Paper: Automated Verb Sense Labelling Based on Linked Lexical Resources

ACL ID E14-1008
Title Automated Verb Sense Labelling Based on Linked Lexical Resources
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We present a novel approach for creat- ing sense annotated corpora automatically. Our approach employs shallow syntactico- semantic patterns derived from linked lex- ical resources to automatically identify in- stances of word senses in text corpora. We evaluate our labelling method intrinsically on SemCor and extrinsically by using au- tomatically labelled corpus text to train a classifier for verb sense disambiguation. Testing this classifier on verbs from the English MASC corpus and on verbs from the Senseval-3 all-words disambiguation task shows that it matches the performance of a classifier which has been trained on manually annotated data.