메뉴 건너뛰기




Volumn , Issue , 2012, Pages 1219-1228

Distributional semantics with eyes: Using image analysis to improve computational representations of word meaning

Author keywords

language; object recognition; semantics; visual words

Indexed keywords

IMAGE ANALYSIS TECHNIQUES; IMAGE ANNOTATION; LANGUAGE; PROCESSING TECHNIQUE; SEMANTIC RELATEDNESS; SEMANTIC REPRESENTATION; VISUAL FEATURE; VISUAL WORD; WORD MEANING;

EID: 84871385304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2396422     Document Type: Conference Paper
Times cited : (30)

References (61)
  • 1
    • 67651176167 scopus 로고    scopus 로고
    • Integrating experiential and distributional data to learn semantic representations
    • M. Andrews, G. Vigliocco, and D. Vinson. Integrating experiential and distributional data to learn semantic representations. Psych. Rev., 116(3):463-498, 2009.
    • (2009) Psych. Rev. , vol.116 , Issue.3 , pp. 463-498
    • Andrews, M.1    Vigliocco, G.2    Vinson, D.3
  • 3
    • 24144458606 scopus 로고    scopus 로고
    • Word sense disambiguation with pictures
    • K. Barnard and M. Johnson. Word sense disambiguation with pictures. Artificial Intelligence, 167:13-30, 2005.
    • (2005) Artificial Intelligence , vol.167 , pp. 13-30
    • Barnard, K.1    Johnson, M.2
  • 4
    • 77953151727 scopus 로고    scopus 로고
    • Strudel: A distributional semantic model based on properties and types
    • M. Baroni, E. Barbu, B. Murphy, and M. Poesio. Strudel: A distributional semantic model based on properties and types. Cognitive Science, 34(2):222-254, 2010.
    • (2010) Cognitive Science , vol.34 , Issue.2 , pp. 222-254
    • Baroni, M.1    Barbu, E.2    Murphy, B.3    Poesio, M.4
  • 5
    • 56049110390 scopus 로고    scopus 로고
    • Concepts and properties in word spaces
    • M. Baroni and A. Lenci. Concepts and properties in word spaces. Italian Journal of Linguistics, 20(1):55-88, 2008.
    • (2008) Italian Journal of Linguistics , vol.20 , Issue.1 , pp. 55-88
    • Baroni, M.1    Lenci, A.2
  • 7
    • 78149327581 scopus 로고    scopus 로고
    • Automatic attribute discovery and characterization from noisy Web data
    • T. Berg, A. Berg, and J. Shih. Automatic attribute discovery and characterization from noisy Web data. In Proceedings of ECCV, pages 663-676, 2010.
    • (2010) Proceedings of ECCV , pp. 663-676
    • Berg, T.1    Berg, A.2    Shih, J.3
  • 13
    • 80555123004 scopus 로고    scopus 로고
    • Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization
    • J. Caicedo, J. Ben-Abdallah, F. González, and O. Nasraoui. Multimodal representation, indexing, automated annotation and retrieval of image collections via non-negative matrix factorization. Neurocomputing, 76(1):50-60, 2012.
    • (2012) Neurocomputing , vol.76 , Issue.1 , pp. 50-60
    • Caicedo, J.1    Ben-Abdallah, J.2    González, F.3    Nasraoui, O.4
  • 16
    • 43249093335 scopus 로고    scopus 로고
    • Image retrieval: Ideas, inuences, and trends of the new age
    • R. Datta, D. Joshi, J. Li, and J. Wang. Image retrieval: Ideas, inuences, and trends of the new age. ACM Computing Surveys, 40(2), 2008.
    • (2008) ACM Computing Surveys , vol.40 , Issue.2
    • Datta, R.1    Joshi, D.2    Li, J.3    Wang, J.4
  • 23
    • 79953883820 scopus 로고    scopus 로고
    • Visual information in semantic representation
    • Y. Feng and M. Lapata. Visual information in semantic representation. In Proceedings of HLT-NAACL, pages 91-99, 2010.
    • (2010) Proceedings of HLT-NAACL , pp. 91-99
    • Feng, Y.1    Lapata, M.2
  • 24
    • 33745855044 scopus 로고    scopus 로고
    • The pyramid match kernel: Discriminative classification with sets of image features
    • K. Grauman and T. Darrell. The pyramid match kernel: Discriminative classification with sets of image features. In Proceedings of ICCV, pages 1458-1465, 2005.
    • (2005) Proceedings of ICCV , pp. 1458-1465
    • Grauman, K.1    Darrell, T.2
  • 27
    • 0000600219 scopus 로고    scopus 로고
    • A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge
    • T. Landauer and S. Dumais. A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psych. Rev., 104(2):211-240, 1997.
    • (1997) Psych. Rev. , vol.104 , Issue.2 , pp. 211-240
    • Landauer, T.1    Dumais, S.2
  • 28
    • 62949177665 scopus 로고    scopus 로고
    • Improving Object Detection with Boosted Histograms
    • I. Laptev. Improving Object Detection with Boosted Histograms. Image and Vision Computing, 27:535-544, 2009.
    • (2009) Image and Vision Computing , vol.27 , pp. 535-544
    • Laptev, I.1
  • 29
    • 24644452540 scopus 로고    scopus 로고
    • A model for learning the semantics of pictures
    • V. Lavrenko, R. Manmatha, and J. Jeon. A model for learning the semantics of pictures. In NIPS, 2003.
