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Journal Articles
- 2023
[j7]Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
ASAT: Adaptively scaled adversarial training in time series. Neurocomputing 522: 11-23 (2023)- 2022
- [j6]Yi Zhang
, Lei Li, Yunfang Wu, Qi Su, Xu Sun:
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 594-604 (2022) - 2016
- [j5]Xinqi Bao, Yunfang Wu:
A Tensor Neural Network with Layerwise Pretraining: Towards Effective Answer Retrieval. J. Comput. Sci. Technol. 31(6): 1151-1160 (2016) - 2013
- [j4]Yunfang Wu, Peng Jin:
SemEval-2010 task 18: disambiguating sentiment ambiguous adjectives. Lang. Resour. Evaluation 47(3): 743-755 (2013) - 2008
- [j3]Weiguang Qu, Sujian Li, Xiaojun Zhang, Yunfang Wu, Zhifang Sui, Shiwen Yu:
A WSD Model for Corpus Construction. Int. J. Comput. Process. Orient. Lang. 21(1): 43-53 (2008) - 2005
- [j2]Yun Li, Sujian Li, Zhimin Wang, Yunfang Wu:
隱喻性成語的語義映射 (Semantic Mapping in Chinese Metaphorical Idioms). Int. J. Comput. Linguistics Chin. Lang. Process. 10(4) (2005) - [j1]Yunfang Wu, Sujian Li, Yun Li, Shiwen Yu:
双向考察和驗證：并列成分中心語的語義關係和CCD的名詞語義分類体系 (Bidirectional Investigation: The Semantic Relations between the Conjuncts and the Noun Taxonomy in CCD). Int. J. Comput. Linguistics Chin. Lang. Process. 10(4) (2005)
Conference and Workshop Papers
- 2024
- [c68]Fanyi Qu, Hao Sun, Yunfang Wu:
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding. ACL (Findings) 2024: 827-838 - [c67]Wenbiao Li, Rui Sun, Tianyi Zhang, Yunfang Wu:
Going Beyond Passages: Readability Assessment for Book-Level Long Texts. CCL 2024: 434-450 - [c66]Zichen Wu, Hsiu-Yuan Huang, Fanyi Qu, Yunfang Wu:
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding. LREC/COLING 2024: 11381-11393 - [c65]Ming Zhang, Ke Chang, Yunfang Wu:
Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment. LREC/COLING 2024: 11934-11943 - [c64]Sanwoo Lee, Yida Cai, Desong Meng, Ziyang Wang, Yunfang Wu:
Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring. EMNLP (Findings) 2024: 181-198 - [c63]Chenming Tang, Zhixiang Wang, Yunfang Wu:
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation. EMNLP 2024: 9956-9971 - [c62]Ziyang Wang, Sanwoo Lee, Hsiu-Yuan Huang, Yunfang Wu:
FPT: Feature Prompt Tuning for Few-shot Readability Assessment. NAACL-HLT 2024: 280-295 - [c61]Chenming Tang, Fanyi Qu, Yunfang Wu:
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction. NAACL-HLT 2024: 1758-1770 - 2023
- [c60]Chenming Tang, Xiuyu Wu, Yunfang Wu:
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? ACL (2) 2023: 893-901 - [c59]Ziyang Wang, Sanwoo Lee, Yida Cai, Yunfang Wu:
Task-Related Pretraining with Whole Word Masking for Chinese Coherence Evaluation. NLPCC (3) 2023: 314-322 - [c58]Fanyi Qu, Che Wang, Yunfang Wu:
Accurate, Diverse and Multiple Distractor Generation with Mixture of Experts. NLPCC (1) 2023: 761-773 - 2022
- [c57]Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun:
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks. AAAI 2022: 9180-9189 - [c56]Xiuyu Wu, Jingsong Yu, Xu Sun, Yunfang Wu:
Position Offset Label Prediction for Grammatical Error Correction. COLING 2022: 5409-5418 - [c55]Ming Zhang, Shuai Dou, Ziyang Wang, Yunfang Wu:
