An algorithm for pronominal anaphora resolution
Computational Linguistics
Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Aspects of salience in natural language generation
Aspects of salience in natural language generation
A generative perspective on verb alternations
Computational Linguistics - Special issue on natural language generation
Functional centering: grounding referential coherence in information structure
Computational Linguistics
An annotation scheme for free word order languages
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Assigning intonational features in synthesized spoken directions
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Centering: A Parametric Theory and Its Instantiations
Computational Linguistics
Linear order as higher-level decision: information structure in strategic and tactical generation
EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
Optimizing algorithms for pronoun resolution
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
The German Vorfeld and Local Coherence
Journal of Logic, Language and Information
DiscAnnotation '04 Proceedings of the 2004 ACL Workshop on Discourse Annotation
PoCoS: Potsdam coreference scheme
LAW '07 Proceedings of the Linguistic Annotation Workshop
Incorporating information status into generation ranking
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Underspecifying and predicting voice for surface realisation ranking
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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We describe the application of a framework for salience metrics and linguistic variability with respect to the contextually adequate choice of referring expressions and grammatical roles: Where multiple meaning-equivalent candidate realizations are available that differ in one of these aspects, NLG systems can apply salience metrics to predict contextually adequate realization preferences. We evaluate this claim and a number of parameters of salience metrics found in the theoretical literature on two German newspaper corpora. Key features of the approach described here include the application of a two-dimensional model of salience, how its theoretical predictions can be exploited to develop salience metrics for a particular phenomenon, and that these salience metrics can be subsequently applied to other phenomena. This approach can be applied to develop classifiers to predict packaging preferences for phenomena where little training data is available.