Name
Title | ||
|---|---|---|
Joint Case Argument Identification For Japanese Predicate Argument Structure Analysis |
Abstract | ||
|---|---|---|
Existing methods for Japanese predicate argument structure (PAS) analysis identify case arguments of each predicate without considering interactions between the target PAS and others in a sentence. However, the argument structures of the predicates in a sentence are semantically related to each other. This paper proposes new methods for Japanese PAS analysis to jointly identify case arguments of all predicates in a sentence by (1) modeling multiple PAS interactions with a bipartite graph and (2) approximately searching optimal PAS combinations. Performing experiments on the NAIST Text Corpus, we demonstrate that our joint analysis methods substantially outperform a strong baseline and are comparable to previous work. |
Year | Venue | Field |
|---|---|---|
2015 | PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1 | Structure analysis,Computer science,Bipartite graph,Text corpus,Artificial intelligence,Natural language processing,Predicate (grammar),Sentence |
DocType | Volume | Citations |
Conference | P15-1 | 0 |
PageRank | References | Authors |
0.34 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroki Ouchi | 1 | 18 | 8.08 |
| Hiroyuki Shindo | 2 | 75 | 13.80 |
| Kevin Duh | 3 | 819 | 72.94 |
| Yuji Matsumoto | 4 | 27 | 12.98 |