TAILIEUCHUNG - Báo cáo khoa học: "AN EMPIRICAL STUDY ON THEMATIC KNOWLEDGE ACQUISITION BASED ON SYNTACTIC CLUES AND HEURISTICS"

Thematic knowledge is a basis of semamic interpretation. In this paper, we propose an acquisition method to acquire thematic knowledge by exploiting syntactic clues from training sentences. The syntactic clues, which may be easily collected by most existing syntactic processors, reduce the hypothesis space of the thematic roles. The ambiguities may be further resolved by the evidences either from a trainer or from a large corpus. | AN EMPIRICAL STUDY ON THEMATIC KNOWLEDGE ACQUISITION BASED ON SYNTACTIC CLUES AND HEURISTICS Rey-Long Liu and Von-Wun Soo Department of Computer Science National Tsing-Hua University HsinChu Taiwan . Email dr798303@ and soo@ Abstract Thematic knowledge is a basis of semantic interpretation. In this paper we propose an acquisition method to acqufre thematic knowledge by exploiting syntactic clues from training sentences. The syntactic clues which may be easily collected by most existing syntactic processors reduce the hypothesis space of the thematic roles. The ambiguities may be further resolved by the evidences either from a trainer or from a large corpus. A set of heuristics based on linguistic constraints is employed to guide the ambiguity resolution process. When a ttaincr is available the system generates new sentences whose thematic validities can be justified by the trainer. When a large corpus is available the thematic validity may be justified by observing the sentences in the corpus. Using this way a syntactic processor may become a thematic recognizer by simply deriving its thematic knowledge from its own syntactic knowledge. Keywords Thematic Knowledge Acquisition Syntactic Clues Heuristics-guided Ambiguity Resolution Corpus-based Acquisition Interactive Acquisition 1. INTRODUCTION Natural language processing NLP systems need various knowledge including syntactic semantic discourse and pragmatic knowledge in different applications. Perhaps due to the relatively well-established syntactic theories and formalisms there were many syntactic processing systems either manually constructed or automatically extended by various acquisition methods Asker92 Berwick85 Brent91 Liu92b Lytinen90 Samuelsson91 Simmons91 Sanfi-lippo92 Smadja91 and Sekine92 . However the satisfactory representation and acquisition methods of domain-independent semantic discourse and pragmatic knowledge are not yet developed or computationally implemented.

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