Year: 2007
Type: conference-paper
Abstract: In this paper, we argue that clustering WordNet senses into more coarse-grained groupings results in higher inter-annotator agreement and increased system performance. Clustering of verb senses involves examining syntactic and semantic features of verbs and arguments on a case-by-case basis rather than applying a strict methodology. Determining appropriate criteria for clustering is based primarily on the needs of annotators.
Source: Linguistic Annotation Workshop
Institution: University of Colorado Boulder
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W2167643563