Changlong Yu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 35

Top Topics

Weakly Supervised

Event Extraction

Top Venues

Publications

Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory. CoRR (2024)
Jun Gao, Huan Zhao, Wei Wang, Changlong Yu, Ruifeng Xu
EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models. CoRR (2024)
Changlong Yu, Xin Liu, Jefferson Maia, Yang Li, Tianyu Cao, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li
COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. SIGMOD Conference Companion (2024)
Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. CoRR (2023)
Jun Gao, Huan Zhao, Changlong Yu, Ruifeng Xu
Exploring the Feasibility of ChatGPT for Event Extraction. CoRR (2023)
Tiantian Zhu, Yang Qin, Qingcai Chen, Xin Mu, Changlong Yu, Yang Xiang
Controllable Contrastive Generation for Multilingual Biomedical Entity Linking. EMNLP (2023)
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery. ACL (Findings) (2023)
Jun Gao, Huan Zhao, Yice Zhang, Wei Wang, Changlong Yu, Ruifeng Xu
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction. CoRR (2023)
Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. AAAI (2023)
Jufang Wang, Jinye Zhang, Changlong Yu
Hyers-Ulam stability and existence of solutions for high-order fractional q-difference equations on infinite intervals. J. Appl. Math. Comput. 69 (6) (2023)
Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, Wilfred Ng
An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. CoRR (2022)
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng
CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations. ACL (Findings) (2022)
Chenwei Lou, Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Weiwei Tu, Ruifeng Xu
Translation-Based Implicit Annotation Projection for Zero-Shot Cross-Lingual Event Argument Extraction. SIGIR (2022)
Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Wilfred Ng
XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System. DASFAA (3) (2022)
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense. CoRR (2022)
Jun Gao, Changlong Yu, Wei Wang, Huan Zhao, Ruifeng Xu
Mask-then-Fill: A Flexible and Effective Data Augmentation Framework for Event Extraction. EMNLP (Findings) (2022)
Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao, Wei Wang, Xiaoling Bai, Nan Yang, Jin Ma, Xiang Chen, Tianhua Zhou
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset. CoRR (2022)
Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, Wilfred Ng
An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. EMNLP (2022)
Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning. CoRR (2022)
Haolin Deng, Yanan Zhang, Yangfan Zhang, Wangyang Ying, Changlong Yu, Jun Gao, Wei Wang, Xiaoling Bai, Nan Yang, Jin Ma, Xiang Chen, Tianhua Zhou
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset. EMNLP (2022)
Jun Gao, Wei Wang, Changlong Yu, Huan Zhao, Wilfred Ng, Ruifeng Xu
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. ACL (1) (2022)
Jun Gao, Wei Wang, Changlong Yu, Huan Zhao, Wilfred Ng, Ruifeng Xu
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering. CoRR (2022)
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang
Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations. CoRR (2020)
Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, Shuming Shi
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models. EMNLP (1) (2020)
Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, Dong Yu
Multiplex Word Embeddings for Selectional Preference Acquisition. CoRR (2020)
Changlong Yu, Jialong Han, Haisong Zhang, Wilfred Ng
Hypernymy Detection for Low-Resource Languages via Meta Learning. ACL (2020)
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang
Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations. AKBC (2020)
Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Keping Yang
Unclicked User Behaviors Enhanced Sequential Recommendation. CoRR (2020)
Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, Shuming Shi
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models. CoRR (2020)
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng
CoCoLM: COmplex COmmonsense Enhanced Language Model. CoRR (2020)
Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CoRR (2019)
Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. CIKM (2019)
Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, Dong Yu
Multiplex Word Embeddings for Selectional Preference Acquisition. EMNLP/IJCNLP (1) (2019)
Jufang Wang, Changlong Yu, Yanping Guo
-difference equations with nonlocal conditions. Int. J. Model. Identif. Control. 30 (4) (2018)
Ying Ding, Changlong Yu, Jing Jiang
A Neural Network Model for Semi-supervised Review Aspect Identification. PAKDD (2) (2017)
Yanping Guo, Yunhai Wang, Changlong Yu
Positive solutions of m-point boundary value problems for second order differential equations with an advanced argument. SNPD (2) (2007)