Evaluating the Utility of Hand-crafted Features in Sequence Labelling

Improved neural machine translation with a syntax-aware encoder and decoder

Huadong Chen, Shujian Huang, David Chiang, and Jiajun Chen. 2017 · 1945

Earlier work this paper cites.

Conditional random fields: Probabilistic models for segmenting and labeling sequence data

John Lafferty, Andrew McCallum, and Fernando CN Pereira. 2001 · 2001

Earlier work this paper cites.

Named entity recognition: A maximum entropy approach using global information

Hai Leong Chieu and Hwee Tou Ng. 2002 · 2002

Earlier work this paper cites.

Named entity recognition through classifier combination

Radu Florian, Abe Ittycheriah, Hongyan Jing, and Tong Zhang. 2003 · 2003

Earlier work this paper cites.

Introduction to the conll-2003 shared task: Language-independent named entity recognition

Erik F. Tjong Kim Sang and Fien De Meulder. 2003 · 2003

Earlier work this paper cites.

A framework for learning predictive structures from multiple tasks and unlabeled data

Rie Kubota Ando and Tong Zhang. 2005 · 2005

Earlier work this paper cites.

Design challenges and misconceptions in named entity recognition

Lev Ratinov and Dan Roth. 2009 · 2009

Earlier work this paper cites.

Rectified linear units improve restricted boltzmann machines

Vinod Nair and Geoffrey E Hinton. 2010 · 2010

Earlier work this paper cites.

Natural language processing (almost) from scratch

Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011

Earlier work this paper cites.

Efficient estimation of word representations in vector space

Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013a · 2013

Earlier work this paper cites.

Distributed representations of words and phrases and their compositionality

Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013b · 2013

Earlier work this paper cites.

On the difficulty of training recurrent neural networks

Razvan Pascanu, Tomas Mikolov, and Yoshua Bengio. 2013 · 2013

Cited alongside, same era.

Conditional random field autoencoders for unsupervised structured prediction

Waleed Ammar, Chris Dyer, and Noah A Smith. 2014 · 2014

Cited alongside, same era.

On the properties of neural machine translation: Encoder–decoder approaches

Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014a · 2014

Cited alongside, same era.

Learning phrase representations using RNN encoder–decoder for statistical machine translation

Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014b · 2014

Cited alongside, same era.

Lexicon infused phrase embeddings for named entity resolution

Alexandre Passos, Vineet Kumar, and Andrew McCallum. 2014 · 2014

Cited alongside, same era.

GloVe: Global vectors for word representation

Neural architectures for named entity recognition

Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016

Later among the works it cites.

End-to-end sequence labeling via bi-directional lstm-cnns-crf

Xuezhe Ma and Eduard Hovy. 2016 · 2016

Later among the works it cites.

Bag of tricks for efficient text classification

Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2017 · 2017

Later among the works it cites.

Modeling source syntax for neural machine translation

Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, and Guodong Zhou. 2017 · 2017

Later among the works it cites.

Sequence-to-dependency neural machine translation

Shuangzhi Wu, Dongdong Zhang, Nan Yang, Mu Li, and Ming Zhou. 2017 · 2017

Later among the works it cites.

Neural reranking for named entity recognition

Jie Yang, Yue Zhang, and Fei Dong. 2017 · 2017

Later among the works it cites.