Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yamen Ajjour"'
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Autor:
Alexander Bondarenko, Yamen Ajjour, Valentin Dittmar, Niklas Homann, Pavel Braslavski, Matthias Hagen
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Autor:
Meriem Beloucif, Alexander Bondarenko, Benno Stein, Martin Potthast, Matthias Hagen, Alexander Panchenko, Yamen Ajjour, Maik Fröbe, Chris Biemann, Henning Wachsmuth, Lukas Gienapp
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030722395
CLEF (Working Notes)
CLEF (Working Notes)
Technologies for argument mining and argumentation analysis are maturing rapidly, so that, as a result, the retrieval of arguments in search scenarios becomes a feasible objective. For the second time, we organize the Touche lab on argument retrieval
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ccc7a43264b101f9eb6441b30bdc998
https://doi.org/10.1007/978-3-030-72240-1_67
https://doi.org/10.1007/978-3-030-72240-1_67
Autor:
Alexander Bondarenko, Lukas Gienapp, Maik Fröbe, Meriem Beloucif, Yamen Ajjour, Alexander Panchenko, Chris Biemann, Benno Stein, Henning Wachsmuth, Martin Potthast, Matthias Hagen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030852504
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cef8e4635f8a22c19d80112393feab59
https://doi.org/10.1007/978-3-030-85251-1_28
https://doi.org/10.1007/978-3-030-85251-1_28
Publikováno v:
Proceedings of the 8th Workshop on Argument Mining.
Autor:
Alexander Panchenko, Maik Fröbe, Alexander Bondarenko, Chris Biemann, Yamen Ajjour, Henning Wachsmuth, Martin Potthast, Meriem Beloucif, Lukas Gienapp, Matthias Hagen, Benno Stein
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030582180
CLEF (Working Notes)
CLEF (Working Notes)
This paper is a condensed report on Touche: 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 f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a086e38b25b4560ac36be5e1bb09e9ec
https://doi.org/10.1007/978-3-030-58219-7_26
https://doi.org/10.1007/978-3-030-58219-7_26
Publikováno v:
EMNLP/IJCNLP (1)
In argumentation, framing is used to emphasize a specific aspect of a controversial topic while concealing others. When talking about legalizing drugs, for instance, its economical aspect may be emphasized. In general, we call a set of arguments that
Autor:
Benno Stein, Johannes Kiesel, Yamen Ajjour, Matthias Hagen, Martin Potthast, Henning Wachsmuth
Publikováno v:
KI 2019: Advances in Artificial Intelligence ISBN: 9783030301781
KI
KI
Argument search is the study of search engine technology that can retrieve arguments for potentially controversial topics or claims upon user request. The design of an argument search engine is tied to its underlying argument acquisition paradigm. Mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ea21d78bc7b6bd74a35a72ca7444e2d
https://doi.org/10.1007/978-3-030-30179-8_4
https://doi.org/10.1007/978-3-030-30179-8_4
Autor:
Henning Wachsmuth, Yamen Ajjour, Fan Fan, Bernd Fröhlich, Dora Kiesel, Patrick Riehmann, Rosemary Adejoh, Benno Stein, Giuliano Castiglia
Publikováno v:
EMNLP (Demonstration)
In times of fake news and alternative facts, pro and con arguments on controversial topics are of increasing importance. Recently, we presented args.me as the first search engine for arguments on the web. In its initial version, args.me ranked argume
Autor:
Jiani Qu, Khalid Al Khatib, Jonas Dorsch, Yamen Ajjour, Janek Bevendorff, Viorel Morari, Jana Puschmann, Martin Potthast, Benno Stein, Henning Wachsmuth
Publikováno v:
ArgMining@EMNLP
Computational argumentation is expected to play a critical role in the future of web search. To make this happen, many search-related questions must be revisited, such as how people query for arguments, how to mine arguments from the web, or how to r