TAILIEUCHUNG - Báo cáo khoa học: "THE USE OF SYNTACTIC CLUES IN DISCOURSE PROCESSING"

The stories in the corpus were chosen randomly and the only criterion for rejection was too large a percentage of quoted material. Only the first two hundred words or so of each story were included in the corpus in order to allow a greater samplin~ of reports. The discourse principles at work are fairly represented in an excerpt o ~ this length. The input to the DUMP program consists of a llst of hand-~6rsed sentences making up each story. | THE USE OF SYNTACTIC CLUES IN DISCOURSE PROCESSING Nan Decker 1834 Chase Avenue Cincinnati Ohio 45Z23 USA ABSTRACT The desirability of a syntactic parsing component In natural language understanding systems has been the subject of debate for the past several years. This paper describes an approach to automatic text processing which Is entirely based on syntactic form. A program is described which processes one genre of discourse that of newspaper reports. The program creates summaries of reports by relying on an expanded concept of text grounding certain syntactic structures and tense aspect oalrs Indicate the most Important events In a news story. Supportive background material Is also highly coded syntactically. Certain types of Information are routinely expressed with distinct syntactic forms. Where more than one episode occurs In a single report a change of episode will also be marked syntactically in a reliable way. INTRODUCTION The role that syntactic structure should play In natural language processing has been a matter of debate In computational linguistics. While some researchers eschew syntactic processing as giving a poor return on the heavy Investment of a parser Schank and Riesbeck 1981 others make syntactic representations the basis from which further work Is done Sager 1981 Hirschman and Sager 1982 . Current syntax-based processors tend to work only within a narrow semantic domain since they rely heavily on word co-occurrence patterns which hold only within texts from a particular sublanguage. Knowledge-based processors on the other hand can operate on a less restricted semantic field but only if sufficient knowledge In the form of scripts frames and so forth Is built into the program. This paper describes a syntactic approach to natural language processing which Is not bound to a narrow semantic field and which requires little or no world knowledge. This approach has been demonstrated in a computer program called DUMP Discourse understanding tfodel

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• DISCOURSE PROCESSING
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