Name
Abstract | ||
|---|---|---|
•A novel paradigm for viewing an anaphora resolution problem as a pointing problem.•Pointer Networks is used to statistically resolve anaphora for the first time.•The proposed approach is able to refer multiple antecedents in a reference chain form.•We report the state-of-the-art performance of the anaphora resolution. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.patrec.2017.05.015 | Pattern Recognition Letters |
Keywords | Field | DocType |
Anaphora resolution,Deep learning,Pointer networks | Pointer (computer programming),Architecture,Computer science,Speech recognition,Natural language processing,Artificial intelligence,Deep learning,Decoding methods,Syntax,Encoding (memory) | Journal |
Volume | ISSN | Citations |
95 | 0167-8655 | 0 |
PageRank | References | Authors |
0.34 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changki Lee | 1 | 279 | 26.18 |
| Sangkeun Jung | 2 | 197 | 15.23 |
| Cheon-Eum Park | 3 | 1 | 3.05 |