Focus-Driven Contrastive Learning for Medical Question Summarization. COLING 2022: 6176-6186 - [c54]Zichen Wu, Xin Jia, Fanyi Qu, Yunfang Wu:
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation. COLING 2022: 6564-6574 - [c53]Xiuyu Wu, Yunfang Wu:
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction. EMNLP (Findings) 2022: 889-902 - [c52]Rui Sun, Xiuyu Wu, Yunfang Wu:
An Error-Guided Correction Model for Chinese Spelling Error Correction. EMNLP (Findings) 2022: 3800-3810 - [c51]Wenbiao Li, Ziyang Wang, Yunfang Wu:
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss. EMNLP 2022: 7446-7457 - [c50]Wenbiao Li, Rui Sun, Yunfang Wu:
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models. NLPCC (1) 2022: 3-15 - 2021
- [c49]Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu:
EQG-RACE: Examination-Type Question Generation. AAAI 2021: 13143-13151 - [c48]Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu:
Query-Variant Advertisement Text Generation with Association Knowledge. CIKM 2021: 412-421 - [c47]Xin Jia, Hao Wang, Dawei Yin, Yunfang Wu:
Enhancing Question Generation with Commonsense Knowledge. CCL 2021: 145-160 - [c46]Fanyi Qu, Xin Jia, Yunfang Wu:
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data. EMNLP (1) 2021: 2583-2593 - [c45]Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. IJCAI 2021: 3764-3770 - [c44]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. WWW 2021: 3512-3523 - 2020
- [c43]Xiaorui Zhou, Senlin Luo, Yunfang Wu:
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension. AAAI 2020: 9725-9732 - [c42]Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu:
How to Ask Good Questions? Try to Leverage Paraphrases. ACL 2020: 6130-6140 - [c41]Xiuyu Wu, Nan Jiang, Yunfang Wu:
A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation. NGT@ACL 2020: 69-78 - [c40]Weikang Li, Yunfang Wu:
Exploiting WordNet Synset and Hypernym Representations for Answer Selection. AACL/IJCNLP 2020: 106-115 - 2019
- [c39]Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun:
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model. ACL (1) 2019: 4843-4852 - [c38]Wenjie Zhou, Minghua Zhang, Yunfang Wu:
Multi-Task Learning with Language Modeling for Question Generation. EMNLP/IJCNLP (1) 2019: 3392-3397 - [c37]Wenjie Zhou, Minghua Zhang, Yunfang Wu:
Question-type Driven Question Generation. EMNLP/IJCNLP (1) 2019: 6031-6036 - [c36]Weikang Li, Xingxing Zhang, Yunfang Wu, Furu Wei, Ming Zhou:
Document-Based Question Answering Improves Query-Focused Multi-document Summarization. NLPCC (2) 2019: 41-52 - 2018
- [c35]Weikang Li, Wei Li, Yunfang Wu:
A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy. AAAI 2018: 604-611 - [c34]Minghua Zhang, Yunfang Wu:
An Unsupervised Model With Attention Autoencoders for Question Retrieval. AAAI 2018: 4978-4986 - [c33]Minghua Zhang, Yunfang Wu, Weikang Li, Wei Li:
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. EMNLP 2018: 4514-4523 - [c32]Chen Liang, Hongying Zan, Yajun Liu, Yunfang Wu:
Research on Entity Relation Extraction for Military Field. PACLIC 2018 - 2017
- [c31]Wei Li, Yunfang Wu:
Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering. CCL 2017: 287-294 - [c30]Xinqi Bao, Yunfang Wu:
Exploiting Explicit Matching Knowledge with Long Short-Term Memory. CCL 2017: 306-317 - [c29]Yunfang Wu, Minghua Zhang:
