Getting computers to talk like you and me
Getting computers to talk like you and me
Attention, intentions, and the structure of discourse
Computational Linguistics
Interpreting anaphors in natural language texts
Interpreting anaphors in natural language texts
C4.5: programs for machine learning
C4.5: programs for machine learning
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
A corpus-based investigation of definite description use
Computational Linguistics
Named Entity recognition without gazetteers
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
A decision-based approach to rhetorical parsing
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Corpus-based identification of non-anaphoric noun phrases
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
SRI International FASTUS system: MUC-6 test results and analysis
MUC6 '95 Proceedings of the 6th conference on Message understanding
Leveraging different meronym discovery methods for bridging resolution in french
DAARC'11 Proceedings of the 8th international conference on Anaphora Processing and Applications
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We present an implemented system for processing definite descriptions. The system is based on the results of a corpus analysis previously reported, which showed how common discourse-new descriptions are in newspaper corpora, and identified several problems to be dealt with when developing computational methods for interpreting bridging descriptions. The annotated corpus produced in this earlier work was used to extensively evaluate the proposed techniques for matching definite descriptions with their antecedents, discourse segmentation, recognizing discourse-new descriptions, and suggesting anchors for bridging descriptions.