Name
Abstract | ||
|---|---|---|
Linking pronominal expressions to the correct references requires, in many cases, better analysis of the contextual information and external knowledge. In this paper, we propose a two-layer model for pronoun coreference resolution that leverages both context and external knowledge, where a knowledge attention mechanism is designed to ensure the model leveraging the appropriate source of external knowledge based on different context. Experimental results demonstrate the validity and effectiveness of our model, where it outperforms state-of-the-art models by a large margin. |
Year | Venue | Field |
|---|---|---|
2019 | north american chapter of the association for computational linguistics | Pronoun,Coreference,Computer science,Artificial intelligence,Natural language processing |
DocType | Volume | Citations |
Journal | abs/1905.10238 | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongming Zhang | 1 | 10 | 2.54 |
| Yangqiu Song | 2 | 2045 | 103.29 |
| Yangqiu Song | 3 | 1 | 2.38 |