NLP Research, Tencent AI Lab

Natural Language Processing (NLP) Research

At Tencent AI Lab, our NLP research focuses on enhancing interactions between computers and human in natural languages. Our research covers a range of topics in NLP, including text understanding, text generation, dialogue, and machine translation.

Publications

2024

Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho LAM, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, and Michael Lyu. On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. ICLR 2024.
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, and Zhaopeng Tu. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher. ICLR 2024.
Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei Bi, and Shuming Shi. Knowledge Fusion of Large Language Models. ICLR 2024.
Bowen Cao, Deng Cai, Leyang Cui, Xuxin Cheng, Wei Bi, Yuexian Zou, and Shuming Shi. Retrieval is Accurate Generation. ICLR 2024.
Tingchen Fu, Lemao Liu, Deng Cai, Guoping Huang, Shuming Shi, and Rui Yan. The Reasonableness Behind Unreasonable Translation Capability of Large Language Model. ICLR 2024.
Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, and Dong Yu. The Trickle-Down Impact of Reward (In-)consistency on RLHF. ICLR 2024.

2023

Longyue Wang, Siyou Liu, Mingzhou Xu, Linfeng Song, Shuming Shi, and Zhaopeng Tu. A Survey on Zero Pronoun Translation. ACL 2023.
Yuejiao Fei, Leyang Cui, Sen Yang, Wai Lam, Zhenzhong Lan, and Shuming Shi. Enhancing Grammatical Error Correction Systems with Explanations. ACL 2023.
Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, and Yue Zhang. Explicit Syntactic Guidance for Neural Text Generation. ACL 2023.
Yiyang Li, Xinting Huang, Wei Bi, and Hai Zhao. Pre-training Multi-party Dialogue Models with Latent Discourse Inference. ACL 2023.
Fanqi Wan, Weizhou Shen, Ke Yang, Xiaojun Quan, and Wei Bi. Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog. ACL 2023.
Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Wenliang Chen, and Dong Yu. SafeConv: Explaining and Correcting Conversational Unsafe Behavior. ACL 2023.
Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, and Dong Yu. Generating User-Engaging News Headlines. ACL 2023.
Hongwei Wang and Dong Yu. Going Beyond Sentence Embeddings: A Token-Level Matching Algorithm for Calculating Semantic Textual Similarity. ACL 2023 (Short).
Zhihao Wang, Longyue Wang, Jinsong Su, Junfeng Yao, and Zhaopeng Tu. Revisiting Non-Autoregressive Translation at Scale. ACL 2023 (Findings).
Sai Ashish Somayajula, Lifeng Jin, Linfeng Song, Haitao Mi, and Dong Yu. Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training. ACL 2023 (Findings).
Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, and Heng Ji. Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. ACL 2023 (Findings).
Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda Petzold, and Dong Yu. OASum: Large-Scale Open Domain Aspect-based Summarization. ACL 2023 (Findings).
Mingyang Song, Haiyun Jiang, Lemao Liu, Shuming Shi, and Liping Jing. Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function. ACL 2023 (Findings).
Qintong Li, Zhiyong Wu, Lingpeng Kong, and Wei Bi. Explanation Regeneration via Information Bottleneck. ACL 2023 (Findings).
Hongkun Hao, Guoping Huang, Lemao Liu, Zhirui Zhang, Shuming Shi, and Rui Wang. Rethinking Translation Memory Augmented Neural Machine Translation. ACL 2023 (Findings).
Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, and Xiang Ao. Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. ACL 2023 (Findings).
Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, and Bing Qin. Improved Visual Story Generation with Adaptive Context Modeling. ACL 2023 (Findings).
Chiyu Song, Hongliang He, Haofei Yu, Pengfei Fang, Leyang Cui, and Zhenzhong Lan. Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems. ACL 2023 (Findings).
Xueliang Zhao, Tingchen Fu, Lemao Liu, Lingpeng Kong, Shuming Shi, and Rui Yan. SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation. ACL 2023 (Findings).
Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, and Bingzhe Wu. E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. ACL 2023 (Findings).
Shuming Shi, Enbo Zhao, Wei Bi, Deng Cai, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Longyue Wang, Chengyan Huang, Guoping Huang, Yan Wang, and Piji Li. Effidit: An Assistant for Improving Writing Efficiency. ACL 2023 (Demonstration).
Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, Zhaopeng Tu. Document-Level Machine Translation with Large Language Models. EMNLP 2023.
