SC-NER: A Sequence-to-Sequence Model with Sentence Classification for Named Entity Recognition
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Zheng Liu | Yu Wang | Yun Li | Bin Xia | Ziye Zhu | Bin Xia | Yun Li | Zheng Liu | Yu Wang | Ziye Zhu
[1] Denny Britz,et al. Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models , 2017, EMNLP.
[2] Eduard H. Hovy,et al. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF , 2016, ACL.
[3] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[4] Guillaume Lample,et al. Neural Architectures for Named Entity Recognition , 2016, NAACL.
[5] Satoshi Sekine,et al. A survey of named entity recognition and classification , 2007 .
[6] Yejin Choi,et al. Dynamic Entity Representations in Neural Language Models , 2017, EMNLP.
[7] Mark G. Lee,et al. A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition , 2014, COLING.
[8] Kenny Q. Zhu,et al. Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media , 2017, NUT@EMNLP.
[9] Carl Doersch,et al. Tutorial on Variational Autoencoders , 2016, ArXiv.
[10] Alexander M. Rush,et al. Sequence-to-Sequence Learning as Beam-Search Optimization , 2016, EMNLP.
[11] Wei-Yun Ma,et al. Leveraging Linguistic Structures for Named Entity Recognition with Bidirectional Recursive Neural Networks , 2017, EMNLP.
[12] Yejin Choi,et al. Neural AMR: Sequence-to-Sequence Models for Parsing and Generation , 2017, ACL.
[13] Wei Li,et al. Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons , 2003, CoNLL.
[14] Eric Nichols,et al. Named Entity Recognition with Bidirectional LSTM-CNNs , 2015, TACL.
[15] Yang Liu,et al. Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation , 2015, IJCAI.
[16] Daniel Jurafsky,et al. A Simple, Fast Diverse Decoding Algorithm for Neural Generation , 2016, ArXiv.
[17] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[18] Hermann Ney,et al. From Feedforward to Recurrent LSTM Neural Networks for Language Modeling , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[19] Hua Xu,et al. Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network , 2015, MedInfo.
[20] Masanori Hattori,et al. Character-Based LSTM-CRF with Radical-Level Features for Chinese Named Entity Recognition , 2016, NLPCC/ICCPOL.
[21] Andrew McCallum,et al. Lexicon Infused Phrase Embeddings for Named Entity Resolution , 2014, CoNLL.
[22] Jian Su,et al. Named Entity Recognition using an HMM-based Chunk Tagger , 2002, ACL.
[23] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[24] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[25] Zheng Huang,et al. Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation , 2016, ICONIP.
[26] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[27] Yann Dauphin,et al. Convolutional Sequence to Sequence Learning , 2017, ICML.
[28] Yann Dauphin,et al. A Convolutional Encoder Model for Neural Machine Translation , 2016, ACL.
[29] Samy Bengio,et al. Generating Sentences from a Continuous Space , 2015, CoNLL.
[30] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[31] Katherine A. Keith,et al. Identifying civilians killed by police with distantly supervised entity-event extraction , 2017, EMNLP.
[32] Nanyun Peng,et al. Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning , 2016, ACL.
[33] Hwee Tou Ng,et al. Named Entity Recognition with a Maximum Entropy Approach , 2003, CoNLL.
[34] Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.