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Volumn 22, Issue 2, 2008, Pages 148-170

Practical use of non-local features for statistical spoken language understanding

Author keywords

Feature induction; Long distance dependency; Non local features; Spoken language understanding

Indexed keywords

ALGORITHMS; ENCODING (SYMBOLS); PARAMETER ESTIMATION; PROBLEM SOLVING; STATISTICAL METHODS;

EID: 35548931640     PISSN: 08852308     EISSN: 10958363     Source Type: Journal    
DOI: 10.1016/j.csl.2007.07.001     Document Type: Article
Times cited : (14)

References (51)
  • 1
    • 35548938537 scopus 로고    scopus 로고
    • Bunescu, R., Mooney, R., 2004. Collective information extraction with relational markov networks. In: Proceedings of the Conference of the Association for Computational Linguistics (ACL), pp. 439-446.
  • 2
    • 84859885240 scopus 로고    scopus 로고
    • Charniak, E., Johnson, M., 2005. Coarse-to-fine n-best parsing and maxent discriminative reranking. In: Proceedings of the Conference of the Association for Computational Linguistics (ACL), Ann Arbor, MI, pp. 363-370.
  • 3
    • 35548987013 scopus 로고    scopus 로고
    • Chieu, H.L., Ng, H.T., 2002. Named entity recognition: a maximum entropy approach using global features. In: Proceedings of the International Conference on Computational Linguistics (COLING), pp. 190-196.
  • 4
    • 84880708659 scopus 로고    scopus 로고
    • Cohen, W.W., de Carvalho, V.R., 2005. Stacked sequential learning. In: Proceedings of the International Joint Conference of Artificial Intelligence (IJCAI), pp. 671-676.
  • 5
    • 35548983000 scopus 로고    scopus 로고
    • Collins, M., 1999. Head-driven statistical models for natural language parsing. Technical Report, University of Pennsylvania.
  • 6
    • 35549005767 scopus 로고    scopus 로고
    • DauméIII, H., 2006. Practical structured learning techniques for natural language processing. Technical Report, Los Angeles, CA.
  • 9
    • 84951778046 scopus 로고    scopus 로고
    • Dietterich, T.G., 2002. Machine learning for sequential data: a review. In: Caelli, T. (Ed.) Structural, Syntactic, and Statistical Pattern Recognition; Lecture Notes in Computer Science, vol. 2396, pp. 15-30.
  • 10
    • 35548998269 scopus 로고    scopus 로고
    • Dowding, J., Gawron, J.M., Appelt, D.E., Bear, J., Cherny, L., Moore, R., Moran, D.B., 1993. Gemini: a natural language system for spoken-language understanding. In: Proceedings of the Conference of the Association for Computational Linguistics (ACL), pp. 54-61.
  • 12
    • 0032119668 scopus 로고    scopus 로고
    • The hierarchical hidden markov model: analysis and applications
    • Fine S., Singer Y., and Tishby N. The hierarchical hidden markov model: analysis and applications. Machine Learning 32 1 (1998) 41-62
    • (1998) Machine Learning , vol.32 , Issue.1 , pp. 41-62
    • Fine, S.1    Singer, Y.2    Tishby, N.3
  • 13
    • 84859918687 scopus 로고    scopus 로고
    • Finkel, J.R., Grenager, T., Manning, C., 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In: Proceedings of the Conference of the Association for Computational Linguistics (ACL), Ann Arbor, MI, pp. 363-370.
  • 14
    • 0040076126 scopus 로고    scopus 로고
    • Automatic labeling of semantic roles
    • Gildea D., and Jurafsky D. Automatic labeling of semantic roles. Computational Linguistics 28 3 (2002) 245-288
    • (2002) Computational Linguistics , vol.28 , Issue.3 , pp. 245-288
    • Gildea, D.1    Jurafsky, D.2
  • 15
    • 0024909979 scopus 로고    scopus 로고
    • Gillick, L., Cox, S., 1989. Some statistical issues in the comparison of speech recognition algorithms. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 532-535.
  • 16
    • 33746550354 scopus 로고    scopus 로고
    • Beyond asr 1-best: using word confusion networks in spoken language understanding
    • Hakkani-Tur D., Bechet F., Riccardi G., and Tur G. Beyond asr 1-best: using word confusion networks in spoken language understanding. Computer Speech & Language 20 4 (2006) 495-514
    • (2006) Computer Speech & Language , vol.20 , Issue.4 , pp. 495-514
    • Hakkani-Tur, D.1    Bechet, F.2    Riccardi, G.3    Tur, G.4
  • 17
    • 9644303420 scopus 로고    scopus 로고
    • Semantic processing using the hidden vector state model
