Named Entity Recognition and Relation Extraction using Enhanced Table Filling by Contextualized Representations

Huggingface’s transformers: State-of-the-art natural language processing

Original

Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 1910

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.

Kernel methods for relation extraction

Dmitry Zelenko, Chinatsu Aone, and Anthony Richardella. 2003 · 2003

Earlier work this paper cites.

A linear programming formulation for global inference in natural language tasks

Dan Roth and Wen-tau Yih. 2004 · 2004

Earlier work this paper cites.

Exploring various knowledge in relation extraction

GuoDong Zhou, Jian Su, Jie Zhang, and Min Zhang. 2005 · 2005

Earlier work this paper cites.

A survey of named entity recognition and classification

David Nadeau and Satoshi Sekine. 2007 · 2007

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.

Exploiting syntactico-semantic structures for relation extraction

Yee Seng Chan and Dan Roth. 2011 · 2011

Earlier work this paper cites.

Conll-2012 shared task: Modeling multilingual unrestricted coreference in ontonotes

Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, and Yuchen Zhang. 2012 · 2012

Earlier work this paper cites.

Incremental joint extraction of entity mentions and relations

Qi Li and Heng Ji. 2014 · 2014

Earlier work this paper cites.

Modeling joint entity and relation extraction with table representation

Makoto Miwa and Yutaka Sasaki. 2014 · 2014

Cited alongside, same era.

Table filling multi-task recurrent neural network for joint entity and relation extraction

Pankaj Gupta, Hinrich Schütze, and Bernt Andrassy. 2016 · 2016

Cited alongside, same era.

End-to-end relation extraction using LSTMs on sequences and tree structures

Makoto Miwa and Mohit Bansal. 2016 · 2016

Cited alongside, same era.

Deep biaffine attention for neural dependency parsing

Timothy Dozat and Christopher D. Manning. 2017 · 2017

Cited alongside, same era.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Cited alongside, same era.

End-to-end neural relation extraction with global optimization

Meishan Zhang, Yue Zhang, and Guohong Fu. 2017 · 2017

Entity-relation extraction as multi-turn question answering

Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, and Jiwei Li. 2019 · 2019

Later among the works it cites.

GCDT: A global context enhanced deep transition architecture for sequence labeling

Yijin Liu, Fandong Meng, Jinchao Zhang, Jinan Xu, Yufeng Chen, and Jie Zhou. 2019 · 2019

Later among the works it cites.

Decoupled weight decay regularization

Ilya Loshchilov and Frank Hutter. 2019 · 2019

Later among the works it cites.

A general framework for information extraction using dynamic span graphs

Yi Luan, Dave Wadden, Luheng He, Amy Shah, Mari Ostendorf, and Hannaneh Hajishirzi. 2019 · 2019

Later among the works it cites.

End-to-end neural relation extraction using deep biaffine attention

Dat Quoc Nguyen and Karin Verspoor. 2019 · 2019

Later among the works it cites.

Pytorch: An imperative style, high-performance deep learning library