메뉴 건너뛰기




Volumn 1, Issue , 2012, Pages 94-100

Fine-grained entity recognition

Author keywords

[No Author keywords available]

Indexed keywords

ENTITY RECOGNITION; ITS DATA; MULTI-CLASS; MULTI-LABEL; PROCESSING APPLICATIONS; RELATION EXTRACTION; SEMANTIC CLASS; TAGGING PROBLEM; TRAINING DATA; UNSUPERVISED METHOD;

EID: 84868276493     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (382)

References (44)
  • 3
    • 84893411649 scopus 로고    scopus 로고
    • Using encyclopedic knowledge for named entity disambiguation
    • Bunescu, R., and Pasca, M. 2006. Using encyclopedic knowledge for named entity disambiguation. In Proceedings of EACL, volume 6, 9-16.
    • (2006) Proceedings of EACL , vol.6 , pp. 9-16
    • Bunescu, R.1    Pasca, M.2
  • 7
    • 80053379324 scopus 로고    scopus 로고
    • Large-scale named entity disambiguation based on wikipedia data
    • Cucerzan, S. 2007. Large-scale named entity disambiguation based on wikipedia data. In Proceedings of EMNLP-CoNLL, volume 2007, 708-716.
    • (2007) Proceedings of EMNLP-CoNLL , vol.2007 , pp. 708-716
    • Cucerzan, S.1
  • 8
    • 85037338954 scopus 로고    scopus 로고
    • Generating typed dependency parses from phrase structure parses
    • De Marneffe, M.; MacCartney, B.; and Manning, C. 2006. Generating typed dependency parses from phrase structure parses. In Proceedings of LREC, volume 6, 449-454.
    • (2006) Proceedings of LREC , vol.6 , pp. 449-454
    • De Marneffe, M.1    MacCartney, B.2    Manning, C.3
  • 11
    • 84863393743 scopus 로고    scopus 로고
    • Structured generative models for unsupervised named-entity clustering
    • Association for Computational Linguistics
    • Eisner, M.; Charniak, E.; and Johnson, M. 2009. Structured generative models for unsupervised named-entity clustering. In Proceedings of NAACL-09: HLT, 164-172. Association for Computational Linguistics.
    • (2009) Proceedings of NAACL-09: HLT , pp. 164-172
    • Eisner, M.1    Charniak, E.2    Johnson, M.3
  • 12
    • 80053288463 scopus 로고    scopus 로고
    • Identifying relations for open information extraction
    • Fader, A.; Soderland, S.; and Etzioni, O. 2011. Identifying relations for open information extraction. EMNLP.
    • (2011) EMNLP
    • Fader, A.1    Soderland, S.2    Etzioni, O.3
  • 13
    • 78651341459 scopus 로고    scopus 로고
    • Tagme: On-the-fly annotation of short text fragments (by wikipedia entities)
    • ACM
    • Ferragina, P., and Scaiella, U. 2010. Tagme: on-the-fly annotation of short text fragments (by wikipedia entities). In Proceedings of ClKM, 1625-1628. ACM.
    • (2010) Proceedings of ClKM , pp. 1625-1628
    • Ferragina, P.1    Scaiella, U.2
  • 14
    • 84859918687 scopus 로고    scopus 로고
    • Incorporating non-local information into information extraction systems by gibbs sampling
    • Association for Computational Linguistics
    • Finkel, J.; Grenager, T.; and Manning, C. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In Proceedings of ACL, 363-370. Association for Computational Linguistics.
    • (2005) Proceedings of ACL , pp. 363-370
    • Finkel, J.1    Grenager, T.2    Manning, C.3
  • 16
    • 77952188478 scopus 로고    scopus 로고
    • Instance-based ontology population exploiting named-entity substitution
    • Association for Computational Linguistics
    • Giuliano, C., and Gliozzo, A. 2008. Instance-based ontology population exploiting named-entity substitution. In Proceedings of the 22nd International Conference on Computational Linguistics-Volume 1, 265-272. Association for Computational Linguistics.
    • (2008) Proceedings of the 22nd International Conference on Computational Linguistics , vol.1 , pp. 265-272
    • Giuliano, C.1    Gliozzo, A.2
  • 18
    • 84859048059 scopus 로고    scopus 로고
    • Knowledge-based weak supervision for information extraction of overlapping relations
    • Hoffmann, R.; Zhang, C.; Ling, X.; Zettlemoyer, L.; and Weld, D. S. 2011. Knowledge-based weak supervision for information extraction of overlapping relations. In ACL.
    • (2011) ACL
    • Hoffmann, R.1    Zhang, C.2    Ling, X.3    Zettlemoyer, L.4    Weld, D.S.5
  • 19
    • 80053288266 scopus 로고    scopus 로고
    • Learning 5000 relational extractors
    • Hoffmann, R.; Zhang, C.; and Weld, D. 2010. Learning 5000 relational extractors. In ACL.
    • (2010) ACL
    • Hoffmann, R.1    Zhang, C.2    Weld, D.3
  • 22
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Lafferty, J.; McCallum, A.; and Pereira, F. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML.
    • (2001) Proceedings of ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 26
