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We propose a neural reranking system for named entity recognition (NER).
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty, Andrew McCallum, and Fernando Pereira. 2001 · 2001
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Ranking algorithms for named-entity extraction: Boosting and the voted perceptron
Michael Collins. 2002 · 2002
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Named entity recognition using an hmm-based chunk tagger
GuoDong Zhou and Jian Su. 2002 · 2002
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
Erik F Tjong Kim Sang and Fien De Meulder. 2003 · 2003
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Discriminative reranking for machine translation
Libin Shen, Anoop Sarkar, and Franz Josef Och. 2004 · 2004
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Discriminative reranking for natural language parsing
Michael Collins and Terry Koo. 2005 · 2005
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Reranking answers for definitional qa using language modeling
Yi Chen, Ming Zhou, and Shilong Wang. 2006 · 2006
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Exploiting wikipedia as external knowledge for named entity recognition
Junichi Kazama and Kentaro Torisawa. 2007 · 2007
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Reranking machine translation hypotheses with structured and web-based language models
Wen Wang, Andreas Stolcke, and Jing Zheng. 2007 · 2007
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Reranking for biomedical named-entity recognition
Kazuhiro Yoshida and Jun’ichi Tsujii. 2007 · 2007
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Semi-supervised sequential labeling and segmentation using giga-word scale unlabeled data
Jun Suzuki and Hideki Isozaki. 2008 · 2008
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Design challenges and misconceptions in named entity recognition
Lev Ratinov and Dan Roth. 2009 · 2009
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Kernel-based reranking for named-entity extraction
Truc-Vien T Nguyen, Alessandro Moschitti, and Giuseppe Riccardi. 2010 · 2010
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
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Named entity recognition with bilingual constraints
Wanxiang Che, Mengqiu Wang, Christopher D Manning, and Ting Liu. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Named entity recognition with bidirectional lstm-cnns
Jason PC Chiu and Eric Nichols. 2015 · 2015
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Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
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Finding function in form: Compositional character models for open vocabulary word representation
Wang Ling, Tiago Luís, Luís Marujo, Ramón Fernandez Astudillo, Silvio Amir, Chris Dyer, Alan W Black, and Isabel Trancoso. 2015 · 2015
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Joint named entity recognition and disambiguation
Gang Luo, Xiaojiang Huang, Chin-Yew Lin, and Zaiqing Nie. 2015 · 2015
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Neural networks for open domain targeted sentiment
Meishan Zhang, Yue Zhang, and Duy-Tin Vo. 2015 · 2015
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Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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A convolutional neural network for modelling sentences
Nal Kalchbrenner, Edward Grefenstette, and Phil Blunsom. 2014 · 2014
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Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2014 · 2014
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Lexicon infused phrase embeddings for named entity resolution
Alexandre Passos, Vineet Kumar, and Andrew McCallum. 2014 · 2014
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A re-ranking model for dependency parser with recursive convolutional neural network
Chenxi Zhu, Xipeng Qiu, Xinchi Chen, and Xuanjing Huang. 2015 · 2015
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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End-to-end sequence labeling via bi-directional lstm-cnns-crf
Xuezhe Ma and Eduard Hovy. 2016 · 2016
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Combining discrete and neural features forsequence labeling
Jie Yang, Zhiyang Teng, Meishan Zhang, and Yue Zhang. 2016 · 2016
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Libn3l: a lightweight package for neural nlp
Meishan Zhang, Jie Yang, Zhiyang Teng, and Yue Zhang. 2016 · 2016
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