Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 4th Workshop on Argument Mining |
| Herausgeber/-innen | Ivan Habernal, Iryna Gurevych, Kevin Ashley, Claire Cardie, Nancy Green, Diane Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern Walker |
| Erscheinungsort | Copenhagen |
| Seiten | 49-59 |
| Seitenumfang | 11 |
| Publikationsstatus | Veröffentlicht - Sept. 2017 |
| Extern publiziert | Ja |
| Veranstaltung | EMNLP 2017 4th Workshop on Argument Mining - Copenhagen, Dänemark Dauer: 8 Sept. 2017 → 8 Sept. 2017 |
Abstract
Computational argumentation is expected to play a critical role in the future of web search. To make this happen, many searchrelated 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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Informatik (insg.)
- Information systems
- Informatik (insg.)
- Angewandte Informatik
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Proceedings of the 4th Workshop on Argument Mining. Hrsg. / Ivan Habernal; Iryna Gurevych; Kevin Ashley; Claire Cardie; Nancy Green; Diane Litman; Georgios Petasis; Chris Reed; Noam Slonim; Vern Walker. Copenhagen, 2017. S. 49-59.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Building an Argument Search Engine for the Web
AU - Wachsmuth, Henning
AU - Potthast, Martin
AU - Al-Khatib, Khalid
AU - Ajjour, Yamen
AU - Puschmann, Jana
AU - Qu, Jiani
AU - Dorsch, Jonas
AU - Morari, Viorel
AU - Bevendorff, Janek
AU - Stein, Benno
PY - 2017/9
Y1 - 2017/9
N2 - Computational argumentation is expected to play a critical role in the future of web search. To make this happen, many searchrelated 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.
AB - Computational argumentation is expected to play a critical role in the future of web search. To make this happen, many searchrelated 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.
UR - http://www.scopus.com/inward/record.url?scp=85072869780&partnerID=8YFLogxK
U2 - 10.18653/v1/W17-5106
DO - 10.18653/v1/W17-5106
M3 - Conference contribution
AN - SCOPUS:85072869780
SN - 9781945626845
SP - 49
EP - 59
BT - Proceedings of the 4th Workshop on Argument Mining
A2 - Habernal, Ivan
A2 - Gurevych, Iryna
A2 - Ashley, Kevin
A2 - Cardie, Claire
A2 - Green, Nancy
A2 - Litman, Diane
A2 - Petasis, Georgios
A2 - Reed, Chris
A2 - Slonim, Noam
A2 - Walker, Vern
CY - Copenhagen
T2 - EMNLP 2017 4th Workshop on Argument Mining, ArgMining 2017
Y2 - 8 September 2017 through 8 September 2017
ER -