Slonim, N.: Towards an argumentative content search engine using weak supervision. In: Bender, E.M., Derczynski, L., Isabelle, P. (eds.) Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, pp. 2066–2081. Association for Computational Linguistics (2018). https://www.aclweb.org/anthology/C18-1176/

16.

Ma, N., Mazumder, S., Wang, H., Liu, B.: Entity-aware dependency-based deep graph attention network for comparative preference classification. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, pp. 5782–5788. Association for Computational Linguistics (2020). https://www.aclweb.org/anthology/2020.acl-main.512/

17.

Mass, Y., et al.: Word emphasis prediction for expressive text to speech. In: Proceedings of the 19th Annual Conference of the International Speech Communication Association, Interspeech 2018, pp. 2868–2872. ISCA (2018). https://doi.org/10.21437/Interspeech.2018-1159

18.

Nadamoto, A., Tanaka, K.: A Comparative Web Browser (CWB) for browsing and comparing web pages. In: Proceedings of the 12th International World Wide Web Conference, WWW 2003, pp. 727–735. ACM (2003). https://doi.org/10.1145/775152.775254

19.

Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: bringing order to the web (1998)

20.

Palotti, J.R.M., Scells, H., Zuccon, G.: TrecTools: an open-source Python library for information retrieval practitioners involved in TREC-like campaigns. In: Proceedings of the 42nd International Conference on Research and Development in Information Retrieval, SIGIR 2019, pp. 1325–1328. ACM (2019). https://doi.org/10.1145/3331184.3331399

21.

Panchenko, A., Bondarenko, A., Franzek, M., Hagen, M., Biemann, C.: Categorizing comparative sentences. In: Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, pp. 136–145. Association for Computational Linguistics (2019). https://doi.org/10.18653/v1/w19-4516

22.

Potthast, M., et al.: Argument search: assessing argument relevance. In: Proceedings of the 42nd International Conference on Research and Development in Information Retrieval, SIGIR 2019, pp. 1117–1120. ACM (2019). https://doi.org/10.1145/3331184.3331327

23.

Potthast, M., Gollub, T., Wiegmann, M., Stein, B.: TIRA integrated research architecture. Information Retrieval Evaluation in a Changing World. TIRS, vol. 41, pp. 123–160. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22948-1_5CrossRef

24.

Potthast, M., Hagen, M., Stein, B.: The dilemma of the direct answer. SIGIR Forum 54(1) (2020). http://sigir.org/forum/issues/june-2020/

25.

Schildwächter, M., Bondarenko, A., Zenker, J., Hagen, M., Biemann, C., Panchenko, A.: Answering comparative questions: better than ten-blue-links? In: Proceedings of the Conference on Human Information Interaction and Retrieval, CHIIR 2019, pp. 361–365. ACM (2019). https://doi.org/10.1145/3295750.3298916

26.

Stab, C., et al.: ArgumenText: searching for arguments in heterogeneous sources. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics, NAACL-HLT 2018, pp. 21–25. Association for Computational Linguistics (2018). https://doi.org/10.18653/v1/n18-5005

27.

Sun, J., Wang, X., Shen, D., Zeng, H., Chen, Z.: CWS: a comparative web search system. In: Proceedings of the 15th International Conference on World Wide Web, WWW 2006, pp. 467–476. ACM (2006). https://doi.org/10.1145/1135777.1135846

28.

Wachsmuth, H., et al.: Argumentation quality assessment: theory vs. practice. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, pp. 250–255. Association for Computational Linguistics (2017). https://doi.org/10.18653/v1/P17-2039

29.

Wachsmuth, H., et al.: Building an argument search engine for the web. In: Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, pp. 49–59. Association for Computational Linguistics (2017). https://doi.org/10.18653/v1/w17-5106

30.

Wachsmuth, H., Stein, B., Ajjour, Y.:“PageRank” for argument relevance. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, pp. 1117–1127. Association for Computational Linguistics (2017). https://doi.org/10.18653/v1/e17-1105

31.

Wachsmuth, H., Syed, S., Stein, B.: Retrieval of the best counterargument without prior topic knowledge. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, pp. 241–251. Association for Computational Linguistics (2018). https://www.aclweb.org/anthology/P18-1023/

Title: Overview of Touché 2020: Argument Retrieval
Authors: Alexander Bondarenko
Maik Fröbe
Meriem Beloucif
Lukas Gienapp
Yamen Ajjour
Alexander Panchenko
Chris Biemann
Benno Stein
Henning Wachsmuth
Martin Potthast
Matthias Hagen
Publisher: Springer International Publishing
Book: Experimental IR Meets Multilinguality, Multimodality, and Interaction
Print ISBN: 978-3-030-58218-0

Electronic ISBN: 978-3-030-58219-7

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-58219-7_26

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