    • He Y., and Young S. Semantic processing using the hidden vector state model. Computer Speech & Language 19 1 (2005) 85-106
    • (2005) Computer Speech & Language , vol.19 , Issue.1 , pp. 85-106
    • He, Y.1    Young, S.2
  • 18
    • 35548960430 scopus 로고    scopus 로고
    • Jeong, M., Lee, G.G., 2006. Exploiting non-local features for spoken language understanding. In: Proceedings of the Joint International Conference on Computational Linguistics and Association of Computational Linguistics (COLING/ACL), Sydney, Australia, pp. 412-419.
  • 19
    • 35548964184 scopus 로고    scopus 로고
    • Lafferty, J., McCallum, A., Pereira, F., 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In: Proceedings of the International Conference on Machine Learning (ICML), pp. 282-289.
  • 20
    • 35548943516 scopus 로고    scopus 로고
    • Levin, E., Pieraccini, R., 1995. Chronus, the next generation. In: Proceedings of ARPA Spoken Language Systems Technical Workshop, Austin, TX, pp. 269-271.
  • 21
    • 35548972909 scopus 로고    scopus 로고
    • Malouf, R., 2002. A comparison of algorithms for maximum entropy parameter estimation. In: Proceedings of the Conference on Natural Language Learning (CoNLL), pp. 49-55.
  • 22
    • 35548944406 scopus 로고    scopus 로고
    • McCallum, A., 2003. Efficiently inducing features of conditional random fields. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), p. 403.
  • 23
    • 33947305118 scopus 로고    scopus 로고
    • Identifying gene and protein mentions in text using conditional random fields
    • McDonald R., and Pereira F. Identifying gene and protein mentions in text using conditional random fields. BMC Bioinformatics 6 Suppl. 1 (2005)
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • McDonald, R.1    Pereira, F.2
  • 24
    • 35548947961 scopus 로고    scopus 로고
    • MUC7, 1998. In: Proceedings of the 7th Message Understanding Conference (muc-7). Available from: .
  • 26
    • 35548936024 scopus 로고    scopus 로고
    • Peckham, J., 1991. Speech understanding and dialogue over the telephone: an overview of the esprit sundial project. In: DARPA Speech and Natural Language Workshop, Pacific Grove, CA.
  • 27
    • 84966270011 scopus 로고    scopus 로고
    • Pellom, B.L., Ward, W., Pradhan, S. S., 2000. The CU communicator: an architecture for dialogue systems. In: Proceedings of the International Conference on Spoken Language Processing (ICSLP).
  • 28
    • 35548983408 scopus 로고    scopus 로고
    • Peng, F., McCallum, A., 2004. Accurate information extraction from research papers using conditional random fields. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics and Human Language Technology (NAACL/HLT), pp. 329-336.
  • 29
    • 1542287488 scopus 로고    scopus 로고
    • Pinto, D., McCallum, A., Lee, X., Croft, W., 2003. Table extraction using conditional random fields. In: Proceedings of the Conference on Research and Developments in Information Retrieval (SIGIR).
  • 30
    • 35548995363 scopus 로고    scopus 로고
    • Price, P.J., 1990. Evaluation of spoken language systems: the atis domain. In: DARPA Speech and Natural Language Workshop, Hidden Valley, PA.
  • 31
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • Rabiner L.R. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE 77 2 (1989) 257-286
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 32
    • 35548977047 scopus 로고    scopus 로고
    • Ramshaw, L.A., Marcus, M.P., 1995. Text chunking using transformation-based learning. In: Proceedings of 3rd Workshop on Very Large Corpora, pp. 82-94.
  • 33
    • 32144456187 scopus 로고    scopus 로고
    • On the use of finite state transducers for semantic interpresentation
    • Raymond R., Bechet F., Mori R.D., and Damnati G. On the use of finite state transducers for semantic interpresentation. Speech Communication 48 3-4 (2006) 288-304
    • (2006) Speech Communication , vol.48 , Issue.3-4 , pp. 288-304
    • Raymond, R.1    Bechet, F.2    Mori, R.D.3    Damnati, G.4
  • 34
    • 35548987468 scopus 로고    scopus 로고
    • Rosenfeld, R., 1994. Adaptive statistical language modeling: a maximum entropy approach.
  • 35
    • 35548996246 scopus 로고    scopus 로고
    • Sarawagi, S., Cohen, W., 2004. Semi-markov conditional random fields for information extraction. In: Proceedings of the International Conference on Machine Learning (ICML).