Dian Yu, Xiaoyang Wang, Wanshun Chen, Nan Du, Longyue Wang, Hiatao Mi, Dong Yu. More Than Spoken Words: Nonverbal Message Extraction and Generation. EMNLP 2023.
Wenhao Yu, Meng Jiang, Peter Clark, and Ashish Sabharwal. IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. EMNLP 2023. [Outstanding Paper]
Yue Zhang, Leyang Cui, Enbo Zhao, Wei Bi, Shuming Shi. RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation. EMNLP 2023.
James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu. Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. EMNLP 2023. [Outstanding Paper]
Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu. Analyzing Influential Factors in Human Preference Judgments via GPT-4. EMNLP 2023.
Ruize Gao, Zhirui Zhang, Yichao Du, Lemao Liu, Rui Wang. Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer. EMNLP 2023.
Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Guoping Huang, Shuming Shi, Jiajun Chen, Shujian Huang. IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems. EMNLP 2023.
Xingyu Chen, Lemao Liu, Guoping Huang, Zhirui Zhang, Mingming Yang, Shuming Shi, Rui Wang. Rethinking Word-Level Auto-Completion in Computer-Aided Translation. EMNLP 2023.
Fanqi Wan, Xinting Huang, Tao Yang, Xiaojun Quan, Wei Bi, Shuming Shi. Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration. EMNLP 2023.
Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu. SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. EMNLP 2023.
Weizhou Shen, Yingqi Gao, Canbin Huang, Fanqi Wan, Xiaojun Quan, Wei Bi. Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System. EMNLP 2023.
Chufan Shi, Yixuan Su, Cheng Yang, Yujiu Yang, Deng Cai. Specialist or Generalist? Instruction Tuning for Specific NLP Tasks. EMNLP 2023.
Ruiqi Li, Patrik Haslum, Leyang Cui. EDeR: Towards Understanding Dependency Relations Between Events. EMNLP 2023.
Yu Zhang, Yue Zhang, Leyang Cui, Guohong Fu. Non-Autoregressive Text Editing with Copy-aware Latent Alignments.EMNLP 2023.
Yifan Jiang, Filip Ilievski, Kaixin Ma, Zhivar Sourati. BRAINTEASER: Lateral Thinking Puzzles for Large Language Models. EMNLP 2023.
Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Zhiwei He, Tian Liang, Xing Wang, Shuming Shi, Zhaopeng Tu. ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback. EMNLP 2023 (Findings).
Jinhui Ye, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Hui Xiong. Cross-modality Data Augmentation for End-to-End Sign Language Translation. EMNLP 2023 (Findings).
Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao. Retrieval-Augmented Few-shot Text Classification. EMNLP 2023 (Findings).
Ante Wang, Linfeng Song, Ge Xu, Jinsong Su. Domain Adaptation for Conversational Query Production with the RAG Model Feedback. EMNLP 2023 (Findings).
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen. PIVOINE: Instruction Tuning for Open-world Information Extraction. EMNLP 2023 (Findings).
Xiaoying Zhang, Baolin Peng, Kun Li, Jingyan Zhou, Helen Meng. SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting. EMNLP 2023 (Findings).
Hanmeng Liu, Zhiyang Teng, Leyang Cui, Chaoli Zhang, Qiji Zhou, Yue Zhang. LogiCoT: Logical Chain-of-Thought Instruction Tuning. EMNLP 2023 (Findings).
Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, Jia Li. Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters.. EMNLP 2023 (Findings).
Tingchen Fu, Xueliang Zhao, Lemao Liu, Rui Yan. Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue. EMNLP 2023 (Findings).
Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi. TRAMS: Training-free Memory Selection for Language Modeling.. EMNLP 2023 (Findings, Short).
Jianshu Chen. Learning Language Representations with Logical Inductive Bias. ICLR 2023.
Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, and Jianshu Chen. Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. ICLR 2023.
Tian Lan, Deng Cai, Yan Wang, Heyan Huang, and Xian-Ling Mao. Copy is All You Need. ICLR 2023.
Lingfeng Shen, Ze Zhang, Haiyun Jiang, and Ying Chen. TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification. ICLR 2023.
Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, and Enhong Chen. Federated Nearest Neighbor Machine Translation. ICLR 2023.
Yuhan Dai, Zhirui Zhang, Qiuzhi Liu, Qu Cui, Weihua Li, Yichao Du, and Tong Xu. Simple and Scalable Nearest Neighbor Machine Translation. ICLR 2023.
Junwei Liao, Duyu Tang, Fan Zhang, and Shuming Shi. SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach. ICASSP 2023.
Kangjie Zheng, Longyue Wang, Zhihao Wang, Binqi Chen, Ming Zhang, and Zhaopeng Tu. Towards a Unified Training for Levenshtein Transformer. ICASSP 2023.

