2021ACL 命名实体识别论文汇总

Posted 2022-01-28 2016bits

2021 ACL已接受论文网址：ACL-IJCNLP 2021

命名实体识别论文汇总：

1、Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data

论文链接：https://arxiv.org/abs/2106.08977

2、Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition

论文链接：https://arxiv.org/abs/2105.06804

3、Subsequence Based Deep Active Learning for Named Entity Recognition

论文链接：https://www.researchgate.net/profile/Aldo-Lipani/publication/351885762_Subsequence_Based_Deep_Active_Learning_for_Named_Entity_Recognition/links/60aed5b8458515bfb0a6893a/Subsequence-Based-Deep-Active-Learning-for-Named-Entity-Recognition.pdf

4、BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition

论文链接：https://arxiv.org/abs/2105.12848

5、Few-NERD: A Few-shot Named Entity Recognition Dataset

论文链接：https://arxiv.org/abs/2105.07464

6、Modularized Interaction Network for Named Entity Recognition

论文链接：https://personal.ntu.edu.sg/wang_zheng/paper/ACL2021.pdf

7、A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

论文链接：https://arxiv.org/abs/2106.14373

8、An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization

论文链接：https://aclanthology.org/2021.acl-long.485.pdf

9、Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

论文链接：https://arxiv.org/abs/2105.03654

10、Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification

论文链接：https://aclanthology.org/2021.acl-long.120.pdf

11、Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition

论文链接：https://arxiv.org/abs/2106.15167

12、Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path

论文链接：https://aclanthology.org/2021.acl-long.275.pdf

13、MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition

论文链接：https://arxiv.org/abs/2107.05418

14、De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention

论文链接：https://arxiv.org/abs/2106.09233

15、Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition

论文链接：https://arxiv.org/abs/2105.14980

16、Discontinuous Named Entity Recognition as Maximal Clique Discovery

论文链接：https://arxiv.org/abs/2106.00218

17、Weakly Supervised Named Entity Tagging with Learnable Logical Rules

论文链接：https://arxiv.org/abs/2107.02282

18、SpanNER: Named Entity Re-/Recognition as Span Prediction

论文链接：https://arxiv.org/abs/2106.00641

19、A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization

论文链接：https://aclanthology.org/2021.acl-long.219.pdf

20、Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition

论文链接：https://aclanthology.org/2021.acl-short.4.pdf

21、Improving Model Generalization: A Chinese Named Entity Recognition Case Study

论文链接：https://aclanthology.org/2021.acl-short.125.pdf

22、Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition

论文链接：https://aclanthology.org/2021.acl-short.93.pdf

23、Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition

论文链接：https://aclanthology.org/2021.findings-acl.140.pdf

24、Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training

论文链接：https://aclanthology.org/2021.findings-acl.143.pdf

25、Template-Based Named Entity Recognition Using BART

论文链接：https://arxiv.org/abs/2106.01760

26、Named Entity Recognition through Deep Representation Learning and Weak Supervision

论文链接：https://aclanthology.org/2021.findings-acl.335.pdf

27、The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English

论文链接：https://aclanthology.org/2021.findings-acl.349.pdf

28、Constrained Labeled Data Generation for Low-Resource Named Entity Recognition

论文链接：https://aclanthology.org/2021.findings-acl.396.pdf

29、Named Entity Recognition via Noise Aware Training Mechanism with Data Filter

论文链接：https://aclanthology.org/2021.findings-acl.423.pdf

30、A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

论文链接：https://aclanthology.org/2021.findings-acl.424.pdf

31、Cross-Lingual Cross-Domain Nested Named Entity Evaluation on English Web Texts

论文链接：https://aclanthology.org/2021.findings-acl.158.pdf