In this paper, we describe our two SemEval- 2007 entries. Our first entry, for Task 5: Multilingual Chinese-English Lexical Sam- ple Task, is a supervised system that decides the most appropriate English translation of a Chinese target word. This system uses a combination of Na¨ıve Bayes, nearest neigh- bor cosine, decision lists, and latent seman- tic analysis. Our second entry, for Task 14: Affective Text, is a supervised system that annotates headlines using a predefined list of emotions. This system uses synonym expan- sion and matches lemmatized unigrams in the test headlines against a corpus of hand- annotated headlines.

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