2022

Fan Yang, Wenchuan Wang, Fang Wang, Yuan Fang, Duyu Tang, Junzhou Huang, Hui Lu, and Jianhua Yao. scBERT as a Large-Scale Pretrained Deep Language Model for Cell Type Annotation of Single-Cell RNA-Seq Data. Nature Machine Intelligence (2022).
Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, and Nigel Collier. A Contrastive Framework for Neural Text Generation. NeurIPS 2022.
Yangming Li, Lemao Liu, and Shuming Shi. Rethinking Negative Sampling for Handling Missing Entity Annotations. ACL 2022.
Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi. Exploring and Adapting Chinese GPT to Pinyin Input Method. ACL 2022.
Yu Cao, Wei Bi, Meng Fang, Shuming Shi, and Dacheng Tao. A Model-Agnostic Data Manipulation Method for Persona-Based Dialogue Generation. ACL 2022.
Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, and Ben Kao. Lexical Knowledge Internalization for Neural Dialog Generation. ACL 2022.
Yi Chen, Jiayang Cheng, Haiyun Jiang, Lemao Liu, Haisong Zhang, Shuming Shi, and Ruifeng Xu. Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing. ACL 2022.
Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, and Zhaopeng Tu. Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. ACL 2022.
Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, and Zhaopeng Tu. Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. ACL 2022.
Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, and Michael Lyu. Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL 2022.
Yanling Xiao, Lemao Liu, Guoping Huang, Qu Cui, Shujian Huang, Shuming Shi, and Jiajun Chen. BiTIIMT: A Bilingual Text-Infilling Method for Interactive Machine Translation. ACL 2022.
Irene Li, Linfeng Song, Kun Xu, and Dong Yu. Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution. ACL 2022.
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, and Fei Liu. Towards Abstractive Grounded Summarization of Podcast Transcripts. ACL 2022.
Ying Su, Hongming Zhang, Yangqiu Song, and Tong Zhang. Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting. ACL 2022.
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, and Claire Cardie. Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. ACL 2022.
Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, and Jianshu Chen. C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. ACL 2022 (Short).
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, and Jianshu Chen. Learning-by-Narrating: Narrative Pre-training for Zero-Shot Dialogue Comprehension. ACL 2022 (Short).
Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, and Lemao Liu. Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. ACL 2022 (Findings).
Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, and Lingpeng Kong. Event Transition Planning for Open-Ended Text Generation. ACL 2022 (Findings).
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng. CoCoLM: COmplex COmmonsense Enhanced Language Model. ACL 2022 (Findings).
Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, and Shuming Shi. Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. ACL 2022 (Findings, Short).
Yong Dai, Linyang Li, Cong Zhou, Zhangyin Feng, Enbo Zhao, Xipeng Qiu, Piji Li, and Duyu Tang. "Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction. ACL 2022 (Findings, Short).
Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, and Dong Yu. Toward Unifying Text Segmentation and Long Document Summarization. EMNLP 2022.
