ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora

This paper describes a simple but competitive unsupervised system for hypernym discovery. The system uses skip-gram word embeddings with negative sampling, trained on specialised corpora... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Hypernym Discovery Medical domain ADAPT MAP 8.13 # 7
MRR 20.56 # 7
P@5 8.32 # 7
Hypernym Discovery Music domain ADAPT MAP 2.63 # 6
MRR 7.46 # 6
P@5 2.64 # 6

Methods used in the Paper


METHOD TYPE
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