Name
Abstract | ||
|---|---|---|
We investigate the semantic relationship between a noun and its adjectival modifiers. We introduce a class of probabilistic models that enable us to to simultaneously capture both the semantic similarity of nouns and modifiers, and adjective-noun selectional preference. Through a combination of novel and existing evaluations we test the degree to which adjective-noun relationships can be categorised. We analyse the effect of lexical context on these relationships, and the efficacy of the latent semantic representation for disambiguating word meaning. |
Year | Venue | Keywords |
|---|---|---|
2012 | *SEM@NAACL-HLT | adjective-noun pair,semantic similarity,probabilistic model,adjectival modifier,adjective-noun relationship,latent semantic representation,lexical context,semantic relationship,adjective-noun selectional preference,disambiguating word meaning |
Field | DocType | Citations |
Semantic similarity,Semantic relationship,ADJECTIVAL MODIFIERS,Computer science,Noun,Artificial intelligence,Natural language processing,Probabilistic logic,Semantic representation,Adjective,Semantics | Conference | 1 |
PageRank | References | Authors |
0.34 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karl Moritz Hermann | 1 | 1131 | 47.50 |
| Phil Blunsom | 2 | 3130 | 152.18 |
| chris dyer | 3 | 5438 | 232.28 |
| Stephen Pulman | 4 | 450 | 38.31 |