Name
Title | ||
|---|---|---|
A unified knowledge based approach for sense disambiguationm and semantic role labeling |
Abstract | ||
|---|---|---|
In this paper, we present a unified knowledge based approach for sense disambiguation and semantic role labeling. Our approach performs both tasks through a single algorithm that matches candidate semantic interpretations to background knowledge to select the best matching candidate. We evaluate our approach on a corpus of sentences collected from various domains and show how our approach performs well on both sense disambiguation and semantic role labeling. |
Year | Venue | Keywords |
|---|---|---|
2006 | AAAI | various domain,candidate semantic interpretation,sense disambiguationm,single algorithm,unified knowledge,matching candidate,sense disambiguation,semantic role,semantic role labeling,semantic interpretation,knowledge base |
Field | DocType | Citations |
Semantic similarity,SemEval,Semantic search,Information retrieval,Computer science,Natural language processing,Artificial intelligence,Semantic computing,Semantic role labeling | Conference | 10 |
PageRank | References | Authors |
0.84 | 17 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Z. Yeh | 1 | 380 | 28.42 |
| Bruce Porter | 2 | 316 | 30.66 |
| Ken Barker | 3 | 834 | 83.23 |