Songyang Zhang, Linfeng Song, Lifeng Jin, Haitao Mi, Kun Xu, Dong Yu, and Jiebo Luo. Learning a Grammar Inducer from Massive Uncurated Instructional Videos. EMNLP 2022.
Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, and Dong Yu. Salience Allocation as Guidance for Abstractive Summarization. EMNLP 2022.
Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu and, Jianshu Chen. Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. EMNLP 2022.
Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, and Dong Yu. MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. EMNLP 2022.
Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, and Simon See. SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. EMNLP 2022.
Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, and Zhaopeng Tu. A Benchmark for Zero Pronoun Recovery and Translation. EMNLP 2022.
Yafu Li, Leyang Cui, Yongjing Yin, and Yue Zhang. Multi-Granularity Optimization for Non-Autoregressive Translation. EMNLP 2022.
Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao, and Rui Yan. Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. EMNLP 2022.
Lingfeng Shen, Lemao Liu, Haiyun Jiang, and Shuming Shi. On the Evaluation Metrics for Paraphrase Generation. EMNLP 2022.
Xin Cheng, Shen Gao, Lemao Liu, Dongyan Zhao, and Rui Yan. Neural Machine Translation with Contrastive Translation Memories. EMNLP 2022.
Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, and Yang Liu. A Template-based Method for Constrained Neural Machine Translation. EMNLP 2022.
Xuefeng Bai, Sen Yang, Leyang Cui, Linfeng Song, and Yue Zhang. Cross-domain Generalization for AMR Parsing. EMNLP 2022.
Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, and Enhong Chen. Non-Parametric Domain Adaptation for End-to-End Speech Translation. EMNLP 2022.
Hongming Zhang, Wenlin Yao, and Dong Yu. Efficient Zero-shot Event Extraction with Context-Definition Alignment. EMNLP 2022 (Findings) .
Peng Shi, Linfeng Song, Lifeng Jin, Haitao Mi, He Bai, Jimmy Lin, and Dong Yu. Cross-lingual Text-to-SQL Semantic Parsing with Representation Mixup. EMNLP 2022 (Findings) .
Xiaoyue Wang, Linfeng Song, Xin Liu, Chulun Zhou, Hualin Zeng, and Jinsong Su. Getting the Most out of Simile Recognition. EMNLP 2022 (Findings) .
Guangliang Liu, Lifeng Jin, Owen Yuan, and Jiayu Zhou. Dynamic Augmentation Data Selection for Few-shot Text Classification. EMNLP 2022 (Findings) .
Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, and Mrinmaya Sachan. Adapters for Enhanced Modeling of Multilingual Knowledge and Text. EMNLP 2022 (Findings). [Best Paper of MRL Workshop]
Yi Chen, Haiyun Jiang, Lemao Liu, Rui Wang, Shuming Shi, and Ruifeng Xu. MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation. EMNLP 2022 (Findings) .
Qi Liu, Zihuiwen Ye, Tao Yu, Linfeng Song, and Phil Blunsom. Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play. EMNLP 2022 (Findings) .
Chao Zhao, Faeze Brahman, Kaiqiang Song, Wenlin Yao, Dian Yu, and Snigdha Chaturvedi. NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization. EMNLP 2022 (Findings) .
Ying Su, Zihao Wang, Tianqing Fang, Hongming Zhang, Yangqiu Song and Tong Zhang. MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation. EMNLP 2022 (Findings) .
Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong, and Simon See. PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. EMNLP 2022 (Findings) .

