Paper: SW-AG: Local Context Matching for English Lexical Substitution

ACL ID W07-2066
Title SW-AG: Local Context Matching for English Lexical Substitution
Venue Workshop on Semantic Evaluations (SemEval)
Session
Year 2007
Authors

We present two systems that pick the ten most appropriate substitutes for a marked word in a test sentence. The first system scores candidates based on how frequently their local contexts match that of the marked word. The second system, an enhancement to the first, incorporates cosine similarity us- ing unigram features. The core of both sys- tems bypasses intermediate sense selection. Our results show that a knowledge-light, di- rect method for scoring potential replace- ments is viable.