Open AccessProceedings Article
Resolving this-issue anaphora
Varada Kolhatkar,Graeme Hirst +1 more
- 12 Jul 2012
- pp 1255-1265
TL;DR: A candidate ranking model is proposed for this-issue anaphora resolution that explores different issue-specific and general abstract-anaphora features and is able to identify antecedents that are arbitrary spans of text.
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Abstract: We annotate and resolve a particular case of abstract anaphora, namely, this-issue anaphora. We propose a candidate ranking model for this-issue anaphora resolution that explores different issue-specific and general abstract-anaphora features. The model is not restricted to nominal or verbal antecedents; rather, it is able to identify antecedents that are arbitrary spans of text. Our results show that (a) the model outperforms the strong adjacent-sentence baseline; (b) general abstract-anaphora features, as distinguished from issue-specific features, play a crucial role in this-issue anaphora resolution, suggesting that our approach can be generalized for other NPs such as this problem and this debate; and (c) it is possible to reduce the search space in order to improve performance.
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Citations
Annotating a broad range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus
Olga Uryupina,Ron Artstein,Antonella Bristot,Federica Cavicchio,Francesca Delogu,Kepa Joseba Rodríguez,Massimo Poesio +6 more
TL;DR: All the distinguishing features of the corpus are discussed, so far only partially presented in a number of conference and workshop papers, and the development between the first release of arrau in 2008 and this second one is discussed.
Anaphora With Non-nominal Antecedents in Computational Linguistics: a Survey
TL;DR: The linguistic properties of non-nominal-antecedent anaphora are described, previous annotation efforts that have addressed this topic are examined, and the computational approaches that aim at resolving non- Nominal-Antecedents anaphor automatically are presented.
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•Proceedings Article
Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data
Varada Kolhatkar,Heike Zinsmeister,Graeme Hirst +2 more
- 01 Oct 2013
TL;DR: This work proposes an approach that uses automatically extracted antecedents of CSNs as training data to interpret ASNs, and achieves precisions in the range of 0.35 to 0.72, depending upon the shell noun.
•Proceedings Article
Annotating Anaphoric Shell Nouns with their Antecedents
Varada Kolhatkar,Heike Zinsmeister,Graeme Hirst +2 more
- 01 Aug 2013
TL;DR: The methodology for reliably annotating antecedents of such anaphoric nouns and the challenges faced in doing so are presented, and the quality of crowd annotation using experts is evaluated.
Proceedings of the 13th Conference on Natural Language Processing
John Nerbonne
- 30 Sep 2016
TL;DR: This paper provides some concrete examples and discussion of potential pitfalls of working with non-automated analyses of “non-standard data” with CL methods, and notes that surprises can be in store even in well-studied data sets.
18
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