Abstract
In this paper, we describe ROOT 18, a classifier using the scores of several unsupervised distributional measures as features to discriminate between semantically related and unrelated words, and then to classify the related pairs according to their semantic relation (i.e. synonymy, antonymy, hypernymy, part-whole meronymy). Our classifier participated in the CogALex-V Shared Task, showing a solid performance on the first subtask, but a poor performance on the second subtask. The low scores reported on the second subtask suggest that distributional measures are not sufficient to discriminate between multiple semantic relations at once.- Anthology ID:
- W16-5313
- Volume:
- Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Michael Zock, Alessandro Lenci, Stefan Evert
- Venue:
- CogALex
- SIG:
- SIGLEX
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 98–103
- Language:
- URL:
- https://aclanthology.org/W16-5313
- DOI:
- Cite (ACL):
- Emmanuele Chersoni, Giulia Rambelli, and Enrico Santus. 2016. CogALex-V Shared Task: ROOT18. In Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V), pages 98–103, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- CogALex-V Shared Task: ROOT18 (Chersoni et al., CogALex 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W16-5313.pdf
- Data
- EVALution