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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 ...
Li, Xiaonan; Yan, Hang; Qiu, Xipeng. - : arXiv, 2020
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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 ...
Abstract: In this work, we explore the way to perform named entity recognition (NER) using only unlabeled data and named entity dictionaries. To this end, we formulate the task as a positive-unlabeled (PU) learning problem and accordingly propose a novel PU learning algorithm to perform the task. We prove that the proposed algorithm can unbiasedly and consistently estimate the task loss as if there is fully labeled data. A key feature of the proposed method is that it does not require the dictionaries to label every entity within a sentence, and it even does not require the dictionaries to label all of the words constituting an entity. This greatly reduces the requirement on the quality of the dictionaries and makes our method generalize well with quite simple dictionaries. Empirical studies on four public NER datasets demonstrate the effectiveness of our proposed method. We have published the source code at \url{https://github.com/v-mipeng/LexiconNER}. ... : to appear at ACL 2019 (revise expression of equation (4)) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/1906.01378
https://dx.doi.org/10.48550/arxiv.1906.01378
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