Overview of the NLPCC 2017 Shared Task: Chinese Word Semantic Relation Classification. NLPCC 2017: 919-925 - 2016
- [c28]Xinqi Bao, Yunfang Wu, Xueqiang Lv:
A New Focus Strategy for Efficient Dialog Management. CCL 2016: 267-281 - [c27]Wei Li, Yunfang Wu:
Multi-level Gated Recurrent Neural Network for dialog act classification. COLING 2016: 1970-1979 - [c26]Wei Li, Yunfang Wu, Xueqiang Lv:
Improving Word Vector with Prior Knowledge in Semantic Dictionary. NLPCC/ICCPOL 2016: 461-469 - [c25]Yunfang Wu, Wei Li:
Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Similarity Measurement. NLPCC/ICCPOL 2016: 828-839 - [c24]Weikang Li, Yixiu Wang, Yunfang Wu:
ICL00 at the NTCIR-12 STC Task: Semantic-based Retrieval Method of Short Texts. NTCIR 2016 - [c23]Yunfang Wu, Minghua Zhang:
ICL00 at SemEval-2016 Task 3: Translation-Based Method for CQA System. SemEval@NAACL-HLT 2016: 857-860 - 2015
- [c22]Lin Miao, Xueqiang Lv, Yunfang Wu, Yue Wang:
Research on Semantic Disambiguation in Treebank. APWeb 2015: 658-669 - [c21]Fei Wang, Yunfang Wu:
Sentiment-Bearing New Words Mining: Exploiting Emoticons and Latent Polarities. CICLing (2) 2015: 166-179 - [c20]Yixiu Wang, Yunfang Wu, Xueqiang Lv:
Multi-sentence Question Segmentation and Compression for Question Answering. NLPCC 2015: 475-483 - 2013
- [c19]Yifeng Xu, Yunfang Wu:
Chinese Discourse Relation Recognition Using Parallel Corpus. CIS 2013: 424-427 - [c18]Fei Wang, Yunfang Wu:
Exploiting Hierarchical Discourse Structure for Review Sentiment Analysis. IALP 2013: 121-124 - 2012
- [c17]Fei Wang, Yunfang Wu:
Mining Market Trend from Blog Titles Based on Lexical Semantic Similarity. CICLing (2) 2012: 261-273 - [c16]Fei Wang, Yunfang Wu, Likun Qiu:
Exploiting Discourse Relations for Sentiment Analysis. COLING (Posters) 2012: 1311-1320 - [c15]Peng Jin, Yunfang Wu:
SemEval-2012 Task 4: Evaluating Chinese Word Similarity. SemEval@NAACL-HLT 2012: 374-377 - 2011
- [c14]Likun Qiu, Yunfang Wu, Yanqiu Shao:
Combining Contextual and Structural Information for Supersense Tagging of Chinese Unknown Words. CICLing (1) 2011: 15-28 - [c13]Peng Jin, John Carroll, Yunfang Wu, Diana McCarthy:
Improved Word Similarity Computation for Chinese Using Sub-word Information. CIS 2011: 459-462 - [c12]Likun Qiu, Yunfang Wu, Jing Shi, Yanqiu Shao, Zhiyi Long:
Induction of Semantic Classes Based on Coordinate Patterns. Web Intelligence/IAT Workshops 2011: 201-204 - [c11]Miaomiao Wen, Yunfang Wu:
Mining the Sentiment Expectation of Nouns Using Bootstrapping Method. IJCNLP 2011: 1423-1427 - 2010
- [c10]Yunfang Wu, Miaomiao Wen:
Disambiguating Dynamic Sentiment Ambiguous Adjectives. COLING 2010: 1191-1199 - [c9]Yunfang Wu, Peng Jin:
SemEval-2010 Task 18: Disambiguating Sentiment Ambiguous Adjectives. SemEval@ACL 2010: 81-85 - [c8]Peng Jin, Yunfang Wu:
SemEval-2 Task 15: Infrequent Sense Identification for Mandarin Text to Speech Systems. SemEval@ACL 2010: 87 - 2008
- [c7]Peng Jin, Fuxin Li, Danqing Zhu, Yunfang Wu, Shiwen Yu:
Exploiting external knowledge sources to improve kernel-based Word Sense Disambiguation. NLPKE 2008: 1-8 - [c6]Yunfang Wu, Miao Wang, Peng Jin:
Disambiguating sentiment ambiguous adjectives. NLPKE 2008: 1-8 - 2007
