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nlp:sequence_labeling

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nlp:sequence_labeling [2021/01/27 23:51] – jmflanignlp:sequence_labeling [2023/06/15 07:36] (current) – external edit 127.0.0.1
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   * Paper that introduced Semi-CRFs: [[http://www.cs.cmu.edu/~wcohen/postscript/semiCRF.pdf|Sarawagi & Cohen 2004 - Semi-Markov Conditional Random Fields for Information Extraction]]   * Paper that introduced Semi-CRFs: [[http://www.cs.cmu.edu/~wcohen/postscript/semiCRF.pdf|Sarawagi & Cohen 2004 - Semi-Markov Conditional Random Fields for Information Extraction]]
   * [[https://arxiv.org/pdf/1604.05499.pdf|Liu et al 2016 - Exploring Segment Representations for Neural Segmentation Models]]  Shows that neural semi-CRF model benefit from representing the entire segment.   * [[https://arxiv.org/pdf/1604.05499.pdf|Liu et al 2016 - Exploring Segment Representations for Neural Segmentation Models]]  Shows that neural semi-CRF model benefit from representing the entire segment.
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 +===== Miscellaneous Models =====
 +  * Constrained Neural Model: [[https://aclanthology.org/K19-1045.pdf|Deutsch et al 2019 - A General-Purpose Algorithm for Constrained Sequential Inference]]
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nlp/sequence_labeling.1611791493.txt.gz · Last modified: 2023/06/15 07:36 (external edit)
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