English

Recognizing Referential Links: An Information Extraction Perspective

cmp-lg 2008-02-03 v1 Computation and Language

Abstract

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.

Keywords

Cite

@article{arxiv.cmp-lg/9707009,
  title  = {Recognizing Referential Links: An Information Extraction Perspective},
  author = {Megumi Kameyama},
  journal= {arXiv preprint arXiv:cmp-lg/9707009},
  year   = {2008}
}

Comments

8 pages. a paper in the proceedings of the ACL/EACL'97 workshop on anaphora resolution