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Volumn , Issue , 2008, Pages

The generation of textual entailment with NLML in an intelligent dialogue system for language learning CSIEC

Author keywords

CSIEC; Generation of textual entailment (GTE); Inference

Indexed keywords

COMMAND LINE; CSIEC; ENGLISH-AS-A-FOREIGN-LANGUAGE; GENERATION OF TEXTUAL ENTAILMENT (GTE); HUMAN BEING; HUMAN-COMPUTER DIALOGUES; INFERENCE; INTELLIGENT DIALOGUE SYSTEMS; LANGUAGE LEARNING; NATURAL LANGUAGE GENERATION; NATURAL LANGUAGES; TEXTUAL ENTAILMENT; TIME AND SPACE;

EID: 67650403793     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NLPKE.2008.4906806     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 1
    • 67650397017 scopus 로고    scopus 로고
    • I. Dagan, O. Glickman, B. Magnini. Ed.: Proceedings of the PASCAL Challenges Workshop on Recognising Textual Entailment. LNCS, 3944. 2005.
    • I. Dagan, O. Glickman, B. Magnini. Ed.: Proceedings of the PASCAL Challenges Workshop on Recognising Textual Entailment. LNCS, Vol. 3944. 2005.
  • 2
    • 84992162860 scopus 로고    scopus 로고
    • Discovery of Inference Rules for Question-answering
    • Cambridge University Press
    • D. Lin, P. Pantel. Discovery of Inference Rules for Question-answering. Natural Language Engineering, 7: 343-360. Cambridge University Press.
    • Natural Language Engineering , vol.7 , pp. 343-360
    • Lin, D.1    Pantel, P.2
  • 3
    • 13244292395 scopus 로고    scopus 로고
    • CSIEC (Computer Simulator in Educational Communication): A Virtual Context-Adaptive Chatting Partner for Foreign Language Learners
    • Kinshuk, et al. Ed, IEEE Computer Society Press
    • J. Jia. CSIEC (Computer Simulator in Educational Communication): A Virtual Context-Adaptive Chatting Partner for Foreign Language Learners. In Kinshuk, et al. Ed.: Proceedings of ICALT (International Conference on Advanced Learning Technology by IEEE Computer Society) 2004, pp. 690-692. IEEE Computer Society Press.
    • (2004) Proceedings of ICALT (International Conference on Advanced Learning Technology by IEEE Computer Society) , pp. 690-692
    • Jia, J.1
  • 4
    • 48249147462 scopus 로고    scopus 로고
    • Motivate the Students to Learn English through Playing with Chatbot CSIEC
    • Z. Pan et al, Eds, Proceedings of EDUTAIMENT, Springer
    • J. Jia, W. Chen. Motivate the Students to Learn English through Playing with Chatbot CSIEC. In Z. Pan et al. (Eds.): Proceedings of EDUTAIMENT 2008. LNCS 5093: 180-191. Springer. 2008.
    • (2008) LNCS , vol.5093 , pp. 180-191
    • Jia, J.1    Chen, W.2
  • 5
    • 67650382674 scopus 로고    scopus 로고
    • NLML - a Markup Language to Describe the Unlimited English Grammar
    • cs.CL/0404018
    • J. Jia. NLML - a Markup Language to Describe the Unlimited English Grammar. CoRR cs.CL/0404018: (2004).
    • (2004) CoRR
    • Jia, J.1
  • 6
    • 51849148380 scopus 로고    scopus 로고
    • Script Based Design for Human-Computer Dialog in Given Scenarios for English Learners
    • IEEE Computer Society Press
    • J. Jia, W. Chen. Script Based Design for Human-Computer Dialog in Given Scenarios for English Learners. In Proceedings of ICALT 2008. pp. 739-744. IEEE Computer Society Press.
    • (2008) Proceedings of ICALT , pp. 739-744
    • Jia, J.1    Chen, W.2
  • 8
    • 85037066932 scopus 로고    scopus 로고
    • Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
    • R. Barzilay, L. Lee. Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment. Proceedings of HLT-NAACL 2003, pp. 16-23.
    • (2003) Proceedings of HLT-NAACL , pp. 16-23
    • Barzilay, R.1    Lee, L.2
  • 12
    • 84902531166 scopus 로고    scopus 로고
    • NLOMJ--Natural Language Object Model in Java
    • Z. Shi, Q. He eds, Springer
    • J. Jia, Y. Ye, K. Mainzer. NLOMJ--Natural Language Object Model in Java, in Z. Shi, Q. He eds.: Intelligent information processing II. pp.201-209. Springer. 2004.
    • (2004) Intelligent information processing II , pp. 201-209
    • Jia, J.1    Ye, Y.2    Mainzer, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.