Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
EuroWordNet: a multilingual database with lexical semantic networks
EuroWordNet: a multilingual database with lexical semantic networks
An empirical study on the generation of anaphora in Chinese
Computational Linguistics
Automatic detection of text genre
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
Evaluating a focus-based approach to anaphora resolution
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Learning attribute selections for non-pronominal expressions
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Building a pronominalization model by feature selection and machine learning
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
AARLISS – an algorithm for anaphora resolution in long-distance inter sentential scenarios
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
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Our aim in this paper is to identify genreindependent factors that influence the decision to pronominalize. Results based on the annotation of twelve texts from four genres show that only a few factors have a strong influence on pronominalization across genres, i.e. distance from last mention, agreement, and form of the antecedent. Finally, we describe a probabilistic model of pronominalization derived from our data.