SW-AG: Local Context Matching For English Substitution
SemEval '07 Proceedings Of The 4th International Workshop On Semantic Evaluations
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 using unigram features. The core of both systems bypasses intermediate sense selection. Our results show that a knowledge-light, direct method for scoring potential replacements is viable.
Association For Computational Linguistics
4th International Workshop On Semantic Evaluations
June 23-24, 2007
Prague, Czech Republic
George Dahl , '08; Anne-Marie Frassica , '09; and Richard H. Wicentowski.
"SW-AG: Local Context Matching For English Substitution".
SemEval '07 Proceedings Of The 4th International Workshop On Semantic Evaluations.