An algorithm for pronominal anaphora resolution
Computational Linguistics
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ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
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ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
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ICSC '07 Proceedings of the International Conference on Semantic Computing
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Computational Linguistics
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
Supervised noun phrase coreference research: the first fifteen years
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
AnCora-CO: Coreferentially annotated corpora for Spanish and Catalan
Language Resources and Evaluation
Resolving "this-issue" anaphora
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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In this paper, we present first results from annotating abstract (discourse-deictic) anaphora in German. Our annotation guidelines provide linguistic tests for identifying the antecedent, and for determining the semantic types of both the antecedent and the anaphor. The corpus consists of selected speaker turns from the Europarl corpus. To date, 100 texts have been annotated according to these guidelines. The annotations show that anaphoric personal and demonstrative pronouns differ with respect to the distance to their antecedents. A semantic analysis reveals that, contrary to suggestions put forward in the literature, referents of anaphors do not tend to be more abstract than the referents of their antecedents.