A Deterministic Word Dependency Analyzer Enhanced With Preference Learning

@inproceedings{Isozaki2004ADW,
  title={A Deterministic Word Dependency Analyzer Enhanced With Preference Learning},
  author={Hideki Isozaki and Hideto Kazawa and Tsutomu Hirao},
  booktitle={COLING},
  year={2004}
}
Word dependency is important in parsing technology. Some applications such as Information Extraction from biological documents benefit from word dependency analysis even without phrase labels. Therefore, we expect an accurate dependency analyzer trainable without using phrase labels is useful. Although such an English word dependency analyzer was proposed by Yamada and Matsumoto, its accuracy is lower than state-of-the-art phrase structure parsers because of the lack of top-down information… CONTINUE READING