Paper: What Substitutes Tell Us - Analysis of an All-Words Lexical Substitution Corpus

ACL ID E14-1057
Title What Substitutes Tell Us - Analysis of an All-Words Lexical Substitution Corpus
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We present the first large-scale English ?all- words lexical substitution? corpus. The size of the corpus provides a rich resource for investigations into word meaning. We investigate the nature of lexical substitute sets, comparing them to WordNet synsets. We find them to be consistent with, but more fine-grained than, synsets. We also identify significant differences to results for paraphrase ranking in context reported for the SEMEVAL lexical substitution data. This highlights the influence of corpus con- struction approaches on evaluation results.