CAJ | 학술논문

问答系统特别是近年来流行的社区问答系统是信息检索与自然语言领域研究的热点。问题与答案句匹配及相似问题检索是中文问答系统研究的关键问题之一，其本质是基于相似度计算方法，从已解决的历史问答对中找出与查询问题相关的问题。本文以含有事件（动作）信息的复杂类问句为研究对象，提出了一种基于问题语义表征的问题相似度计算方法，问题语义表征结构由疑问焦点块、问题主题块和问题事件块组成，将一个查询问题与历史问题之间的相似度分解为三个主要语义组块之间相似度。实验结果表明，该方法具有一定的有效性。
문답계통특별시근년래류행적사구문답계통시신식검색여자연어언영역연구적열점。문제여답안구필배급상사문제검색시중문문답계통연구적관건문제지일，기본질시기우상사도계산방법，종이해결적역사문답대중조출여사순문제상관적문제。본문이함유사건（동작）신식적복잡류문구위연구대상，제출료일충기우문제어의표정적문제상사도계산방법，문제어의표정결구유의문초점괴、문제주제괴화문제사건괴조성，장일개사순문제여역사문제지간적상사도분해위삼개주요어의조괴지간상사도。실험결과표명，해방법구유일정적유효성。
Question Answering, especially community Question Answering, is a research hotspot in information retrieval and natural language processing in recent years. The matching between question and answer, similar question retrieval are the key problems of Chinese Question answering. The task of similar question retrieval is to compute the similarity of the queried question and the historical questions which have been solved by other users. In this paper, a kind of questions with event information is emphasized and the method of similarity computation based on question semantic representation model is offered. The structure of question semantic representation is made up of question focus chunk, question topic chunk and question event chunk. So the similarity computation between the query and historical questions is divided into similarity of three chunks. In the end, we apply this method to the experiment of similar question retrieval and the results show this method is efficient.