Existing studies on hierarchy construction mainly focus on text corpora and indiscriminately mix numerous top- ics, thus increasing the possibility of knowledge acquisition bottlenecks and misconceptions. To address t...Existing studies on hierarchy construction mainly focus on text corpora and indiscriminately mix numerous top- ics, thus increasing the possibility of knowledge acquisition bottlenecks and misconceptions. To address these problems and provide a comprehensive and in-depth representation of domain specific topics, we propose a novel topic hierar- chy construction method with real-time update. This method combines heterogeneous evidence from multiple sources in- cluding folksonomy and encyclopedia, separately in both ini- tial topic hierarchy construction and topic hierarchy improve- ment. Results of comprehensive experiments indicate that the proposed method significantly outperforms state-of-the- art methods （t-test, p-value 〈 0.000 1）; recall has particularly improved by 20.4% to 38.7%.展开更多
文摘Existing studies on hierarchy construction mainly focus on text corpora and indiscriminately mix numerous top- ics, thus increasing the possibility of knowledge acquisition bottlenecks and misconceptions. To address these problems and provide a comprehensive and in-depth representation of domain specific topics, we propose a novel topic hierar- chy construction method with real-time update. This method combines heterogeneous evidence from multiple sources in- cluding folksonomy and encyclopedia, separately in both ini- tial topic hierarchy construction and topic hierarchy improve- ment. Results of comprehensive experiments indicate that the proposed method significantly outperforms state-of-the- art methods （t-test, p-value 〈 0.000 1）; recall has particularly improved by 20.4% to 38.7%.
