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This work models named entity distribution from a way of visualizing topological structure of embedding space, so that we make an assumption that most, if not all, named entities (NEs) for a language tend to aggregate together to be accommodated by a specific hypersphere in embedding space.
Earth mover’s distance minimization for unsupervised bilingual lexicon induction
Meng Zhang, Yang Liu, Huanbo Luan, and Maosong Sun. 2017 · 1945
Earlier work this paper cites.
Cross-lingual name tagging and linking for 282 languages
Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight, and Heng Ji. 2017 · 1958
Earlier work this paper cites.
The earth mover’s distance under transformation sets
Scott Cohen and L Guibasm. 1999 · 1999
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.
Inducing multilingual text analysis tools via robust projection across aligned corpora
David Yarowsky, Grace Ngai, and Richard Wicentowski. 2001 · 2001
Earlier work this paper cites.
An unsupervised method for word sense tagging using parallel corpora
Mona Diab and Philip Resnik. 2002 · 2002
Earlier work this paper cites.
Named entity recognition for catalan using spanish resources
Xavier Carreras, Lluís Màrquez, and Lluís Padró. 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.
Chinese named entity recognition with conditional random fields
Wenliang Chen, Yujie Zhang, and Hitoshi Isahara. 2006 · 2006
Earlier work this paper cites.
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
Earlier work this paper cites.
Unsupervised segmentation helps supervised learning of character tagging for word segmentation and named entity recognition
Hai Zhao and Chunyu Kit. 2008 · 2008
Earlier work this paper cites.
Mention detection crossing the language barrier
Imed Zitouni and Radu Florian. 2008 · 2008
Earlier work this paper cites.
A hybrid model for annotating named entity training corpora
Robert Voyer, Valerie Nygaard, Will Fitzgerald, and Hannah Copperman. 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
Cited alongside, same era.
Nudging the envelope of direct transfer methods for multilingual named entity recognition
Oscar Täckström. 2012 · 2012
Cited alongside, same era.
One billion word benchmark for measuring progress in statistical language modeling
Ciprian Chelba, Tomas Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, and Tony Robinson. 2013 · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Cited alongside, same era.
Learning multilingual named entity recognition from wikipedia
Joel Nothman, Nicky Ringland, Will Radford, Tara Murphy, and James R Curran. 2013 · 2013
Cited alongside, same era.
Cross-lingual syntactic transfer with limited resources
Mohammad Sadegh Rasooli and Michael Collins. 2016 · 2016
Later among the works it cites.
Named entity recognition using word embedding as a feature
Miran Seok, Hye-Jeong Song, Chan-Young Park, Jong-Dae Kim, and Yu-seop Kim. 2016 · 2016
Later among the works it cites.
Cross-lingual named entity recognition via wikification
Chen-Tse Tsai, Stephen Mayhew, and Dan Roth. 2016 · 2016
Later among the works it cites.
Cross-lingual wikification using multilingual embeddings
Chen-Tse Tsai and Dan Roth. 2016 · 2016
Later among the works it cites.
Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017 · 2017
Later among the works it cites.
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Mengqiu Wang and Christopher D Manning. 2013 · 2013
Cited alongside, same era.
Chinese named entity recognition via joint identification and categorization
Junsheng Zhou, Weiguang Qu, and Fen Zhang. 2013 · 2013
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.
Bidirectional lstm-crf models for sequence tagging
Zhiheng Huang, Wei Xu, and Kai Yu. 2015 · 2015
Cited alongside, same era.
Joint entity recognition and disambiguation
Gang Luo, Xiaojiang Huang, Chin-Yew Lin, and Zaiqing Nie. 2015 · 2015
Cited alongside, same era.
Adapting word2vec to named entity recognition
Scharolta Katharina Sienčnik. 2015 · 2015
Cited alongside, same era.
Character-based lstm-crf with radical-level features for chinese named entity recognition
Chuanhai Dong, Jiajun Zhang, Chengqing Zong, Masanori Hattori, and Hui Di. 2016 · 2016
Cited alongside, same era.
FPTAS for minimizing the earth mover’s distance under rigid transformations and related problems
Hu Ding and Jinhui Xu. 2017 · 2017
Later among the works it cites.
Cheap translation for cross-lingual named entity recognition
Stephen Mayhew, Chen-Tse Tsai, and Dan Roth. 2017 · 2017
Later among the works it cites.
Named entity recognition with gated convolutional neural networks
Chunqi Wang, Wei Chen, and Bo Xu. 2017 · 2017
Later among the works it cites.
Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018 · 2018
Later among the works it cites.
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018 · 2018
Later among the works it cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Later among the works it cites.
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
Learning named entity tagger using domain-specific dictionary
Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, and Jiawei Han. 2018 · 2064
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