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Cross-domain named entity recognition (NER) models are able to cope with the scarcity issue of NER samples in target domains.
Cross-lingual language model pretraining
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LakhNES: Improving multi-instrumental music generation with cross-domain pre-training
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A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Hashimoto, K.; Xiong, C.; Tsuruoka, Y.; and Socher, R. 2017 · 1933
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Long short-term memory
Hochreiter, S.; and Schmidhuber, J. 1997 · 1997
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Visual attention model for name tagging in multimodal social media
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Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
Tjong Kim Sang, E. F.; and De Meulder, F. 2003 · 2003
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Comprehensive named entity recognition on cord-19 with distant or weak supervision
Wang, X.; Song, X.; Guan, Y.; Li, B.; and Han, J. 2020 · 2003
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Tod-bert: Pre-trained natural language understanding for task-oriented dialogues
Wu, C.-S.; Hoi, S.; Socher, R.; and Xiong, C. 2020 · 2004
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Frustratingly Easy Domain Adaptation
Daumé III, H. 2007 · 2007
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Annotating large email datasets for named entity recognition with mechanical turk
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DBpedia: A Multilingual Cross-domain Knowledge Base
Mendes, P. N.; Jakob, M.; and Bizer, C. 2012 · 2012
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CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes
Pradhan, S.; Moschitti, A.; Xue, N.; Uryupina, O.; and Zhang, Y. 2012 · 2012
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Overview of BioNLP shared task 2013
Nédellec, C.; Bossy, R.; Kim, J.-D.; Kim, J.-J.; Ohta, T.; Pyysalo, S.; and Zweigenbaum, P. 2013 · 2013
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Glove: Global vectors for word representation
Pennington, J.; Socher, R.; and Manning, C. D. 2014 · 2014
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New transfer learning techniques for disparate label sets
Kim, Y.-B.; Stratos, K.; Sarikaya, R.; and Jeong, M. 2015 · 2015
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Named Entity Recognition with Bidirectional LSTM-CNNs
Chiu, J. P.; and Nichols, E. 2016 · 2016
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Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
Derczynski, L.; Bontcheva, K.; and Roberts, I. 2016 · 2016
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Character-based LSTM-CRF with radical-level features for Chinese named entity recognition
Dong, C.; Zhang, J.; Zong, C.; Hattori, M.; and Di, H. 2016 · 2016
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Neural Architectures for Named Entity Recognition
Lample, G.; Ballesteros, M.; Subramanian, S.; Kawakami, K.; and Dyer, C. 2016 · 2016
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End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Ma, X.; and Hovy, E. 2016 · 2016
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Results of the wnut16 named entity recognition shared task
Strauss, B.; Toma, B.; Ritter, A.; De Marneffe, M.-C.; and Xu, W. 2016 · 2016
SciBERT: A Pretrained Language Model for Scientific Text
Beltagy, I.; Lo, K.; and Cohan, A. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Cross-domain NER using cross-domain language modeling
Jia, C.; Liang, X.; and Zhang, Y. 2019 · 2019
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Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables
Liu, Z.; Shin, J.; Xu, Y.; Winata, G. I.; Xu, P.; Madotto, A.; and Fung, P. 2019 · 2019
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Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Gururangan, S.; Marasović, A.; Swayamdipta, S.; Lo, K.; Beltagy, I.; Downey, D.; and Smith, N. A. 2020 · 2020
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Multi-Cell Compositional LSTM for NER Domain Adaptation
Jia, C.; and Zhang, Y. 2020 · 2020
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Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Yang, Z.; Salakhutdinov, R.; and Cohen, W. W. 2017 · 2017
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Unsupervised Neural Machine Translation
Artetxe, M.; Labaka, G.; Agirre, E.; and Cho, K. 2018 · 2018
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Unsupervised Machine Translation Using Monolingual Corpora Only
Lample, G.; Conneau, A.; Denoyer, L.; and Ranzato, M. 2018 · 2018
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Transfer Learning for Named-Entity Recognition with Neural Networks
Lee, J. Y.; Dernoncourt, F.; and Szolovits, P. 2018 · 2018
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Effective use of bidirectional language modeling for transfer learning in biomedical named entity recognition
Sachan, D. S.; Xie, P.; Sachan, M.; and Xing, E. P. 2018 · 2018
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Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition
Wang, Z.; Qu, Y.; Chen, L.; Shen, J.; Zhang, W.; Zhang, S.; Gao, Y.; Gu, G.; Chen, K.; and Yu, Y. 2018 · 2018
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SpanBERT: Improving Pre-training by Representing and Predicting Spans
Joshi, M.; Chen, D.; Liu, Y.; Weld, D. S.; Zettlemoyer, L.; and Levy, O. 2020 · 2020
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Lee, J.; Yoon, W.; Kim, S.; Kim, D.; Kim, S.; So, C. H.; and Kang, J. 2020 · 2020
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Zero-Resource Cross-Domain Named Entity Recognition
Liu, Z.; Winata, G. I.; and Fung, P. 2020 · 2020
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Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
Liu, Z.; Winata, G. I.; Xu, P.; Lin, Z.; and Fung, P. 2020c · 2020
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Multi-domain named entity recognition with genre-aware and agnostic inference
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IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding
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Learning Fast Adaptation on Cross-Accented Speech Recognition
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Neural Adaptation Layers for Cross-domain Named Entity Recognition
Lin, B. Y.; and Lu, W. 2018 · 2022
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