MELB-MKB: Lexical Substitution system based on Relatives in Context
暂无分享，去创建一个
In this paper we describe the MELB-MKB system, as entered in the SemEval-2007 lexical substitution task. The core of our system was the "Relatives in Context" unsupervised approach, which ranked the candidate substitutes by web-lookup of the word sequences built combining the target context and each substitute. Our system ranked third in the final evaluation, performing close to the top-ranked system.
[1] Eneko Agirre,et al. Word Relatives in Context for Word Sense Disambiguation , 2006, ALTA.
[2] FlickingerDan. On building a more efficient grammar by exploiting types , 2000 .
[3] Eneko Agirre,et al. Publicly Available Topic Signatures for all WordNet Nominal Senses , 2004, LREC.
[4] Christiane Fellbaum,et al. Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.
[5] Dekang Lin,et al. Automatic Retrieval and Clustering of Similar Words , 1998, ACL.