WordNet-Based Inference of Textual Cohesion and Coherence
نویسنده
چکیده
"rhis paperI presents a computational method for the recognition of the cohesive and coherence structures of texts. A large lexieal knowledge base built oil top of WordNet provides with the lexico-senmntic information that needs to be mined. A path-finding algorittam returns tim cot~esive structure of a text with results that outperform previous api~roaches. The Icxical paths contained in the cohesive structures are used to (1) build patterns of association between cue phrases and coherence relations and (2) to find the lexieal dim’acterist.ics of coherence categories. Finally. the textual coherence structure is recognized by giving priority to t.lne coherence constrains induced by cue phrases. "[’he paper presents also the performance of building the coherence structure for several texts.
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