Name
Abstract | ||
|---|---|---|
Joint-event-extraction, which extracts structural information (i.e., entities or triggers of events) from unstructured real-world corpora, has attracted more and more research attention in natural language processing. Most existing works do not fully address the sparse co-occurrence relationships between entities and triggers, which loses this important information and thus deteriorates the extrac... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ICPR48806.2021.9413232 | 2020 25th International Conference on Pattern Recognition (ICPR) |
Keywords | DocType | ISSN |
Training,Knowledge engineering,Natural language processing,Data mining,Labeling,Task analysis,Joining processes | Conference | 1051-4651 |
ISBN | Citations | PageRank |
978-1-7281-8808-9 | 0 | 0.34 |
References | Authors | |
19 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Wang | 1 | 0 | 0.68 |
| Zhuo Xu | 2 | 6 | 5.08 |
| Lu Bai | 3 | 22 | 3.11 |
| Yao Wan | 4 | 0 | 1.35 |
| Lixin Cui | 5 | 3 | 2.74 |
| Qian Zhao | 6 | 1 | 2.04 |
| Edwin R. Hancock | 7 | 5432 | 462.92 |
| Philip S. Yu | 8 | 30670 | 3474.16 |