    • (2003) NIPS
    • Lavrenko, V.1    Manmatha, R.2    Jeon, J.3
  • 30
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Proceedings of CVPR, pages 2169-2178, 2006.
    • (2006) Proceedings of CVPR , pp. 2169-2178
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 31
    • 84953837109 scopus 로고    scopus 로고
    • Going beyond text: A hybrid image-text approach for measuring word relatedness
    • C. W. Leong and R. Mihalcea. Going beyond text: A hybrid image-text approach for measuring word relatedness. In Proceedings of IJCNLP, pages 1403-1407, 2011.
    • (2011) Proceedings of IJCNLP , pp. 1403-1407
    • Leong, C.W.1    Mihalcea, R.2
  • 32
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Nov.
    • D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2), Nov. 2004.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2
    • Lowe, D.1
  • 33
    • 0037605106 scopus 로고    scopus 로고
    • Towards a theory of semantic space
    • W. Lowe. Towards a theory of semantic space. In Proceedings of CogSci, pages 576-581, 2001.
    • (2001) Proceedings of CogSci , pp. 576-581
    • Lowe, W.1
  • 34
    • 0000458784 scopus 로고    scopus 로고
    • Producing high-dimensional semantic spaces from lexical co-occurrence
    • K. Lund and C. Burgess. Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, 28:203-208, 1996.
    • (1996) Behavior Research Methods , vol.28 , pp. 203-208
    • Lund, K.1    Burgess, C.2
  • 36
    • 84931059008 scopus 로고
    • Contextual correlates of semantic similarity
    • G. Miller and W. Charles. Contextual correlates of semantic similarity. Language and Cognitive Processes, 6(1):1-28, 1991.
    • (1991) Language and Cognitive Processes , vol.6 , Issue.1 , pp. 1-28
    • Miller, G.1    Charles, W.2
  • 38
    • 84864059224 scopus 로고    scopus 로고
    • Fast discriminative visual codebooks using randomized clustering forests
    • F. Moosmann, B. Triggs, and F. Jurie. Fast discriminative visual codebooks using randomized clustering forests. In Neural Information Processing Systems, pages 985-992, 2006.
    • (2006) Neural Information Processing Systems , pp. 985-992
    • Moosmann, F.1    Triggs, B.2    Jurie, F.3
  • 40
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In Proceedings of CVPR, pages 2161-2168, 2006.
    • (2006) Proceedings of CVPR , pp. 2161-2168
    • Nister, D.1    Stewenius, H.2
  • 41
    • 34347357484 scopus 로고    scopus 로고
    • Dependency-based construction of semantic space models
    • S. Padó and M. Lapata. Dependency-based construction of semantic space models. Computational Linguistics, 33(2):161-199, 2007.
    • (2007) Computational Linguistics , vol.33 , Issue.2 , pp. 161-199
    • Padó, S.1    Lapata, M.2
  • 44
    • 58149136554 scopus 로고    scopus 로고
    • Word sense discovery based on sense descriptor dissimilarity
    • R. Rapp. Word sense discovery based on sense descriptor dissimilarity. In Proceedings of MT Summit, pages 315-322, 2003.
    • (2003) Proceedings of MT Summit , pp. 315-322
    • Rapp, R.1
  • 46
    • 79961229829 scopus 로고    scopus 로고
    • Redundancy in perceptual and linguistic experience: Comparing feature-based and distributional models of semantic representation
    • B. Riordan and M. Jones. Redundancy in perceptual and linguistic experience: Comparing feature-based and distributional models of semantic representation. Topics in Cognitive Science, 3(2):1-43, 2011.
    • (2011) Topics in Cognitive Science , vol.3 , Issue.2 , pp. 1-43
    • Riordan, B.1    Jones, M.2
  • 49
  • 50
    • 84871388545 scopus 로고    scopus 로고
    • Ambiguity Resolution in Natural Language Learning
    • H. Schütze. Ambiguity Resolution in Natural Language Learning. CSLI, Stanford, CA, 1997.
    • CSLI, Stanford, CA, 1997
    • Schütze, H.1
  • 51
    • 0345414182 scopus 로고    scopus 로고
    • Video Google: A Text Retrieval Approach to Object Matching in Videos
    • J. Sivic and A. Zisserman. Video Google: A Text Retrieval Approach to Object Matching in Videos. In Proceedings of ICCV, 2003.
    • Proceedings of ICCV, 2003
    • Sivic, J.1    Zisserman, A.2
  • 58
    • 84871365742 scopus 로고    scopus 로고
    • Text and image subject classifiers: Dense works better
    • D. Vreeswijk, B. Huurnink, and A. Smeulders. Text and image subject classifiers: dense works better. In ACM MM, 2011.
    • (2011) ACM MM
    • Vreeswijk, D.1    Huurnink, B.2    Smeulders, A.3
  • 59
    • 77953177673 scopus 로고    scopus 로고
    • Joint learning of visual attributes, object classes and visual saliency
    • G. Wang and D. Forsyth. Joint learning of visual attributes, object classes and visual saliency. In Proceedings of ICCV, 2009.
    • Proceedings of ICCV, 2009
    • Wang, G.1    Forsyth, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.