@inproceedings{wachsmuth-etal-2017-building,
title = "Building an Argument Search Engine for the Web",
author = "Wachsmuth, Henning and
Potthast, Martin and
Al-Khatib, Khalid and
Ajjour, Yamen and
Puschmann, Jana and
Qu, Jiani and
Dorsch, Jonas and
Morari, Viorel and
Bevendorff, Janek and
Stein, Benno",
editor = "Habernal, Ivan and
Gurevych, Iryna and
Ashley, Kevin and
Cardie, Claire and
Green, Nancy and
Litman, Diane and
Petasis, Georgios and
Reed, Chris and
Slonim, Noam and
Walker, Vern",
booktitle = "Proceedings of the 4th Workshop on Argument Mining",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5106",
doi = "10.18653/v1/W17-5106",
pages = "49--59",
abstract = "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 rank them. In this paper, we develop an argument search framework for studying these and further questions. The framework allows for the composition of approaches to acquiring, mining, assessing, indexing, querying, retrieving, ranking, and presenting arguments while relying on standard infrastructure and interfaces. Based on the framework, we build a prototype search engine, called args, that relies on an initial, freely accessible index of nearly 300k arguments crawled from reliable web resources. The framework and the argument search engine are intended as an environment for collaborative research on computational argumentation and its practical evaluation.",
}
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%0 Conference Proceedings
%T Building an Argument Search Engine for the Web
%A Wachsmuth, Henning
%A Potthast, Martin
%A Al-Khatib, Khalid
%A Ajjour, Yamen
%A Puschmann, Jana
%A Qu, Jiani
%A Dorsch, Jonas
%A Morari, Viorel
%A Bevendorff, Janek
%A Stein, Benno
%Y Habernal, Ivan
%Y Gurevych, Iryna
%Y Ashley, Kevin
%Y Cardie, Claire
%Y Green, Nancy
%Y Litman, Diane
%Y Petasis, Georgios
%Y Reed, Chris
%Y Slonim, Noam
%Y Walker, Vern
%S Proceedings of the 4th Workshop on Argument Mining
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F wachsmuth-etal-2017-building
%X 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 rank them. In this paper, we develop an argument search framework for studying these and further questions. The framework allows for the composition of approaches to acquiring, mining, assessing, indexing, querying, retrieving, ranking, and presenting arguments while relying on standard infrastructure and interfaces. Based on the framework, we build a prototype search engine, called args, that relies on an initial, freely accessible index of nearly 300k arguments crawled from reliable web resources. The framework and the argument search engine are intended as an environment for collaborative research on computational argumentation and its practical evaluation.
%R 10.18653/v1/W17-5106
%U https://aclanthology.org/W17-5106
%U https://doi.org/10.18653/v1/W17-5106
%P 49-59
Markdown (Informal)
[Building an Argument Search Engine for the Web](https://aclanthology.org/W17-5106) (Wachsmuth et al., ArgMining 2017)
ACL
- Henning Wachsmuth, Martin Potthast, Khalid Al-Khatib, Yamen Ajjour, Jana Puschmann, Jiani Qu, Jonas Dorsch, Viorel Morari, Janek Bevendorff, and Benno Stein. 2017. Building an Argument Search Engine for the Web. In Proceedings of the 4th Workshop on Argument Mining, pages 49–59, Copenhagen, Denmark. Association for Computational Linguistics.