  • 36
    • 35548976183 scopus 로고    scopus 로고
    • Schapire, R., Rochery, M., Rahim, M., Gupta, N., 2002. Incorporating prior knowledge into boosting. In: Proceedings of the International Conference on Machine Learning (ICML).
  • 37
    • 0030676387 scopus 로고    scopus 로고
    • Schwartz, R., Miller, S., Stallard, S., Makhoul, J., 1997. Hidden understanding models for statistical sentence understanding. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Washington, DC, USA.
  • 38
    • 85014377643 scopus 로고
    • Tina: a natural language system for spoken language applications
    • Seneff S. Tina: a natural language system for spoken language applications. Computational Linguistics 18 1 (1992) 61-86
    • (1992) Computational Linguistics , vol.18 , Issue.1 , pp. 61-86
    • Seneff, S.1
  • 39
    • 35548947960 scopus 로고    scopus 로고
    • Sha, F., Pereira, F., 2003. Shallow parsing with conditional random fields. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics and Human Language Technology (NAACL/HLT).
  • 40
    • 35548981691 scopus 로고    scopus 로고
    • Sutton, C., McCallum, A., 2004. Collective segmentation and labeling of distant entities in information extraction. In: Workshop on Statistical Relational Learning at ICML, Banff, Canada.
  • 42
    • 35548964183 scopus 로고    scopus 로고
    • Taskar, B., Abbeel, P., Koller, D., 2002. Discriminative probabilistic models for relational data. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), Edmonton, Canada, pp. 485-494.
  • 43
    • 35548931503 scopus 로고    scopus 로고
    • Taskar, B., Guestrin, C., Koller, D., 2003. Max-margin markov networks. In: Proceedings of the Advances in Neural Information Processing Systems (NIPS).
  • 44
    • 14344250451 scopus 로고    scopus 로고
    • Tsochantaridis, I., Hofmann, T., Joachims, T., Altun, Y., 2004. Support vector learning for interdependent and structured output spaces. In: Proceedings of the International Conference on Machine Learning (ICML).
  • 45
    • 13544261390 scopus 로고    scopus 로고
    • Combining active and semi-supervised learning for spoken language understanding
    • Tur G., Hakkani-Tur D., and Schapire R.E. Combining active and semi-supervised learning for spoken language understanding. Speech Communication 45 2 (2005) 171-186
    • (2005) Speech Communication , vol.45 , Issue.2 , pp. 171-186
    • Tur, G.1    Hakkani-Tur, D.2    Schapire, R.E.3
  • 46
    • 85009257788 scopus 로고    scopus 로고
    • Walker, M., Rudnicky, A., Prasad, R., Aberdeen, J., Bratt, E., Garofolo, J., Hastie, H., Le, A., Pellom, B., Potamianos, A., Passonneau, R., Roukos, S., Sanders, G., Seneff, S., Stallard, D., 2002. Darpa communicator: Cross-system results for the 2001 evaluation. In: Proceedings of the International Conference on Spoken Language Processing (ICSLP).
  • 47
    • 85032753932 scopus 로고    scopus 로고
    • Spoken language understanding: an introduction to the statistical framework
    • Wang Y., Deng L., and Acero A. Spoken language understanding: an introduction to the statistical framework. IEEE Signal Processing Magazine 22 5 (2005) 16-31
    • (2005) IEEE Signal Processing Magazine , vol.22 , Issue.5 , pp. 16-31
    • Wang, Y.1    Deng, L.2    Acero, A.3
  • 48
    • 35548974699 scopus 로고    scopus 로고
    • Wang, Y., Lee, J., Mahajan, M., Acero, A., December 2005b. Statistical spoken language understanding: from generative model to conditional model. In: Workshop on Advances in Structured Learning for Text and Speech Processing at NIPS.
  • 49
    • 35548929338 scopus 로고    scopus 로고
    • Ward, W., 1990. The cmu air travel information service: understanding spontaneous speech. In: Proceedings of ARPA Spoken Language Systems Technical Workshop, pp. 127-129.
  • 50
    • 35548957280 scopus 로고    scopus 로고
    • Ward, W., Pellom, B., 1999. The CU-communicator system. In: Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding.
  • 51
    • 35548987467 scopus 로고    scopus 로고
    • Young, S., Evermann, G., Gales, M., Hain, T., Kershaw, D., Moore, G., Ollason, J.O. D., Povey, D., Valtchev, V., Woodland, P., 2005. The htk book: version 3.3. Technical Report, Cambridge University, UK. Avilable from: .


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