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Disambiguation of "Wu, Yunfang"

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How to Ask Good Questions? Try to Leverage Paraphrases.

, , , and . ACL, page 6130-6140. Association for Computational Linguistics, (2020)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche Chromatographie. Uni Erlangen-Nürnberg, (2009)

Changzhu Wu

Yinghua Wu

Jinjin Wu

Haiyan Wu

 

Other publications of authors with the same name

Document-Based Question Answering Improves Query-Focused Multi-document Summarization., , , , and . NLPCC (2), volume 11839 of Lecture Notes in Computer Science, page 41-52. Springer, (2019)Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task., and . CoRR, (2023)SemEval-2012 Task 4: Evaluating Chinese Word Similarity., and . SemEval@NAACL-HLT, page 374-377. The Association for Computer Linguistics, (2012)Focus-Driven Contrastive Learning for Medical Question Summarization., , , and . COLING, page 6176-6186. International Committee on Computational Linguistics, (2022)From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction., and . EMNLP (Findings), page 889-902. Association for Computational Linguistics, (2022)Question-type Driven Question Generation., , and . EMNLP/IJCNLP (1), page 6031-6036. Association for Computational Linguistics, (2019)Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks., , , , , and . AAAI, page 9180-9189. AAAI Press, (2022)ICL00 at the NTCIR-12 STC Task: Semantic-based Retrieval Method of Short Texts., , and . NTCIR, National Institute of Informatics (NII), (2016)Task-Related Pretraining with Whole Word Masking for Chinese Coherence Evaluation., , , and . NLPCC (3), volume 14304 of Lecture Notes in Computer Science, page 314-322. Springer, (2023)Research on Entity Relation Extraction for Military Field., , , and . PACLIC, Association for Computational Linguistics, (2018)