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TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ...
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SpanNER: Named Entity Re-/Recognition as Span Prediction ...
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Align Voting Behavior with Public Statements for Legislator Representation Learning ...
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fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP ...
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{K-Adapter}: {I}nfusing {K}nowledge into {P}re-{T}rained {M}odels with {A}dapters ...
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Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ...
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Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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Classifying Dyads for Militarized Conflict Analysis
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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Efficient Sampling of Dependency Structure
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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Searching for More Efficient Dynamic Programs
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In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding
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In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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A Bayesian Framework for Information-Theoretic Probing
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation
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Come hither or go away? Recognising pre-electoral coalition signals in the news
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K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters ...
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FLAT: Chinese NER Using Flat-Lattice Transformer ...
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Abstract:
Recently, the character-word lattice structure has been proved to be effective for Chinese named entity recognition (NER) by incorporating the word information. However, since the lattice structure is complex and dynamic, most existing lattice-based models are hard to fully utilize the parallel computation of GPUs and usually have a low inference-speed. In this paper, we propose FLAT: Flat-LAttice Transformer for Chinese NER, which converts the lattice structure into a flat structure consisting of spans. Each span corresponds to a character or latent word and its position in the original lattice. With the power of Transformer and well-designed position encoding, FLAT can fully leverage the lattice information and has an excellent parallelization ability. Experiments on four datasets show FLAT outperforms other lexicon-based models in performance and efficiency. ... : Accepted to the ACL 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2004.11795 https://dx.doi.org/10.48550/arxiv.2004.11795
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A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 78-92 (2020) (2020)
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GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge ...
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Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ...
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