A maximum entropy approach to natural language processing
Computational Linguistics
Maximum entropy models for natural language ambiguity resolution
Maximum entropy models for natural language ambiguity resolution
Floating constraints in lexical choice
Computational Linguistics
A fast and portable realizer for text generation systems
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Hybrid Natural Language Generation from Lexical Conceptual Structures
Machine Translation
Exploiting a probabilistic hierarchical model for generation
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Natural language generation in dialog systems
HLT '01 Proceedings of the first international conference on Human language technology research
Fluency and completeness in instance-based natural language generation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Mapping lexical entries in a verbs database to WordNet senses
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Instance-based natural language generation
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
SPoT: a trainable sentence planner
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Bootstrapping lexical choice via multiple-sequence alignment
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Wide coverage symbolic surface realization
ACLdemo '04 Proceedings of the ACL 2004 on Interactive poster and demonstration sessions
Robust PCFG-based generation using automatically acquired LFG approximations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A trainable approach for multi-lingual speech-to-speech translation system
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Natural Language Engineering
Dependency-based n-gram models for general purpose sentence realisation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A domain-specific statistical surface realizer
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Evaluating coverage for large symbolic NLG grammars
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Dependency based Chinese sentence realization
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
Sentence correction incorporating relative position and parse template language models
IEEE Transactions on Audio, Speech, and Language Processing
Text generation for Brazilian Portuguese: the surface realization task
YIWCALA '10 Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas
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
Optimising natural language generation decision making for situated dialogue
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Dependency-based n-gram models for general purpose sentence realisation
Natural Language Engineering
Data-driven response generation in social media
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A case-based reasoning approach for speech corpus generation
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Generating natural language descriptions from OWL ontologies: the natural OWL system
Journal of Artificial Intelligence Research
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We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked only with domainspecific semantic attributes, while the last system, called NLG3, requires a corpus marked with both semantic attributes and syntactic dependency information. All systems attempt to produce a grammatical natural language phrase from a domain-specific semantic representation. NLG1 serves a baseline system and uses phrase frequencies to generate a whole phrase in one step, while NLG2 and NLG3 use maximum entropy probability models to individually generate each word in the phrase. The systems NLG2 and NLG3 learn to determine both the word choice and the word order of the phrase. We present experiments in which we generate phrases to describe flights in the air travel domain.