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Other research product . Other ORP type . 2018

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

Maldonado, Alfredo; Klubicka, Filip;
Open Access
Published: 01 Jan 2018
Publisher: Technological University Dublin
Country: Ireland
Abstract

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. Candidate hypernyms for an input word are predicted based on cosine similar- ity scores. Two sets of word embedding mod- els were trained separately on two specialised corpora: a medical corpus and a music indus- try corpus. Our system scored highest in the medical domain among the competing unsu- pervised systems but performed poorly on the music industry domain. Our approach does not depend on any external data other than raw specialised corpora.

Subjects

hypernym detection, computational semantics, word embeddings, deep learning, machine learning, Computational Engineering, Digital Humanities, Other Computer Engineering

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Digital Humanities and Cultural Heritage
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Other ORP type . 2018
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