GenNext: A consolidated domain adaptable NLG system

ENLG 2013 - 14th European Workshop on Natural Language Generation, Proceedings

Volumn , Issue , 2013, Pages 178-182

  Schilder, Frank ^a   Howald, Blake ^a   Kondadadi, Ravi ^a,b  

^a THOMSON REUTERS   (United Kingdom)

^b NUANCE COMMUNICATIONS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS;

DIFFERENT DOMAINS; DISCOURSE REPRESENTATION; DOCUMENT STRUCTURE; DOMAIN ADAPTATION; EXPERT EVALUATION; HYBRID APPROACH; SEMANTIC CONCEPT; TRAINING CORPUS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84926306338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Gabor Angeli, Percy Liang, and Dan Klein. 2012. A simple domain-independent probabilistic approach to generation. In Proceedings of the 2010 Conference on Empirical Methods for Natural Language Processing (EMNLP 2010), pages 502–512.
2. Regina Barzilay and Mirella Lapata. 2005. Collective content selection for concept-to-text generation. In Proceedings of the 2005 Conference on Empirical Methods for Natural Language Processing (EMNLP 2005), pages 331–338.
3. Valerio Basile and Johan Bos. 2011. Towards generating text from discourse representation structures. In Proceedings of the 13th European Workshop on Natural Language Generation (ENLG), pages 145–150.
4. John Bateman and Michael Zock. 2003. Natural language generation. In R. Mitkov, editor, Oxford Handbook of Computational Linguistics, Research in Computational Semantics, pages 284–304. Oxford University Press, Oxford.
5. Anja Belz and Ehud Reiter. 2006. Comparing automatic and human evaluation of NLG systems. In Proceedings of the European Association for Computational Linguistics (EACL’06), pages 313–320.
6. Anja Belz. 2007. Probabilistic generation of weather forecast texts. In Proceedings of Human Language Technologies 2007: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT’07), pages 164–171.
7. Michael Denkowski and Alon Lavie. 2011. Meteor 1.3: Automatic metric for reliable optimization and evaluation of machine translation systems. In Proceedings of the EMNLP 2011 Workshop on Statistical Machine Translation, pages 85–91.
8. Blake Howald, Ravi Kondadadi, and Frank Schilder. 2013. Domain adaptable semantic clustering in statistical NLG. In Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013), pages 143–154. Association for Computational Linguistics, March.
9. Thorsten Joachims. 2002. Learning to Classify Text Using Support Vector Machines. Kluwer.
10. Hans Kamp and Uwe Reyle. 1993. From Discourse to Logic; An Introduction to Modeltheoretic Semantics of Natural Language, Formal Logic and DRT. Kluwer, Dordrecht.
11. Ravi Kondadadi, Blake Howald, and Frank Schilder. 2013. A statistical NLG framework for aggregated planning and realization. In Proceedings of the Annual Conference for the Association of Computational Linguistics (ACL 2013). Association for Computational Linguistics.
12. Ioannis Konstas and Mirella Lapata. 2012. Concept-to-text generation via discriminative reranking. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 369–378.
13. Irene Langkilde and Kevin Knight. 1998. Generation that exploits corpus-based statistical knowledge. In Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics (ACL’98), pages 704–710.
14. Vladimir Levenshtein. 1966. Binary codes capable of correcting deletions, insertions, and reversals. Soviet Physics Doklady, 10:707–710.
15. Wei Lu and Hwee Tou Ng. 2011. A probabilistic forest-to-string model for language generation from typed lambda calculus expressions. In Proceedings of the 2011 Conference on Empirical Methods for Natural Language Processing (EMNLP 2011), pages 1611–1622.
16. Kathleen R. McKeown. 1985. Text Generation: Using Discourse Strategies and Focus Constraints to Generate Natural Language Text. Cambridge University Press.
17. Kishore Papineni, Slim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. BLEU: A method for automatic evaluation of machine translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL’02), pages 311–318.
18. Franois Portet, Ehud Reiter, Jim Hunter, and Somayajulu Sripada. 2007. Automatic generation of textual summaries from neonatal intensive care data. In In Proccedings of the 11th Conference on Artificial Intelligence in Medicine (AIME 07). LNCS, pages 227–236.
19. Ehud Reiter and Robert Dale. 2000. Building Natural Language Generation Systems. Cambridge University Press.
20. Ehud Reiter, Somayajulu Sripada, Jim Hunter, and Jin Yu. 2005. Choosing words in computer-generated weather forecasts. Artificial Intelligence, 167:137–169.
21. Jacques Robin and Kathy McKeown. 1996. Empirically designing and evaluating a new revision-based model for summary generation. Artificial Intelligence, 85(1-2).
22. Kees van Deemter, Mariët Theune, and Emiel Krahmer. 2005. Real vs. template-based natural language generation: a false opposition? Computational Linguistics, 31(1):15–24.
23. Ian Witten and Eibe Frank. 2005. Data Mining: Practical Machine Learning Techniques with Java Implementation (2nd Ed.). Morgan Kaufmann, San Francisco, CA.