Fetching the paper…
Reading the bibliography…
Existing approaches for named entity recognition suffer from data sparsity problems when conducted on short and informal texts, especially user-generated social media content.
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, and Yonggang Wang. 2019 · 1911
Earlier work this paper cites.
TENER: Adapting Transformer Encoder for Named Entity Recognition
Hang Yan, Bocao Deng, Xiaonan Li, and Xipeng Qiu. 2019 · 1911
Earlier work this paper cites.
Named Entity Recognition in Tweets: An Experimental Study
Alan Ritter, Sam Clark, Mausam, and Oren Etzioni. 2011 · 2011
Earlier work this paper cites.
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Earlier work this paper cites.
A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation
Yan Song and Fei Xia. 2013 · 2013
Earlier work this paper cites.
The Stanford Corenlp Natural Language Processing Toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Rose Finkel, Steven Bethard, and David McClosky. 2014 · 2014
Earlier work this paper cites.
Glove: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
Nanyun Peng and Mark Dredze. 2015 · 2015
Earlier work this paper cites.
Neural Architectures for Named Entity Recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
Earlier work this paper cites.
Results of the WNUT16 Named Entity Recognition Shared Task
Benjamin Strauss, Bethany Toma, Alan Ritter, Marie-Catherine de Marneffe, and Wei Xu. 2016 · 2016
Earlier work this paper cites.
A Multi-task Approach for Named Entity Recognition in Social Media Data
Gustavo Aguilar, Suraj Maharjan, Adrián Pastor López-Monroy, and Thamar Solorio. 2017 · 2017
Earlier work this paper cites.
Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition
Leon Derczynski, Eric Nichols, Marieke van Erp, and Nut Limsopatham. 2017 · 2017
Earlier work this paper cites.
Learning Word Representations with Regularization from Prior Knowledge
Yan Song, Chia-Jung Lee, and Fei Xia. 2017 · 2017
Cited alongside, same era.
Contextual String Embeddings for Sequence Labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018 · 2018
Cited alongside, same era.
Knowledge-Enriched Two-Layered Attention Network for Sentiment Analysis
Abhishek Kumar, Daisuke Kawahara, and Sadao Kurohashi. 2018 · 2018
Cited alongside, same era.
Deep Contextualized Word Representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song, Shuming Shi, Jing Li, and Haisong Zhang. 2018b · 2018
Cited alongside, same era.
Chinese NER Using Lattice LSTM
Yue Zhang and Jie Yang. 2018 · 2018
Attention-based Conditioning Methods for External Knowledge Integration
Katerina Margatina, Christos Baziotis, and Alexandros Potamianos. 2019 · 2019
Later among the works it cites.
Joint Learning of Named Entity Recognition and Entity Linking
Pedro Henrique Martins, Zita Marinho, and André F. T. Martins. 2019 · 2019
Later among the works it cites.
Glyce: Glyph-vectors for Chinese Character Representations
Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin, Muyu Li, Qinghong Han, Xiaofei Sun, and Jiwei Li. 2019 · 2019
Later among the works it cites.
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, and Xueqi Cheng. 2019 · 2019
Later among the works it cites.
Mining Discourse Markers for Unsupervised Sentence Representation Learning
Damien Sileo, Tim Van De Cruys, Camille Pradel, and Philippe Muller. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Pooled Contextualized Embeddings for Named Entity Recognition
Alan Akbik, Tanja Bergmann, and Roland Vollgraf. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
CNN-Based Chinese NER with Lexicon Rethinking
Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, and Xuanjing Huang. 2019 · 2019
Cited alongside, same era.
Dependency-Guided LSTM-CRF for Named Entity Recognition
Zhanming Jie and Wei Lu. 2019 · 2019
Cited alongside, same era.
Syntax-aware Neural Semantic Role Labeling with Supertags
Jungo Kasai, Dan Friedman, Robert Frank, Dragomir R. Radev, and Owen Rambow. 2019 · 2019
Cited alongside, same era.
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information
Seonhoon Kim, Inho Kang, and Nojun Kwak. 2019 · 2019
Cited alongside, same era.
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, and Shengping Liu. 2019 · 2019
Later among the works it cites.
Exploiting Multiple Embeddings for Chinese Named Entity Recognition
Canwen Xu, Feiyang Wang, Jialong Han, and Chenliang Li. 2019 · 2019
Later among the works it cites.
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, and Kenneth Kwok. 2019 · 2019
Later among the works it cites.
CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition
Yuying Zhu and Guoxin Wang. 2019 · 2019
Later among the works it cites.
Data Augmentation using Machine Translation for Fake News Detection in the Urdu Ulanguage
Maaz Amjad, Grigori Sidorov, and Alisa Zhila. 2020 · 2020
Closest in time.
Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
Yuanhe Tian, Yan Song, and Fei Xia. 2020b · 2020
Closest in time.
Improving Constituency Parsing with Span Attention
Yuanhe Tian, Yan Song, Fei Xia, and Tong Zhang. 2020c · 2020
Closest in time.