Memory and context for language interpretation
Memory and context for language interpretation
Hierarchy of salience and discourse analysis and production
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
ParseTalk about sentence- and text-level anaphora
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Never look back: an alternative to centering
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
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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The paper develops further the idea of using the notion of the stock of shared knowledge (SSK) for anaphora resolution following a more subtle treatment of the influence of the topic/focus articulation of the sentence on the degrees of salience of items of the SSK. An algorithmic evaluation procedure of the SSK is formulated taking into account the notions of contextual boundness, syntactic associations, complexity of the sentences and existence/nonexistence of possible competitors, and a general evaluating function is proposed, essential for the process of anaphora resolution. In the present paper the analysis is performed for Czech; however, the considerations are claimed to be of a universal validity, the actual relations between different factors and the values, of course, being language-dependent.