Generating referring expressions: boolean extensions of the incremental algorithm
Computational Linguistics
Graph-based generation of referring expressions
Computational Linguistics
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Generating referring expressions involving relations
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
The computational complexity of avoiding conversational implicatures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
A fast algorithm for the generation of referring expressions
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
A best-first search algorithm for generating referring expressions
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Generating Referring Expressions: Making Referents Easy to Identify
Computational Linguistics
Conceptual coherence in the generation of referring expressions
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Combining Frequent and Discriminating Attributes in the Generation of Definite Descriptions
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Using Probabilistic Feature Matching to Understand Spoken Descriptions
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Trainable speaker-based referring expression generation
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Generation of referring expressions: managing structural ambiguities
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Generation of repeated references to discourse entities
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Evaluating algorithms for the generation of referring expressions using a balanced corpus
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
A hearer-oriented evaluation of referring expression generation
ENLG '09 Proceedings of the 12th European Workshop on Natural Language Generation
UDel: generating referring expressions guided by psycholinguistic findings
UCNLG+Sum '09 Proceedings of the 2009 Workshop on Language Generation and Summarisation
UDel: extending reference generation to multiple entities
UCNLG+Sum '09 Proceedings of the 2009 Workshop on Language Generation and Summarisation
A game-theoretic model of metaphorical bargaining
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Learning adaptive referring expression generation policies for spoken dialogue systems
Empirical methods in natural language generation
Generating referring expressions in context: the GREC task evaluation challenges
Empirical methods in natural language generation
A translation from logic to English with dynamic semantics
JSAI-isAI'09 Proceedings of the 2009 international conference on New frontiers in artificial intelligence
Computational generation of referring expressions: A survey
Computational Linguistics
Information Processing and Management: an International Journal
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We present an algorithm for generating referring expressions in open domains. Existing algorithms work at the semantic level and assume the availability of a classification for attributes, which is only feasible for restricted domains. Our alternative works at the realisation level, relies on Word-Net synonym and antonym sets, and gives equivalent results on the examples cited in the literature and improved results for examples that prior approaches cannot handle. We believe that ours is also the first algorithm that allows for the incremental incorporation of relations. We present a novel corpus-evaluation using referring expressions from the Penn Wall Street Journal Treebank.