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Volumn , Issue , 2012, Pages 767-776

To what extent does sentence-internal realisation reflect discourse context? A study on word order

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84905714389     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (26)
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    • Barzilay, R.1    Lapata, M.2
  • 2
    • 85029434098 scopus 로고    scopus 로고
    • Catching the drift: Probabilistic content models with applications to generation and summarization
    • Boston, MA
    • Regina Barzilay and Lillian Lee. 2004. Catching the drift: Probabilistic content models with applications to generation and summarization. In Proceedings of HLT-NAACL 2004, Boston, MA.
    • (2004) Proceedings of HLT-NAACL 2004
    • Barzilay, R.1    Lee, L.2
  • 3
    • 84893365704 scopus 로고    scopus 로고
    • Comparing automatic and human evaluation of NLG systems
    • Trento, Italy
    • Anja Belz and Ehud Reiter. 2006. Comparing automatic and human evaluation of NLG systems. In Proceedings of EACL 2006, pages 313-320, Trento, Italy.
    • (2006) Proceedings of EACL 2006 , pp. 313-320
    • Belz, A.1    Reiter, E.2
  • 8
    • 84859906372 scopus 로고    scopus 로고
    • Correlating human and automatic evaluation of a German surface realiser
    • Suntec, Singapore, August. Association for Computational Linguistics
    • Aoife Cahill. 2009. Correlating human and automatic evaluation of a German surface realiser. In Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 97-100, Suntec, Singapore, August. Association for Computational Linguistics.
    • (2009) Proceedings of the ACL-IJCNLP 2009 Conference Short Papers , pp. 97-100
    • Cahill, A.1
  • 10
    • 77958074280 scopus 로고    scopus 로고
    • Discourse constraints for document compression
    • James Clarke and Mirella Lapata. 2010. Discourse constraints for document compression. Computational Linguistics, 36(3):411-441.
    • (2010) Computational Linguistics , vol.36 , Issue.3 , pp. 411-441
    • Clarke, J.1    Lapata, M.2
  • 14
    • 84888635474 scopus 로고
    • Centering: A framework for modeling the local coherence of discourse
    • Barbara J. Grosz, Aravind Joshi, and Scott Weinstein. 1995. Centering: A framework for modeling the local coherence of discourse. Computational Linguistics, 21(2):203-225.
    • (1995) Computational Linguistics , vol.21 , Issue.2 , pp. 203-225
    • Grosz, B.J.1    Joshi, A.2    Weinstein, S.3
  • 16
    • 62449110396 scopus 로고    scopus 로고
    • Evaluating centering for information ordering using corpora
    • Nikiforos Karamanis, Massimo Poesioand Chris Mellish, and Jon Oberlander. 2009. Evaluating centering for information ordering using corpora. Computational Linguistics, 35(1).
    • (2009) Computational Linguistics , vol.35 , Issue.1
    • Karamanis, N.1    Mellish, M.P.C.2    Oberlander, J.3
  • 17
    • 0001893260 scopus 로고
    • Lexical cohesion, the thesaurus, and the structure of text
    • Jane Morris and Graeme Hirst. 1991. Lexical cohesion, the thesaurus, and the structure of text. Computational Linguistics, 17(1):21-225.
    • (1991) Computational Linguistics , vol.17 , Issue.1 , pp. 21-225
    • Morris, J.1    Hirst, G.2
  • 18
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    • Technical report, Seminar für Sprachwissenschaft, Abt. Computerlinguistik, Universiẗat Tübingen
    • Karin Naumann. 2006. Manual for the annotation of in-document referential relations. Technical report, Seminar für Sprachwissenschaft, Abt. Computerlinguistik, Universiẗat Tübingen.
    • (2006) Manual for the Annotation of In-document Referential Relations
    • Naumann, K.1
  • 22
    • 85020207577 scopus 로고    scopus 로고
    • Annotation of information structure: An evaluation across different types of texts
    • Julia Ritz, Stefanie Dipper, and Michael Götze. 2008. Annotation of information structure: An evaluation across different types of texts. In Proceedings of the the 6th LREC conference.
    • (2008) Proceedings of the the 6th LREC Conference
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.