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Classification of Web Query Intent Using Encyclopedia 基于百科知识的查询意图获取

Bingquan Liu, Ming Liu, Gang Hu Harbin Institute of Technology. Classification of Web Query Intent Using Encyclopedia 基于百科知识的查询意图获取. Meaning Seed term extraction Intent category Experiments results. Outline. Improve performance of retrieve system by searching user’s intent

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Classification of Web Query Intent Using Encyclopedia 基于百科知识的查询意图获取

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  1. Bingquan Liu, Ming Liu, Gang Hu Harbin Institute of Technology Classification of Web Query Intent Using Encyclopedia基于百科知识的查询意图获取

  2. Meaning Seed term extraction Intent category Experiments results Outline

  3. Improve performance of retrieve system by searching user’s intent Classical category methods need adequate training corpus, whereas, it’s unavailable in retrieve situation. Classical category methods mostly focus on long-text, contrastingly, query is quite short-text. Meaning

  4. Semantic similarity calculation between words based on HowNet. Lexical construction to indicate text’s topic. Markoff Random Walk to extend seed term set. Seed term extraction

  5. Training corpus formed by BaiduZhidao daily log. Intent category based on SVM classification. intent category

  6. Experiments results Testing corpus crawled from Sogoucompany. Table 1 Seed terms extraction • Table 2 Classification results

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