Naslov
Identifying Prominent Arguments in Online Debates using Semantic Textual Similarity

Autori
Boltužić, Filip ; Šnajder, Jan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 2nd Workshop on Argumentation Mining (ArgMining 2015) / - Denver (CO) : Association for Computational Linguistics (ACL), 2015, 110-115

Skup
2nd Workshop on Argumentation Mining (ArgMining 2015)

Mjesto i datum
Denver (CO), Sjedinjene Američke Države, 04.07.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Argumentation mining ; online debates ; semantic textual similarity ; hierarchical clustering

Sažetak
Online debates sparkle argumentative discussions from which generally accepted arguments often emerge. We consider the task of unsupervised identification of prominent argument in online debates. As a first step, in this paper we perform a cluster analysis using semantic textual similarity to detect similar arguments. We perform a preliminary cluster evaluation and error analysis based on cluster-class matching against a manually labeled dataset.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA