Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection

The fundamental role of hypernymy in NLP has motivated the development of many methods for the automatic identification of this relation, most of which rely on word distribution. We investigate an extensive number of such unsupervised measures, using several distributional semantic models that differ by context type and feature weighting... (read more)

PDF Abstract EACL 2017 PDF EACL 2017 Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Hypernym Discovery General balAPInc MAP 1.36 # 8
MRR 3.18 # 8
P@5 1.30 # 8
Hypernym Discovery Medical domain balAPInc MAP 0.91 # 8
MRR 2.10 # 8
P@5 1.08 # 8
Hypernym Discovery Music domain balAPInc MAP 1.95 # 7
MRR 5.01 # 7
P@5 2.15 # 7

Methods used in the Paper


METHOD TYPE
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