Two languages are more informative than one
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
A uniform architecture for parsing and generation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Forest-based statistical sentence generation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Applying explanation-based learning to control and speeding-up natural language generation
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Ambiguity preserving machine translation using packed representations
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Learning sentential paraphrases from bilingual parallel corpora for text-to-text generation
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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This paper presents a method for generating multiple paraphrases from ambiguous logical forms. The method is based on a chart structure with edges indexed on semantic information and annotations that relate edges to the semantic facts they express. These annotations consist of logical expressions that identify particular realizations encoded in the chart. The method allows simultaneous generation from multiple interpretations, without hindering the generation process or causing any work to be superfluously duplicated.