A Light-weight Approach to Coreference Resolution for Named Entities in Text

@inproceedings{Dimitrov2002ALA,
  title={A Light-weight Approach to Coreference Resolution for Named Entities in Text},
  author={M. Dimitrov and Kalina Bontcheva and H. Cunningham and D. Maynard},
  year={2002}
}
This paper presents a lightweight approach to pronoun resolution in the case when the antecedent is named entity. It falls under the category of the so-called "knowledge poor" approaches that do not rely extensively on linguistic and domain knowledge. We provide a practical implementation of this approach as a component of the General Architecture for Text Engineering (GATE). The results of the evaluation show that even such shallow and inexpensive approaches provide acceptable performance for… Expand

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References

SHOWING 1-10 OF 49 REFERENCES
Robust Pronoun Resolution with Limited Knowledge
Overview of MUC-7
Evaluation Tool for Rule-based Anaphora Resolution Methods
Using a semantic network for information extraction
Pronoun Resolution of "They" and "Them"
A utomatic Resolution of Anaphora in English
...
1
2
3
4
5
...