Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition

Author:

Zhang Xinghua1,Yu Bowen1,Wang Yubin1,Liu Tingwen1,Su Taoyu1,Xu Hongbo1

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

Publisher

ACM

Reference47 articles.

1. A Multi-task Approach for Named Entity Recognition in Social Media Data

2. David Berthelot , Nicholas Carlini , Ian Goodfellow , Avital Oliver , Nicolas Papernot , and Colin Raffel . 2019 . Mixmatch: A holistic approach to semi-supervised learning . In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Curran Associates, Inc. David Berthelot, Nicholas Carlini, Ian Goodfellow, Avital Oliver, Nicolas Papernot, and Colin Raffel. 2019. Mixmatch: A holistic approach to semi-supervised learning. In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Curran Associates, Inc.

3. Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

4. Data Augmentation for Cross-Domain Named Entity Recognition

5. Few-Shot Event Detection with Prototypical Amortized Conditional Random Field

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1. Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

2. Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

3. Improving Cross-Domain Named Entity Recognition from the Perspective of Representation;Database Systems for Advanced Applications;2023

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