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Word representation is a key component in neural-network-based sequence labeling systems.
Human behavior and the principle of least effort
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Introduction to the conll-2003 shared task: Language-independent named entity recognition
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Part-of-speech tagging for twitter with adversarial neural networks
Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, and Xuanjing Huang · 2017
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Multimodal word meaning induction from minimal exposure to natural text
Angeliki Lazaridou, Marco Marelli, and Marco Baroni · 2017
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Mimicking word embeddings using subword rnns
Yuval Pinter, Robert Guthrie, and Jacob Eisenstein · 2017
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Contextual string embeddings for sequence labeling
Alan Akbik, Duncan Blythe, and Roland Vollgraf · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
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A la carte embedding: Cheap but effective induction of semantic feature vectors
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Deep contextualized word representations
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Adaptive co-attention network for named entity recognition in tweets
Qi Zhang, Jinlan Fu, Xiaoyu Liu, and Xuanjing Huang · 2018
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