Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment
Yogarshi Vyas, Marine Jacinthe Carpuat · 2016
We introduce the task of cross-lingual lexical entailment, which aims to detect whether the meaning of a word in one language can be inferred from the meaning of a word in another language.We construct a gold standard for this task, and propose an unsupervised solution based on distributional word representations.As commonly done in the monolingual setting, we assume a word e entails a word f if the prominent context features of e are a subset of those of f .To address the challenge of comparing contexts across languages, we propose a novel method for inducing sparse bilingual word representations from monolingual and parallel texts.Our approach yields an Fscore of 70%, and significantly outperforms strong baselines based on translation and on existing word representations.