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1
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ...
Gui, Tao; Wang, Xiao; Zhang, Qi. - : arXiv, 2021
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2
SpanNER: Named Entity Re-/Recognition as Span Prediction ...
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3
Align Voting Behavior with Public Statements for Legislator Representation Learning ...
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4
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP ...
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5
{K-Adapter}: {I}nfusing {K}nowledge into {P}re-{T}rained {M}odels with {A}dapters ...
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6
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ...
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7
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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8
Classifying Dyads for Militarized Conflict Analysis
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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9
Efficient Sampling of Dependency Structure
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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10
Searching for More Efficient Dynamic Programs
In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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11
“Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding
In: Findings of the Association for Computational Linguistics: EMNLP 2021 (2021)
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12
A Bayesian Framework for Information-Theoretic Probing
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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13
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation
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14
Come hither or go away? Recognising pre-electoral coalition signals in the news
Rehbein, Ines; Ponzetto, Simone Paolo; Adendorf, Anna. - : Association for Computational Linguistics, 2021
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15
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters ...
Wang, Ruize; Tang, Duyu; Duan, Nan. - : arXiv, 2020
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16
FLAT: Chinese NER Using Flat-Lattice Transformer ...
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 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2004.11795
https://dx.doi.org/10.48550/arxiv.2004.11795
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17
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 78-92 (2020) (2020)
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18
Chinese computational linguistics : 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019 : proceedings
Liu, Zhiyuan (Herausgeber); Jiang, Heng (Herausgeber); Liu, Yang (Herausgeber). - Cham, Switzerland : Springer, 2019
BLLDB
UB Frankfurt Linguistik
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19
GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge ...
Huang, Luyao; Sun, Chi; Qiu, Xipeng. - : arXiv, 2019
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20
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ...
Peng, Minlong; Xing, Xiaoyu; Zhang, Qi. - : arXiv, 2019
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