Name
Title | ||
|---|---|---|
Improving Implicit Discourse Relation Recognition With Discourse-Specific Word Embeddings |
Abstract | ||
|---|---|---|
We introduce a simple and effective method to learn discourse-specific word embeddings (DSWE) for implicit discourse relation recognition. Specifically, DSWE is learned by performing connective classification on massive explicit discourse data, and capable of capturing discourse relationships between words. On the PDTB data set, using DSWE as features achieves significant improvements over baselines. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.18653/v1/P17-2042 | PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2 |
Field | DocType | Volume |
Discourse relation,Computer science,Natural language processing,Artificial intelligence,Linguistics | Conference | P17-2 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ChangXing Wu | 1 | 7 | 2.11 |
| Xiaodong Shi | 2 | 8 | 2.16 |
| CHEN Yi-dong | 3 | 106 | 27.34 |
| Jinsong Su | 4 | 260 | 41.51 |
| Boli Wang | 5 | 0 | 0.34 |