- [c5]Yunfang Wu, Peng Jin, Tao Guo, Shiwen Yu:
Building Chinese Sense Annotated Corpus with the Help of Software Tools. LAW@ACL 2007: 125-131 - [c4]Peng Jin, Xu Sun, Yunfang Wu, Shiwen Yu:
Word Clustering for Collocation-Based Word Sense Disambiguation. CICLing 2007: 267-274 - [c3]Peng Jin, Yunfang Wu, Shiwen Yu:
SemEval-2007 Task 05: Multilingual Chinese-English Lexical Sample. SemEval@ACL 2007: 19-23 - [c2]Peng Jin, Danqing Zhu, Fuxin Li, Yunfang Wu:
PKU: Combining Supervised Classifiers with Features Selection. SemEval@ACL 2007: 261-263 - 2006
- [c1]Yunfang Wu, Peng Jin, Yangsen Zhang, Shiwen Yu:
A Chinese Corpus with Word Sense Annotation. ICCPOL 2006: 414-421
Editorship
- 2018
- [e1]Yunfang Wu, Jia-Fei Hong, Qi Su:
Chinese Lexical Semantics - 18th Workshop, CLSW 2017, Leshan, China, May 18-20, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10709, Springer 2018, ISBN 978-3-319-73572-6 [contents]
Informal and Other Publications
- 2024
- [i40]Ming Zhang, Ke Chang, Yunfang Wu:
Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment. CoRR abs/2403.06355 (2024) - [i39]Zichen Wu, Hsiu-Yuan Huang, Fanyi Qu, Yunfang Wu:
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding. CoRR abs/2403.11311 (2024) - [i38]Chenming Tang, Fanyi Qu, Yunfang Wu:
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction. CoRR abs/2403.19283 (2024) - [i37]Ziyang Wang, Sanwoo Lee, Hsiu-Yuan Huang, Yunfang Wu:
FPT: Feature Prompt Tuning for Few-shot Readability Assessment. CoRR abs/2404.02772 (2024) - [i36]Sanwoo Lee, Yida Cai, Desong Meng, Ziyang Wang, Yunfang Wu:
Prompting Large Language Models for Zero-shot Essay Scoring via Multi-trait Specialization. CoRR abs/2404.04941 (2024) - [i35]Fanyi Qu, Hao Sun, Yunfang Wu:
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding. CoRR abs/2406.01306 (2024) - [i34]Yida Cai, Hao Sun, Hsiu-Yuan Huang, Yunfang Wu:
Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks. CoRR abs/2406.02079 (2024) - [i33]Chenming Tang, Zhixiang Wang, Yunfang Wu:
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation. CoRR abs/2408.04872 (2024) - [i32]Chenming Tang, Zhixiang Wang, Yunfang Wu:
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions. CoRR abs/2408.08780 (2024) - [i31]Ke Chang, Hao Li, Junzhao Zhang, Yunfang Wu:
NYK-MS: A Well-annotated Multi-modal Metaphor and Sarcasm Understanding Benchmark on Cartoon-Caption Dataset. CoRR abs/2409.01037 (2024) - [i30]Hsiu-Yuan Huang, Yutong Yang, Zhaoxi Zhang, Sanwoo Lee, Yunfang Wu:
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice. CoRR abs/2410.15326 (2024) - 2023
- [i29]Rui Sun, Xiuyu Wu, Yunfang Wu:
An Error-Guided Correction Model for Chinese Spelling Error Correction. CoRR abs/2301.06323 (2023) - [i28]Chenming Tang, Xiuyu Wu, Yunfang Wu:
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? CoRR abs/2305.15183 (2023) - [i27]Fanyi Qu, Yunfang Wu:
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task. CoRR abs/2307.03972 (2023) - 2022
- [i26]Wenbiao Li, Rui Sun, Yunfang Wu:
Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models. CoRR abs/2207.05928 (2022) - [i25]Ming Zhang, Shuai Dou, Ziyang Wang, Yunfang Wu:
Focus-Driven Contrastive Learniang for Medical Question Summarization. CoRR abs/2209.00484 (2022) - [i24]Zichen Wu, Xin Jia, Fanyi Qu, Yunfang Wu:
Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation. CoRR abs/2209.04179 (2022) - [i23]Wenbiao Li, Ziyang Wang, Yunfang Wu:
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss. CoRR abs/2210.10305 (2022) - [i22]Xiuyu Wu, Yunfang Wu:
From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction. CoRR abs/2211.01625 (2022) - 2021
- [i21]Yi Zhang, Lei Li, Yunfang Wu, Qi Su, Xu Sun:
Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge. CoRR abs/2105.13607 (2021) - [i20]Xin Jia, Hao Wang, Dawei Yin, Yunfang Wu:
Enhancing Question Generation with Commonsense Knowledge. CoRR abs/2106.10454 (2021) - [i19]Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
ASAT: Adaptively Scaled Adversarial Training in Time Series. CoRR abs/2108.08976 (2021) - [i18]Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun:
Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling. CoRR abs/2108.11318 (2021) - [i17]Fanyi Qu, Xin Jia, Yunfang Wu:
Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data. CoRR abs/2109.05179 (2021) - 2020
- [i16]Shu Liu, Wei Li, Yunfang Wu, Qi Su, Xu Sun:
Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks. CoRR abs/2004.06427 (2020) - [i15]Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun:
Query-Variant Advertisement Text Generation with Association Knowledge. CoRR abs/2004.06438 (2020) - [i14]Xiuyu Wu, Nan Jiang, Yunfang Wu:
A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation. CoRR abs/2005.11665 (2020) - [i13]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. CoRR abs/2009.13199 (2020) - [i12]Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu:
EQG-RACE: Examination-Type Question Generation. CoRR abs/2012.06106 (2020) - 2019
- [i11]Xiuyu Wu, Yunfang Wu:
A Simple Dual-decoder Model for Generating Response with Sentiment. CoRR abs/1905.06597 (2019) - [i10]Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun:
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. CoRR abs/1906.01231 (2019) - [i9]Wenjie Zhou, Minghua Zhang, Yunfang Wu:
Multi-Task Learning with Language Modeling for Question Generation. CoRR abs/1908.11813 (2019) - [i8]Wenjie Zhou, Minghua Zhang, Yunfang Wu:
Question-type Driven Question Generation. CoRR abs/1909.00140 (2019) - [i7]Wei Li, Yunfang Wu:
Multi-level Gated Recurrent Neural Network for Dialog Act Classification. CoRR abs/1910.01822 (2019) - [i6]Xiaorui Zhou, Senlin Luo, Yunfang Wu:
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension. CoRR abs/1911.08648 (2019) - 2018
- [i5]Wei Li, Yunfang Wu, Xueqiang Lv:
Improving Word Vector with Prior Knowledge in Semantic Dictionary. CoRR abs/1801.09031 (2018) - [i4]Minghua Zhang, Yunfang Wu:
An Unsupervised Model with Attention Autoencoders for Question Retrieval. CoRR abs/1803.03476 (2018) - [i3]Wei Li, Xuancheng Ren, Damai Dai, Yunfang Wu, Houfeng Wang, Xu Sun:
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions. CoRR abs/1808.05437 (2018) - [i2]Minghua Zhang, Yunfang Wu, Weikang Li, Wei Li:
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. CoRR abs/1809.06590 (2018) - 2017
- [i1]Wei Li, Yunfang Wu:
Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering. CoRR abs/1709.05599 (2017)
Coauthor Index
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