| model,31-3-C04-1147,bq | </term> , in this paper we focus on <term> | models | </term> intended to capture the <term> co-occurrence | #6381 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. |
| model,4-3-C04-1147,bq | </term> . In comparison with previous <term> | models | </term> , which either use arbitrary <term> | #6354 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. |
