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The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new entities belonging to the same semantic class.
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Lightly-supervised representation learning with global interpretability. In Proceedings of the Third Workshop on Structured Prediction for NLP . 18–28
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Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems
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KeyBERT: Minimal keyword extraction with BERT
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Yangning Li, Jiaoyan Chen, Yinghui Li, Tianyu Yu, Xi Chen, and Hai-Tao Zheng. 2022a · 2022
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Automatic Context Pattern Generation for Entity Set Expansion
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Active Relation Discovery: Towards General and Label-aware Open Relation Extraction
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Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking. In Findings of the Association for Computational Linguistics: EMNLP 2022 . Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 238–249
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The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking. In Findings of the Association for Computational Linguistics: ACL 2022 . Association for Computational Linguistics, Dublin, Ireland, 3202–3213
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Are we ready for a new paradigm shift? A survey on visual deep MLP
Ruiyang Liu, Yinghui Li, Linmi Tao, Dun Liang, and Hai-Tao Zheng. 2022 · 2022
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Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction. In Findings of the Association for Computational Linguistics: EMNLP 2022 . Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 576–589
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Visual Named Entity Linking: A New Dataset and A Baseline. In Findings of the Association for Computational Linguistics: EMNLP . 2403–2415
Wen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, and Xueqi Cheng. 2022 · 2022
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WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022 , Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.). Association for Computational Linguistics, 4785–4797
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems
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A Survey of Natural Language Generation
Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, and Min Yang. 2023 · 2023
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From Retrieval to Generation: Efficient and Effective Entity Set Expansion
Shulin Huang, Shirong Ma, Yangning Li, Yinghui Li, Hai-Tao Zheng, and Yong Jiang. 2023 · 2023
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Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment
Yangning Li, Jiaoyan Chen, Yinghui Li, Yuejia Xiang, Xi Chen, and Haitao Zheng. 2023a · 2023
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On the (In)Effectiveness of Large Language Models for Chinese Text Correction
Yinghui Li, Haojing Huang, Shirong Ma, Yong Jiang, Yangning Li, Feng Zhou, Hai-Tao Zheng, and Qingyu Zhou. 2023b · 2023
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Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
Yinghui Li, Yong Jiang, Shen Huang, Xingyu Lu, Yangning Li, Pengjun Xie, Fei Huang, and Hai-Tao Zheng. 2023c · 2023
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Investigating Graph Structure Information for Entity Alignment with Dangling Cases
Jin Xu, Yangning Li, Xiangjin Xie, Yinghui Li, Niu Hu, Haitao Zheng, and Yong Jiang. 2023 · 2023
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