Details
Originalsprache | Englisch |
---|---|
Titel des Sammelwerks | Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing |
Erscheinungsort | Copenhagen |
Seiten | 2379-2389 |
Seitenumfang | 11 |
Publikationsstatus | Veröffentlicht - Aug. 2017 |
Extern publiziert | Ja |
Veranstaltung | 2017 Conference on Empirical Methods in Natural Language Processing - Copenhagen, Dänemark Dauer: 7 Sept. 2017 → 11 Sept. 2017 |
Abstract
Several approaches have been proposed to model either the explicit sequential structure of an argumentative text or its implicit hierarchical structure. So far, the adequacy of these models of overall argumentation remains unclear. This paper asks what type of structure is actually important to tackle downstream tasks in computational argumentation. We analyze patterns in the overall argumentation of texts from three corpora. Then, we adapt the idea of positional tree kernels in order to capture sequential and hierarchical argumentative structure together for the first time. In systematic experiments for three text classification tasks, we find strong evidence for the impact of both types of structure. Our results suggest that either of them is necessary while their combination may be beneficial.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Informatik (insg.)
- Information systems
- Informatik (insg.)
- Theoretische Informatik und Mathematik
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Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. Copenhagen, 2017. S. 2379-2389.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - The Impact of Modeling Overall Argumentation with Tree Kernels
AU - Wachsmuth, Henning
AU - da San Martino, Giovanni
AU - Kiesel, Dora
AU - Stein, Benno
PY - 2017/8
Y1 - 2017/8
N2 - Several approaches have been proposed to model either the explicit sequential structure of an argumentative text or its implicit hierarchical structure. So far, the adequacy of these models of overall argumentation remains unclear. This paper asks what type of structure is actually important to tackle downstream tasks in computational argumentation. We analyze patterns in the overall argumentation of texts from three corpora. Then, we adapt the idea of positional tree kernels in order to capture sequential and hierarchical argumentative structure together for the first time. In systematic experiments for three text classification tasks, we find strong evidence for the impact of both types of structure. Our results suggest that either of them is necessary while their combination may be beneficial.
AB - Several approaches have been proposed to model either the explicit sequential structure of an argumentative text or its implicit hierarchical structure. So far, the adequacy of these models of overall argumentation remains unclear. This paper asks what type of structure is actually important to tackle downstream tasks in computational argumentation. We analyze patterns in the overall argumentation of texts from three corpora. Then, we adapt the idea of positional tree kernels in order to capture sequential and hierarchical argumentative structure together for the first time. In systematic experiments for three text classification tasks, we find strong evidence for the impact of both types of structure. Our results suggest that either of them is necessary while their combination may be beneficial.
UR - http://www.scopus.com/inward/record.url?scp=85061325760&partnerID=8YFLogxK
U2 - 10.18653/v1/d17-1253
DO - 10.18653/v1/d17-1253
M3 - Conference contribution
AN - SCOPUS:85061325760
SN - 9781945626838
SP - 2379
EP - 2389
BT - Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
CY - Copenhagen
T2 - 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017
Y2 - 7 September 2017 through 11 September 2017
ER -