Name
Abstract | ||
|---|---|---|
AbstractText representation is a basic issue of text information processing and event plays an important role in text understanding; both attract the attention of scholars. The event network conceals lexical relations in events, and its edges express logical relations between events in document. However, the events and relations are extracted from event-annotated text, which makes it hard for large-scale text automatic processing. In the paper, with expanded CEC (Chinese Event Corpus) as data source, prior knowledge of manifestation rules of event and relation as the guide, we propose an event extraction method based on knowledge-based rule of event manifestation, to achieve automatic building and improve text processing performance of event network. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1155/2017/8594863 | Periodicals |
Field | DocType | Volume |
Data source,Logical relations,Information processing,Information retrieval,Computer science,Complex event processing,Automatic processing,Text processing | Journal | 2017 |
Issue | ISSN | Citations |
1 | 1687-7578 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunyu Shi | 1 | 61 | 9.80 |
| Jianfang Shan | 2 | 0 | 0.34 |
| Xiang Liu | 3 | 8 | 2.26 |
| Yongxiang Xia | 4 | 78 | 9.76 |