FLERT: Document-Level Features for Named Entity Recognition

Portuguese named entity recognition using bert-crf

Original

Fábio Souza, Rodrigo Nogueira, and Roberto Lotufo. 2019 · 1909

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

Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2019 · 1910

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Unsupervised cross-lingual representation learning at scale

Original

Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1911

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Multilingual is not enough: Bert for finnish

Original

Antti Virtanen, Jenna Kanerva, Rami Ilo, Jouni Luoma, Juhani Luotolahti, Tapio Salakoski, Filip Ginter, and Sampo Pyysalo. 2019 · 1912

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Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition

Erik F. Tjong Kim Sang. 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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Glove: Global vectors for word representation

Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014

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Bidirectional LSTM-CRF Models for Sequence Tagging

Original

Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015

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Enriching word vectors with subword information

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

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Contextual string embeddings for sequence labeling

Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018 · 2018

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Deep contextualized word representations

Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018

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A disciplined approach to neural network hyper-parameters: Part 1 – learning rate, batch size, momentum, and weight decay

Original

Leslie N. Smith. 2018 · 2018

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FLAIR: An easy-to-use framework for state-of-the-art NLP

Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, and Roland Vollgraf. 2019a · 2019

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Pooled contextualized embeddings for named entity recognition

Decoupled weight decay regularization

Ilya Loshchilov and Frank Hutter. 2019 · 2019

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Neural architectures for nested NER through linearization

Jana Straková, Milan Straka, and Jan Hajic. 2019 · 2019

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Improve transformer models with better relative position embeddings

Zhiheng Huang, Davis Liang, Peng Xu, and Bing Xiang. 2020 · 2020

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Exploring cross-sentence contexts for named entity recognition with BERT

Jouni Luoma and Sampo Pyysalo. 2020 · 2020

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CCNet: Extracting high quality monolingual datasets from web crawl data

Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, and Edouard Grave. 2020 · 2020

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LUKE: Deep contextualized entity representations with entity-aware self-attention

Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto. 2020 · 2020