| other,18-3-C04-1147,bq | In comparison with previous <term> models </term> , which either use arbitrary <term> windows </term> to compute <term> similarity </term> between <term> words </term> or use <term> lexical affinity </term> to create <term> sequential models </term> , in this paper we focus on <term> models </term> intended to capture the <term> co-occurrence patterns </term> of any pair of <term> words </term> or <term> phrases </term> at any distance in the <term> corpus </term> . | #6368 In comparison with previous models, which either use arbitrary windows to compute similarity between words or use lexical affinity to create sequential models, in this paper we focus on models intended to capture the co-occurrence patterns of any pair of words or phrases at any distance in the corpus. |
