Name
Abstract | ||
|---|---|---|
This work explores computing distributional similarity between sub-parses, i. e., fragments of a parse tree, as an extension to general lexical distributional similarity techniques. In the same way that lexical distributional similarity is used to estimate lexical semantic similarity, we propose using distributional similarity between subparses to estimate the semantic similarity of phrases. Such a technique will allow us to identify paraphrases where the component words are not semantically similar. We demonstrate the potential of the method by applying it to a small number of examples and showing that the paraphrases are more similar than the non-paraphrases. |
Year | Venue | Keywords |
|---|---|---|
2005 | EMSEE@ACL | semantic similarity,distributional similarity,general lexical distributional similarity,parse tree,small number,lexical distributional similarity,lexical semantic similarity,component word,lexical semantics |
Field | DocType | Volume |
Semantic similarity,Small number,Parse tree,Information retrieval,Computer science,Artificial intelligence,Natural language processing | Conference | W05-12 |
Citations | PageRank | References |
11 | 0.82 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julie Weeds | 1 | 541 | 34.97 |
| David J. Weir | 2 | 840 | 83.84 |
| Bill Keller | 3 | 87 | 6.26 |