Construction of an Intelligent System for information Retrieval in an Environment of Information Network

信息网络环境下智能信息检索系统的构建

• 批准号: 09558041
• 负责人: FUJISAKI Hiroya
• 金额: $ 5.76万
• 依托单位: Science University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 1999
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09558041/
• 关键词: information network; intelligent system for information retrieval; key concept; spoken dialogue; unknown word; polysemy; synonymy; dialogue modeling; エージェント; 未知語処理; 意図推察; インターネット; キ-概念検索; information network; intelligent system for information retrieval; key concept; spoken dialogue; unknown word; polysemy; synonymy; dialogue modeling; エージェント; 未知語処理; 意図推察; インターネット; キ-概念検索

The project aimed at realizing an intelligent system for information retrieval over the Internet, The main results obtained are as follows.(1)Basic principlesUse of 'key concepts', estimation of relevance of retrieved results, and spoken dialogue as the user interface, were adopted as basic principles.(2)Processing of unknown wordsIn order to conduct search based on key concepts, the system has to infer the concepts of key words that are not registered in the system's lexicon. On the basis of an extensive collection and classification of such 'unknown words', methods were developed for processing unknown words arising from variations of transcription as well as unknown compound words consisting of known morphemes.(3)Processing of polysemy and synonymyIn order to realize concept-based search, both polysemy and synonymy of keywords have to be coped with. As for polysemy, a method for disambiguation was developed on the basis of collocation information. As for synonymy, a method was developed to expand a keyword on the basis of its concept.(4)Relevance estimation of retrieved resultsA method was developed for estimating the degree of relevance of a document to a query on the basis of number and location of occurrence of keywords within a document. The estimation was optimized to maximize the correlation between the estimated relevance score and the actual score based on human judgment.(5)Dialogue management based on user and system modelingA method for dialogue management was developed on the basis of analysis of simulated dialogues between a user and the system. It adopts separate modeling of the user and the system, represented by two finite-state automata exchanging information mainly through their utterances.(6)Construction of a prototype systemA prototype system was constructed combining the above-mentioned results, and its validity was tested and confirmed experimentally.

该项目旨在实现一个智能系统，用于在互联网上检索，获得的主要结果如下。（1）“关键概念”的基本原理使用，对结果的相关性的估计以及用户界面的口语对话采用了基本原理。（2）基于键入键的概念，该系统的概念是键入的，该概念是键入的，该概念是键概念的，这些概念是键的概念。基于对此类“未知单词”的广泛收集和分类，开发了用于处理由转录的变化以及未知的复合单词组成的未知单词。（3）多义和同义词的处理以实现基于概念的搜索，以实现基于概念的搜索，均可用polysemy和Meytymy of Keywords进行操作。至于多义，根据搭配信息开发了一种歧义方法。至于同义词，开发了一种基于其概念扩展关键字的方法。（4）开发了检索结果方法的相关性估计，以根据文档中关键字的数字和出现关键字的出现的数量和位置来估算文档与查询的相关程度。优化了估计，以最大程度地提高基于人类判断的估计相关性得分与实际得分之间的相关性。（5）基于用户和系统建模方法进行对话管理的对话管理是基于分析用户和系统之间的模拟对话的分析。它采用了用户和系统的单独建模，由两个有限状态自动机代表，主要通过其话语交换信息。（6）构建了原型系统原型系统的构建，结合了上述结果，并经过实验测试并确认其有效性。