Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Introduction to Algorithms
A foundation for general-purpose natural language generation: sentence realization using probabilistic models of language
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Fast and optimal decoding for machine translation
Artificial Intelligence
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Statistical phrase-based translation
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Hedge Trimmer: a parse-and-trim approach to headline generation
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
Towards developing generation algorithms for text-to-text applications
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Natural language generation using an information-slim representation
Natural language generation using an information-slim representation
Journal of Artificial Intelligence Research
Abstractive headline generation using WIDL-expressions
Information Processing and Management: an International Journal
Generation in machine translation from deep syntactic trees
SSST '07 Proceedings of the NAACL-HLT 2007/AMTA Workshop on Syntax and Structure in Statistical Translation
A simple domain-independent probabilistic approach to generation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Towards strict sentence intersection: decoding and evaluation strategies
MTTG '11 Proceedings of the Workshop on Monolingual Text-To-Text Generation
How can catchy titles be generated without loss of informativeness?
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
We propose WIDL-expressions as a flexible formalism that facilitates the integration of a generic sentence realization system within end-to-end language processing applications. WIDL-expressions represent compactly probability distributions over finite sets of candidate realizations, and have optimal algorithms for realization via interpolation with language model probability distributions. We show the effectiveness of a WIDL-based NLG system in two sentence realization tasks: automatic translation and headline generation.