    • 85117730830 scopus 로고    scopus 로고
    • Name tagging with word clusters and discriminative training
    • Miller, S.; Guinness, J.; and Zamanian, A. 2004. Name tagging with word clusters and discriminative training. In Proceedings of HLT-NAACL, volume 4.
    • (2004) Proceedings of HLT-NAACL , vol.4
    • Miller, S.1    Guinness, J.2    Zamanian, A.3
  • 27
    • 67650697165 scopus 로고    scopus 로고
    • Learning to link with wikipedia
    • ACM
    • Milne, D., and Witten, I. 2008. Learning to link with wikipedia. In Proceeding of CIKM, 509-518. ACM.
    • (2008) Proceeding of CIKM , pp. 509-518
    • Milne, D.1    Witten, I.2
  • 28
    • 85184862820 scopus 로고    scopus 로고
    • Distant supervision for relation extraction without labeled data
    • Mintz, M.; Bills, S.; Snow, R.; and Jurafsky, D. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of ACL, 1003-1011.
    • (2009) Proceedings of ACL , pp. 1003-1011
    • Mintz, M.1    Bills, S.2    Snow, R.3    Jurafsky, D.4
  • 32
    • 84862300668 scopus 로고    scopus 로고
    • Design challenges and misconceptions in named entity recognition
    • Ratinov, L., and Roth, D. 2009. Design challenges and misconceptions in named entity recognition. In Proceedings of CoNLL, 147-155.
    • (2009) Proceedings of CoNLL , pp. 147-155
    • Ratinov, L.1    Roth, D.2
  • 33
    • 84859042430 scopus 로고    scopus 로고
    • Local and global algorithms for disambiguation to wikipedia
    • Ratinov, L.; Roth, D.; Downey, D.; and Anderson, M. 2011. Local and global algorithms for disambiguation to wikipedia. In Proc. of ACL.
    • (2011) Proc. of ACL
    • Ratinov, L.1    Roth, D.2    Downey, D.3    Anderson, M.4
  • 34
    • 77958036662 scopus 로고    scopus 로고
    • Modeling relations and their mentions without labeled text
    • Riedel, S.; Yao, L.; and McCallum, A. 2010. Modeling relations and their mentions without labeled text. In Proceedings ofECML, 148-163.
    • (2010) Proceedings of ECML , pp. 148-163
    • Riedel, S.1    Yao, L.2    McCallum, A.3
  • 35
    • 80053238545 scopus 로고    scopus 로고
    • Named entity recognition in tweets: An experimental study
    • Association for Computational Linguistics
    • Ritter, A.; Clark, S.; Mausam; and Etzioni, O. 2011. Named entity recognition in tweets: An experimental study. In Proceedings of EMNLP, 1524-1534. Association for Computational Linguistics.
    • (2011) Proceedings of EMNLP , pp. 1524-1534
    • Ritter, A.1    Clark, S.2    Mausam3    Etzioni, O.4
  • 36
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F. 1958. The perceptron: A probabilistic model for information storage and organization in the brain. Psychological review 65(6):386.
    • (1958) Psychological Review , vol.65 , Issue.6 , pp. 386
    • Rosenblatt, F.1
  • 38
    • 84871052276 scopus 로고    scopus 로고
    • Extended named entity ontology with attribute information
    • Sekine, S. 2008. Extended named entity ontology with attribute information. In Proceeding of LREC.
    • (2008) Proceeding of LREC
    • Sekine, S.1
  • 39
    • 0000983941 scopus 로고
    • Wrap-up: A trainable discourse module for information extraction
    • Soderland, S., and Lehnert, W. 1994. Wrap-up: a trainable discourse module for information extraction. J. Artificial Intelligence Research 2:131-158.
    • (1994) J. Artificial Intelligence Research , vol.2 , pp. 131-158
    • Soderland, S.1    Lehnert, W.2
  • 40
    • 85099019865 scopus 로고    scopus 로고
    • Introduction to the conll-2003 shared task: Language-independent named entity recognition
    • Tjong Kim Sang, E., and De Meulder, F. 2003. Introduction to the conll-2003 shared task: Language-independent named entity recognition. In Proceedings of HLT-NAACL.
    • (2003) Proceedings of HLT-NAACL
    • Tjong Kim Sang, E.1    De Meulder, F.2
  • 41
    • 84983470508 scopus 로고    scopus 로고
    • Feature-rich part-of-speech tagging with a cyclic dependency network
    • Association for Computational Linguistics
    • Toutanova, K.; Klein, D.; Manning, C.; and Singer, Y. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of NAACL-HLT. Association for Computational Linguistics.
    • (2003) Proceedings of NAACL-HLT
    • Toutanova, K.1    Klein, D.2    Manning, C.3    Singer, Y.4
  • 44
    • 33947681316 scopus 로고    scopus 로고
    • Ml-knn: A lazy learning approach to multi-label learning
    • Zhang, M., and Zhou, Z. 2007. Ml-knn: A lazy learning approach to multi-label learning. Pattern Recognition 40(7):2038-2048.
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.1    Zhou, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.