NLP_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach

Wei Qiu, Mosha Chen, Linlin Li, Luo Si


Abstract
Hypernym discovery aims to discover the hypernym word sets given a hyponym word and proper corpus. This paper proposes a simple but effective method for the discovery of hypernym sets based on word embedding, which can be used to measure the contextual similarities between words. Given a test hyponym word, we get its hypernym lists by computing the similarities between the hyponym word and words in the training data, and fill the test word’s hypernym lists with the hypernym list in the training set of the nearest similarity distance to the test word. In SemEval 2018 task9, our results, achieve 1st on Spanish, 2nd on Italian, 6th on English in the metric of MAP.
Anthology ID:
S18-1148
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
909–913
Language:
URL:
https://www.aclweb.org/anthology/S18-1148
DOI:
10.18653/v1/S18-1148
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1148.pdf