The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Santus E, Gladkova A, Evert S, Lenci A
Publishing place: Osaka, Japan
Publication year: 2016
Conference Proceedings Title: Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V)
Pages range: 69-79
Language: English


Abstract


The shared task of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V) aims at providing a common benchmark for testing current corpus-based methods for the identification of lexical semantic relations (synonymy, antonymy, hypernymy, part-whole meronymy) and at gaining a better understanding of their respective strengths and weaknesses. The shared task uses a challenging dataset extracted from EVALution 1.0, which contains word pairs holding the above-mentioned relations as well as semantically unrelated control items (random). The task is split into two subtasks: (i) identification of related word pairs vs. unrelated ones; (ii) classification of the word pairs according to their semantic relation. This paper describes the subtasks, the dataset, the evaluation metrics, the seven participating systems and their results. The best performing system in subtask 1 is GHHH (F1 = 0.790), while the best system in subtask 2 is LexNet (F1 = 0.445).



FAU Authors / FAU Editors

Evert, Stefan Prof. Dr.
Lehrstuhl für Korpus- und Computerlinguistik


Research Fields

Further research
Lehrstuhl für Korpus- und Computerlinguistik


How to cite

APA:
Santus, E., Gladkova, A., Evert, S., & Lenci, A. (2016). The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations. In Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V) (pp. 69-79). Osaka, Japan.

MLA:
Santus, Enrico, et al. "The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations." Proceedings of the Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V) Osaka, Japan, 2016. 69-79.

BibTeX: 

Last updated on 2018-11-08 at 00:08