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Named entity recognition (NER) is among SLU tasks that usually extract semantic information from textual documents.
L. A. Ramshaw and M. P. Marcus, “Text chunking using transformation-based learning,”
1995
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S. Galliano, E. Geoffrois, D. Mostefa, K. Choukri, J.-F. Bonastre, and G. Gravier, “The ester phase ii evaluation campaign for the rich transcription of french broadcast news,” in
2005
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2006
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2006
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A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber, “Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,” in
2006
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S. Galliano, G. Gravier, and L. Chaubard, “The ester 2 evaluation campaign for the rich transcription of french radio broadcasts,” in
2009
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R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa, “Natural language processing (almost) from scratch,”
2011
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2011
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G. Gravier, G. Adda, N. Paulson, M. Carré, A. Giraudel, and O. Galibert, “The etape corpus for the evaluation of speech-based tv content processing in the french language,” in
2012
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M. Hatmi, C. Jacquin, E. Morin, and S. Meignier, “Named entity recognition in speech transcripts following an extended taxonomy,” in
2013
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M. Hatmi, C. Jacquin, E. Morin, and S. Meigner, “Incorporating named entity recognition into the speech transcription process,” in
2013
Cited alongside, same era.
C. Raymond, “Robust tree-structured named entities recognition from speech,” in
2013
Cited alongside, same era.
D. Amodei, S. Ananthanarayanan, R. Anubhai, J. Bai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, Q. Cheng, G. Chen
2016
Later among the works it cites.
C. Wang, D. Yogatama, A. Coates, T. Han, A. Hannun, and B. Xiao, “Lookahead convolution layer for unidirectional recurrent neural networks,” 2016
2016
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2016
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X. Ma and E. Hovy, “End-to-end sequence labeling via bi-directional lstm-cnns-crf,”
2016
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M. A. B. Jannet, O. Galibert, M. Adda-Decker, and S. Rosset, “Investigating the effect of ASR tuning on named entity recognition,”
2017
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2014
Cited alongside, same era.
J. P. Chiu and E. Nichols, “Named entity recognition with bidirectional lstm-cnns,”
2015
Cited alongside, same era.
Later among the works it cites.
E. Simonnet, S. Ghannay, N. Camelin, and Y. Estève, “Simulating ASR errors for training SLU systems,” in
2018
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