利用基于图互增理论的自举算法学习语义辞典
이용기우도호증이론적자거산법학습어의사전
Learning Semantic Lexicons Using Graph Mutual Reinforcement Based Bootstrapping
  • 万方数据
    自动化学报 자동화학보
    ACTA AUTOMATICA SINICA
    2008年 10期 1257-1261 ,共5页

    张奇%邱锡鹏%黄萱菁%吴立德

    장기%구석붕%황훤정%오립덕



    Semantic lexicon%bootstrapping%graph mutual reinforcement (GMR)


    This paper presents a method to learn semantic lexicons using a new bootstrapping method based on graph mutual reinforcement (GMR). The approach uses only unlabeled data and a few seed words to learn new words for each semantic category.Different from other bootstrapping methods, we use GMR-based bootstrapping to sort the candidate words and patterns. Experi-mental results show that the GMR-based bootstrapping approach outperforms the existing algorithms both in in-domain data and out-domain data. Furthermore, it shows that the result depends on not only the size of the corpus but also the quality.
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