Abstract
The thematic knowledge can bridge the gap between semantic entities and syntactic constituents. In document understanding, the correctness and the efficiency could be improved ifthe thematic knowledge is available. In this paper, we propose a semi-automatic method to acquire thematic knowledge of Chinese verbs by exploiting syntactic clues. The syntactic clues, which may be collected by most existing syntactic processors, reduce the hypothesis space of the theta roles. The ambiguities may be further resolved by the evidencesfrom a trainer. A set of heuristics based on linguistic constraints are employed to guide the ambiguity resolution process. To acquire thematic information for verbs, the argument structures of the verbs must be extracted first. A template matching method is used to extract the argument structure of verbs.
Original language | English |
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Title of host publication | Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 |
Publisher | IEEE Computer Society |
Pages | 297-300 |
Number of pages | 4 |
ISBN (Electronic) | 0818671289 |
DOIs | |
State | Published - 1995 |
Externally published | Yes |
Event | 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 - Montreal, Canada Duration: 14 08 1995 → 16 08 1995 |
Publication series
Name | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR |
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Volume | 1 |
ISSN (Print) | 1520-5363 |
Conference
Conference | 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 |
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Country/Territory | Canada |
City | Montreal |
Period | 14/08/95 → 16/08/95 |
Bibliographical note
Publisher Copyright:© 1995 IEEE.