Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Advances in Information Retrieval |
| Untertitel | 42nd European Conference on IR Research, ECIR 2020 |
| Herausgeber/-innen | Joemon M. Jose, Emine Yilmaz, João Magalhães, Flávio Martins, Pablo Castells, Nicola Ferro, Mário J. Silva |
| Seiten | 517-523 |
| Seitenumfang | 7 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Extern publiziert | Ja |
| Veranstaltung | 42nd European Conference on IR Research, ECIR 2020 - Lisbon, Portugal Dauer: 14 Apr. 2020 → 17 Apr. 2020 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 12036 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
Technologies for argument mining and argumentation processing are maturing continuously, giving rise to the idea of retrieving arguments in search scenarios. We introduce Touché, the first lab on Argument Retrieval featuring two subtasks: (1) the retrieval of arguments from a focused debate collection to support argumentative conversations, and (2) the retrieval of arguments from a generic web crawl to answer comparative questions with argumentative results. The goal of this lab is to perform an evaluation of various strategies to retrieve argumentative information from the web content. In this paper, we describe the setting of each subtask: the motivation, the data, and the evaluation methodology.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020. Hrsg. / Joemon M. Jose; Emine Yilmaz; João Magalhães; Flávio Martins; Pablo Castells; Nicola Ferro; Mário J. Silva. 2020. S. 517-523 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12036 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Touché
T2 - 42nd European Conference on IR Research, ECIR 2020
AU - Bondarenko, Alexander
AU - Hagen, Matthias
AU - Potthast, Martin
AU - Wachsmuth, Henning
AU - Beloucif, Meriem
AU - Biemann, Chris
AU - Panchenko, Alexander
AU - Stein, Benno
N1 - Funding Information: Acknowledgments. This work has been partially supported by the DFG through the project “ACQuA: Answering Comparative Questions with Arguments” (grants BI 1544/7-1 and HA 5851/2-1) as part of the priority program “RATIO: Robust Argumentation Machines” (SPP 1999).
PY - 2020
Y1 - 2020
N2 - Technologies for argument mining and argumentation processing are maturing continuously, giving rise to the idea of retrieving arguments in search scenarios. We introduce Touché, the first lab on Argument Retrieval featuring two subtasks: (1) the retrieval of arguments from a focused debate collection to support argumentative conversations, and (2) the retrieval of arguments from a generic web crawl to answer comparative questions with argumentative results. The goal of this lab is to perform an evaluation of various strategies to retrieve argumentative information from the web content. In this paper, we describe the setting of each subtask: the motivation, the data, and the evaluation methodology.
AB - Technologies for argument mining and argumentation processing are maturing continuously, giving rise to the idea of retrieving arguments in search scenarios. We introduce Touché, the first lab on Argument Retrieval featuring two subtasks: (1) the retrieval of arguments from a focused debate collection to support argumentative conversations, and (2) the retrieval of arguments from a generic web crawl to answer comparative questions with argumentative results. The goal of this lab is to perform an evaluation of various strategies to retrieve argumentative information from the web content. In this paper, we describe the setting of each subtask: the motivation, the data, and the evaluation methodology.
UR - http://www.scopus.com/inward/record.url?scp=85084176977&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45442-5_67
DO - 10.1007/978-3-030-45442-5_67
M3 - Conference contribution
AN - SCOPUS:85084176977
SN - 9783030454418
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 517
EP - 523
BT - Advances in Information Retrieval
A2 - Jose, Joemon M.
A2 - Yilmaz, Emine
A2 - Magalhães, João
A2 - Martins, Flávio
A2 - Castells, Pablo
A2 - Ferro, Nicola
A2 - Silva, Mário J.
Y2 - 14 April 2020 through 17 April 2020
ER -