Abstract
Abstract: The previous chatting systems have generally used methods based on lexical agreement between users’ in-put sentences and target sentences in a database. However, these methods often raise well-known lexical disagreement problems. To resolve some of lexical disagreement problems, we propose a three-step sentence searching method that is sequentially applied when the previous step is failed. The first step is to compare common keyword sequences be-tween users’ inputs and target sentences in the lexical level . The second step is to compare sentence types and se-mantic markers between users’ input and target sentences in the semantic level. The last step is to match users’s in-puts against predefined lexico-syntactic patterns. In the experiments, the proposed method showed better response pre-cision and user satisfaction rate than simple keyword matching methods. Keywords: Chatting, Lexical-level searching, Semantic-level searching, Lexico-syntactic pattern matching 1. 서 론 최근 해양 정보 관련 비정형 데이터의 양이 많이 증가하고 있다
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