Extending WordNet with fine-grained collocational information via supervised distributional learning

Abstract

WordNet is probably the best known lexical resource in Natural Language Processing. While it/nis widely regarded as a high quality repository of concepts and semantic relations, updating and/nextending it manually is costly. One important type of relation which could potentially add enormous/nvalue toWordNet is the inclusion of collocational information, which is paramount in tasks/nsuch as Machine Translation, Natural Language Generation and Second Language Learning. In/nthis paper, we present ColWordNet (CWN), an extended WordNet version with fine-grained collocational/ninformation, automatically introduced thanks to a method exploiting linear relations/nbetween analogous sense-level embeddings spaces. We perform both intrinsic and extrinsic evaluations,/nand release CWN for the use and scrutiny of the community.