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Volumn 2, Issue , 2011, Pages 654-659

Hierarchical Reinforcement Learning and Hidden Markov Models for task-oriented natural language generation

Author keywords

[No Author keywords available]

Indexed keywords

HIERARCHICAL REINFORCEMENT LEARNING; HUMAN DATA; LANGUAGE GENERATION; LANGUAGE MODEL; NATURAL LANGUAGE GENERATION; OPTIMISATIONS; REWARD FUNCTION; UNIFIED APPROACH;

EID: 84859074104     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (33)

References (25)
  • 5
    • 67650821457 scopus 로고    scopus 로고
    • Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models
    • Anja Belz. 2008. Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models. Natural Language Engineering, 1:1-26.
    • (2008) Natural Language Engineering , vol.1 , pp. 1-26
    • Belz, A.1
  • 6
    • 33846206923 scopus 로고    scopus 로고
    • Human-computer dialogue simulation using hidden markov models
    • Heriberto Cuayáhuitl, Steve Renals, Oliver Lemon, and Hiroshi Shimodaira. 2005. Human-Computer Dialogue Simulation Using Hidden Markov Models. In Proc. of ASRU, pages 290-295.
    • (2005) Proc. of ASRU , pp. 290-295
    • Cuayáhuitl, H.1    Renals, S.2    Lemon, O.3    Shimodaira, H.4
  • 9
    • 0002278788 scopus 로고    scopus 로고
    • Hierarchical reinforcement learning with the MAXQ value function decomposition
    • Thomas G. Dietterich. 1999. Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition. Journal of Artificial Intelligence Research, 13:227-303.
    • (1999) Journal of Artificial Intelligence Research , vol.13 , pp. 227-303
    • Dietterich, T.G.1
  • 11
    • 84988016286 scopus 로고    scopus 로고
    • The GIVE-2 corpus of giving instructions in virtual environments
    • Andrew Gargett, Konstantina Garoufi, Alexander Koller, and Kristina Striegnitz. 2010. The GIVE-2 corpus of giving instructions in virtual environments. In LREC.
    • (2010) LREC
    • Gargett, A.1    Garoufi, K.2    Koller, A.3    Striegnitz, K.4
  • 14
    • 84856186448 scopus 로고    scopus 로고
    • The first challenge on generating instructions in virtual environments
    • M. Theune and E. Krahmer, editors, Berlin/Heidelberg, Germany. Springer
    • Alexander Koller, Kristina Striegnitz, Donna Byron, Justine Cassell, Robert Dale, Johanna Moore, and Jon Oberlander. 2010. The first challenge on generating instructions in virtual environments. In M. Theune and E. Krahmer, editors, Empirical Methods on Natural Language Generation, pages 337-361, Berlin/Heidelberg, Germany. Springer.
    • (2010) Empirical Methods on Natural Language Generation , pp. 337-361
    • Koller, A.1    Striegnitz, K.2    Byron, D.3    Cassell, J.4    Dale, R.5    Moore, J.6    Oberlander, J.7
  • 16
  • 20
    • 0024610919 scopus 로고
    • A tutorial on Hidden Markov models and selected applications in speech recognition
    • L R Rabiner. 1989. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. In Proceedings of IEEE, pages 257-286.
    • (1989) Proceedings of IEEE , pp. 257-286
    • Rabiner, L.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.