A Pointwise Approach to Training Dependency Parsers from Partially Annotated Corpora

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  • Flannery Daniel
    Graduate School of Informatics, Kyoto University
  • Miyao Yusuke
    National Institute of Informatics
  • Neubig Graham
    Graduate School of Informatics, Kyoto University Now affiliated with the Nara Institute of Science and Technology
  • Mori Shinsuke
    Academic Center for Computing and Media Studies, Kyoto University

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抄録

We introduce a word-based dependency parser for Japanese that can be trained from partially annotated corpora, allowing for effective use of available linguistic resources and reduction of the costs of preparing new training data. This is especially important for domain adaptation in a real-world situation. We use a pointwise approach where each edge in the dependency tree for a sentence is estimated independently. Experiments on Japanese dependency parsing show that this approach allows for rapid training and achieves accuracy comparable to state-of-the-art dependency parsers trained on fully annotated data.

収録刊行物

  • 自然言語処理

    自然言語処理 19 (3), 167-191, 2012

    一般社団法人　言語処理学会

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