Name
Title | ||
|---|---|---|
A cohesion graph based approach for unsupervised recognition of literal and non-literal use of multiword expressions |
Abstract | ||
|---|---|---|
We present a graph-based model for representing the lexical cohesion of a discourse. In the graph structure, vertices correspond to the content words of a text and edges connecting pairs of words encode how closely the words are related semantically. We show that such a structure can be used to distinguish literal and non-literal usages of multi-word expressions. |
Year | Venue | Keywords |
|---|---|---|
2009 | Graph-based Methods for Natural Language Processing | multiword expression,multi-word expression,lexical cohesion,non-literal usage,graph structure,unsupervised recognition,content word,non-literal use,cohesion graph,graph-based model |
Field | DocType | Citations |
Cohesion (chemistry),Graph,ENCODE,Expression (mathematics),Vertex (geometry),Natural language processing,Artificial intelligence,Mathematics | Conference | 3 |
PageRank | References | Authors |
0.46 | 30 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linlin Li | 1 | 117 | 7.66 |
| Caroline Sporleder | 2 | 453 | 31.84 |