Recognizing Referential Links: An Information Extraction Perspective
<|reference_start|>Recognizing Referential Links: An Information Extraction Perspective: We present an efficient and robust reference resolution algorithm in an end-to-end state-of-the-art information extraction system, which must work with a considerably impoverished syntactic analysis of the input sentences. Considering this disadvantage, the basic setup to collect, filter, then order by salience does remarkably well with third-person pronouns, but needs more semantic and discourse information to improve the treatments of other expression types.<|reference_end|>
@article{kameyama1997recognizing,
    title={Recognizing Referential Links: An Information Extraction Perspective},
    author={Megumi Kameyama (SRI International)},
    journal={In Mitkov, R. and B. Boguraev, eds., Proceedings of ACL/EACL
  Workshop on Operational Factors in Practical, Robust Anaphora Resolution for
  Unrestricted Texts, Madrid, July 1997, pages 46-53.},
    year={1997},
    archivePrefix={arXiv},
    eprint={cmp-lg/9707009},
    primaryClass={cmp-lg cs.CL}
}