C4.5: programs for machine learning
C4.5: programs for machine learning
An algorithm for pronominal anaphora resolution
Computational Linguistics
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
A corpus-based evaluation of centering and pronoun resolution
Computational Linguistics - Special issue on computational anaphora resolution
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Functional centering: grounding referential coherence in information structure
Computational Linguistics
An annotation scheme for free word order languages
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Robust pronoun resolution with limited knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Never look back: an alternative to centering
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
A centering approach to pronouns
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Evaluating automated and manual acquisition of anaphora resolution strategies
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Anaphora resolution: a multi-strategy approach
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Analysis of syntax-based pronoun resolution methods
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Improving machine learning approaches to coreference resolution
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Combining deep and shallow approaches in parsing German
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
A machine learning approach to pronoun resolution in spoken dialogue
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Coreference resolution using competition learning approach
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Anaphora resolution with real preprocessing
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
Real anaphora resolution is hard: the case of German
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Evaluating salience metrics for the context-adequate realization of discourse referents
ENLG '11 Proceedings of the 13th European Workshop on Natural Language Generation
POWLA: modeling linguistic corpora in OWL/DL
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
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The paper aims at a deeper understanding of several well-known algorithms and proposes ways to optimize them. It describes and discusses factors and strategies of factor interaction used in the algorithms. The factors used in the algorithms and the algorithms themselves are evaluated on a German corpus annotated with syntactic and coreference information (Negra) (Skut et al., 1997). A common format for pronoun resolution algorithms with several open parameters is proposed, and the parameter settings optimal on the evaluation data are given.