发表论文


Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

EMNLP 2023. (Long Paper, Findings)

Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin


Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation

EMNLP 2023. (Long Paper, Findings)

Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu


DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination

IEEE Transactions on Multimedia (SCI Index, IF=8.182)

Tingting Wu; Xiao Ding; Hao Zhang,Jinglong Gao,Minji Tang,Li Du,Bing Qin,Ting Liu


Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing

ACL 2023(Long Paper,Main Conference)

Li Du,Xiao Ding,Zhouhao Su,Ting Liu,Bing Qin, Jingshuo Liu


NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing

ACL 2023. (Long Paper, Findings)

Tingting Wu,Xiao Ding, Minji Tang, Hao Zhang, Bing Qin,Ting Liu


Self-supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning

AAAI 2023 (Long Paper,Main Conference)

Bibo Cai,Xiao Ding,Zhouhao Sun,Bing Qin,Ting Liu,Baojun Wang,Lifeng Shang


Enhancing pretrained language models with structured commonsense knowledge for textual inference

Journal of Knowledge-Based Systems. (SCI Index, IF=8.139)

Li Du,Xiao Ding,Kai Xiong,Ting Liu,Bing Qin


ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks

EMNLP 2022. (Long Paper, Main Conference)

Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai


STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processin

EMNLP 2022. (Long Paper, Main Conference).

Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu


CogBERT: Cognition-Guided Pre-trained Language Models

COLING 2022

Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu


e-CARE: a New Dataset for Exploring Explainable Causal Reasoning

ACL 2022. (Long Paper, Main Conference)

Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin


A Graph Enhanced BERT Model for Event Prediction

ACL 2022. (Long Paper, Findings)

Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin


Mitigating Reporting Bias for Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic

AAAI 2022. (Long Paper, Main Conference)

Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu


Event Graph Knowledge Enhanced Explainable Causal Reasoning

ACL 2021. (Long Paper, Main Conference)

Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin


Learning Event Graph Knowledge for Abductive Reasoning

ACL 2021. (Long Paper, Main Conference)

Li Du, Xiao Ding, Ting Liu, Bing Qin


Neural Natural Logic Inference for Interpretable Question Answering

EMNLP 2021. (Long Paper, Main Conference)

Jihao Shi, Xiao Ding, Ting Liu, Bing Qin


Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process

Science China Information Sciences 64 (9), 1-13. (SCI Index, IF=4.38)

Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu


TransBERT: A Three-Stage Pre-training Technology for Story-Ending Prediction

ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2021, 20(1): 1-20. (SCI Index, IF=1.42)

Zhongyang Li, Xiao Ding, Ting Liu


HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection

SemEval 2020. We won the first place (1st) in Subtask 1 of Task 5.

Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu


Guided Generation of Cause and Effect

IJCAI 2020 (Long Paper, accept rate = 12.6%)

Zhongyang Li, Xiao Ding, Ting Liu, Edward Hu, Benjamin Van Durme


TEND: A Target-dependent Representation Learning Framework for News Document.

In IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2019.

Junwen Duan, Xiao Ding, Yue Zhang, Ting Liu


Story Ending Prediction by Transferable BERT

IJCAI 2019 (Long Paper, accept rate = 17.8%)

Zhongyang Li, Xiao Ding, Ting Liu


Event Representation Learning Enhanced with External Commonsense Knowledge

EMNLP 2019 (Long Paper, accept rate = 23.8%)

Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan


Modeling Event Background for If-Then Commonsense Reasoning Using Contextaware Variational Autoencoder

EMNLP 2019 (Long Paper, accept rate = 23.8%)

Li Du, Xiao Ding, Ting Liu, Zhongyang Li


Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification

IJCAI 2018 (Long Paper, accept rate = 20%).

Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi


Constructing Narrative Event Evolutionary Graph for Script Event Prediction

IJCAI 2018 (Long Paper, accept rate = 20%).

Zhongyang Li, Xiao Ding, Ting Liu


Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training

COLING 2018 (Long Paper, accept rate = 37.4%).

Zhongyang Li, Xiao Ding, Ting Liu


Learning Target Dependent Representations of Financial News Documents

NAACL 2018 (Long Paper, accept rate = 32%)

Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu.


Learning Sentence Representations over Tree Structures for Target-dependent Classification

COLING 2016 (Long Paper, accept rate = 32%).

Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan


Predicting Movie Box-Office Revenues by Exploiting Large-Scale Social Media Content

Multimedia Tools and Applications. (SCI Index, Impact Factor: 1.346, Corresponding Author). 2016.

Ting Liu, Xiao Ding, Yiheng Chen, Hanchen Chen, Maosheng Guo


BUEES: a Bottom-Up Event Extraction System.

Frontiers of Information Technology & Electronic Engineering. (SCI Index, Impact Factor: 0.415). 2015.

Xiao Ding, Bing Qin, Ting Liu


Deep Learning for Event-Driven Stock Prediction

IJCAI 2015 (Long Paper, accept rate = 28%)

Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan


Mining User Consumption Intention from Social Media via Domain Adaptive Convolutional Neural Network

AAAI 2015 (long paper, accept rate = 26.67%)

Xiao Ding, Ting Liu, Junwen Duan, Jianyun Nie


Using Structured Events to Predict Stock Price Movement: An Empirical Investigation

EMNLP 2014 (Long Paper, accept rate = 28%)

Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan


Improving Web Search Ranking by Incorporating Structured Annotation of Queries

EMNLP 2013 (Long Paper, accept rate = 27%)

Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen


Building Chinese Event Type Paradigm Based on Trigger Clustering

IJCNLP 2013 (Long Paper, accept rate = 23.4%)

Xiao Ding, Bing Qin, Ting Liu