Anaphora resolution in slot grammar
Computational Linguistics
Verb phrase ellipsis: form, meaning, and processing
Verb phrase ellipsis: form, meaning, and processing
An algorithm for pronominal anaphora resolution
Computational Linguistics
The representation of noun phrases in logical form
The representation of noun phrases in logical form
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A theory of parallelism and the case of VP ellipsis
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
A centering approach to pronouns
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
The effect of establishing coherence in ellipsis and anaphora resolution
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
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ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
An empirically based system for processing definite descriptions
Computational Linguistics
Generation of VP ellipsis: a corpus-based approach
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Chester: towards a personal medication advisor
Journal of Biomedical Informatics - Special issue: Dialog systems for health communications
Robust VPE detection using automatically parsed text
ACLstudent '04 Proceedings of the ACL 2004 workshop on Student research
Verb phrase ellipsis detection using automatically parsed text
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
An annotated corpus for the analysis of VP ellipsis
Language Resources and Evaluation
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This paper reports on an empirically based system that automatically resolves VP ellipsis in the 644 examples identified in the parsed Penn Treebank. The results reported here represent the first systematic corpus-based study of VP ellipsis resolution, and the performance of the system is comparable to the best existing systems for pronoun resolution. The methodology and utilities described can be applied to other discourse-processing problems, such as other forms of ellipsis and anaphora resolution.The system determines potential antecedents for ellipsis by applying syntactic constraints, and these antecedents are ranked by combining structural and discourse preference factors such as recency, clausal relations, and parallelism. The system is evaluated by comparing its output to the choices of human coders. The system achieves a success rate of 94.8%, where success is defined as sharing of a head between the system choice and the coder choice, while a baseline recency-based scheme achieves a success rate of 75.0% by this measure. Other criteria for success are also examined. When success is defined as an exact, word-for-word match with the coder choice, the system performs with 76.0% accuracy, and the baseline approach achieves only 14.6% accuracy. Analysis of the individual components of the system shows that each of the structural and discourse constraints used are strong predictors of the antecedent of VP ellipsis.