2021

Lifeng Jin, Linfeng Song, Kun Xu, and Dong Yu. Instance-adaptive training with noise-robust losses against noisy labels. EMNLP 2021.
Jing Qian, Yibin Liu, Lemao Liu, Yangming Li, Haiyun Jiang, Haisong Zhang, and Shuming Shi. Fine-grained Entity Typing without Knowledge Base. EMNLP 2021.
Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang, and Ruifeng Xu. An Empirical Study on Multiple Information Sources for Zero-shot Fine-grained Entity Typing. EMNLP 2021.
Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, and Wei Bi. Set Generation Networks for End-to-End Knowledge Base Population. EMNLP 2021.
Wenlin Yao, Xiaoman Pan, Jianshu Chen, Lifeng Jin, Dian Yu, and Dong Yu. Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. EMNLP 2021.
Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu and Dong Yu. Robust Dialogue Utterance Rewriting as Sequence Tagging. EMNLP 2021.
Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, and Dong Yu. Exophoric Pronoun Resolution in Dialogues with Topic Regularization. EMNLP 2021.
Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, and Xueqi Cheng. Transductive Learning for Unsupervised Text Style Transfer. EMNLP 2021.
Yangming Li, Lemao Liu, and Shuming Shi. Segmenting Natural Language Sentences via Lexical Unit Analysis. EMNLP 2021 (Findings).
Lifeng Jin, Byung-Doh Oh, and William Schuler. Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages. EMNLP 2021 (Findings).
Dian Yu, Kai Sun, Dong Yu, and Claire Cardie. Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data. EMNLP 2021 (Findings).
Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li and Hong Chen. A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. EMNLP 2021 (Findings).
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, and Zhaopeng Tu. On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. EMNLP 2021 (Findings, Short).
Cunxiao Du, Zhaopeng Tu, and Jing Jiang. Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. ICML 2021.
Piji Li and Shuming Shi. Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction. ACL 2021.
Huayang Li, Lemao Liu, Guoping Huang, and Shuming Shi. GWLAN: General Word-Level Autocompletion for Computer-Aided Translation. ACL 2021.
Wei Bi, Huayang Li, and Jiacheng Huang. Data Augmentation for Text Generation Without Any Augmented Data. ACL 2021.
Qiankun Fu, Linfeng Song, Wenyu Du, and Yue Zhang. End-to-End AMR Corefencence Resolution. ACL 2021.
Dong Wang, Ning Ding, Piji Li and Haitao Zheng. CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding. ACL 2021.
Wang Chen, Piji Li, and Irwin King. A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy. ACL 2021.
Yixuan Su, Deng Cai, Qingyu Zhou, Zibo Lin, Simon Baker, Yunbo Cao, Shuming Shi, Nigel Collier, and Yan Wang. Dialogue Response Selection with Hierarchical Curriculum Learning. ACL 2021.
Zexin Lu, Keyang Ding, Yuji Zhang, Jing Li, Baolin Peng, and Lemao Liu. Engage the Public: Poll Question Generation for Social Media Posts. ACL 2021.
Xuefeng Bai, Yulong Chen, Linfeng Song, and Yue Zhang. Semantic Representation for Dialogue Modeling. ACL 2021.
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, and Zhaopeng Tu. Low-Frequency Words Rejuvenation: Making the Most of Parallel Data in Non-Autoregressive Translation. ACL 2021.
Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, and Irwin King. Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL 2021.
Qiuxiang He, Guoping Huang, Qu Cui, Li Li, and Lemao Liu. Fast and Accurate Neural Machine Translation with Translation Memory. ACL 2021.
Deng Cai, Yan Wang, Huayang Li, Wai Lam, and Lemao Liu. Neural Machine Translation with Monolingual Translation Memory. ACL 2021. [Outstanding Paper]
Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, and Ben Kao. Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. ACL 2021.
Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing, and Pengtao Xie. On the Generation of Medical Dialogs for COVID-19. ACL 2021.
Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, and Linqi Song. Domain-Adaptive Pretraining Methods for Dialogue Understanding. ACL 2021 (Short).
Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, and Minlie Huang. JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. ACL 2021 (Findings).
Jun Gao, Wei Bi, Ruifeng Xu, and Shuming Shi. REAM♯: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation. ACL 2021 (Findings).
Zhangming Chan, Lemao Liu, Juntao Li, Haisong Zhang, Dongyan Zhao, Shuming Shi, and Rui Yan. Enhancing the Open-Domain Dialogue Evaluation in Latent Space. ACL 2021 (Findings).
Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, and Yang Liu. Investigating Media Coverage Bias for Neural Machine Translation. ACL 2021 (Findings).
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, and Zhaopeng Tu. Reducing Copying Errors in Pre-Training for Neural Machine Translation. ACL 2021 (Findings).
Yixuan Su, David Vandyke, Simon Baker, Yan Wang and Nigel Collier. Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation. ACL 2021 (Findings).
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, and Zhaopeng Tu. Progressive Multi-Granularity Training for Non-Autoregressive Translation. ACL 2021 (Findings, Short).
Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, and Lemao Liu. Assessing Dialogue Systems with Distribution Distances. ACL 2021 (Findings, Short).
Yangming Li, Lemao Liu, and Shuming Shi. Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition. ICLR 2021.
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, and Zhaopeng Tu. Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR 2021.
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, and Zhaopeng Tu. Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. ICLR 2021.
Xiaoyang Wang, Chen Li, Jianqiao Zhao, and Dong Yu. NaturalConv: A Chinese Dialogue Dataset Towards Multi-Turn Topic-Driven Conversation. AAAI 2021.
Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, and Nevin Zhang. Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. AAAI 2021.
Wei Wang, Piji Li, and Haitao Zheng. Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection. AAAI 2021.
Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, and Xueqi Cheng. Sketch and Customize: A Counterfactual Story Generator. AAAI 2021.
Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, and Jiajun Chen. DirectQE: Direct Pretraining for Machine Translation Quality Estimation. AAAI 2021.
Songyang Zhang, Linfeng Song, Lifeng Jin, Kun Xu, Dong Yu, and Jiebo Luo. Video-aided Unsupervised Grammar Induction. NAACL 2021. [Best Paper]
Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu, and Xing Wang. Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL 2021 (Short).
Yixuan Su, Deng Cai, Yan Wang, David Vandyke, Simon Baker, Piji Li, and Nigel Collier. Non-Autoregressive Text Generation with Pre-trained Language Models. EACL 2021.
Qintong Li, Piji Li, Xinyi Li, Zhumin Chen, Zhaochun Ren, and Maarten de Rijke. Abstractive Opinion Tagging. WSDM 2021.
Wei Wang, Piji Li, and Hai-Tao Zheng. Consistency and Coherency Enhanced Story Generation. ECIR 2021.
Kun Xu, Han Wu, Linfeng Song, Haisong Zhang, Linqi Song, and Dong Yu. Conversational Semantic Role Labeling. Journal of TASLP 2021.

2020

Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song, and Dong Yu. Semantic Role Labeling Guided Multi-Turn Dialogue ReWriter. EMNLP 2020.
Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael Lyu, and Zhaopeng Tu. Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP 2020.
Xuefeng Bai, Linfeng Song, and Yue Zhang. Online Back-Parsing for AMR-to-Text Generation. EMNLP 2020.
Zibo Lin, Deng Cai, Yan Wang, Xiaojiang Liu, Haitao Zheng, and Shuming Shi. The World is not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection. EMNLP 2020.
Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, and Shuming Shi. When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models. EMNLP 2020.
Jian Liu, Yubo Chen, Kang Liu, Wei Bi, and Xiaojiang Liu. Event Extraction as Machine Reading Comprehension. EMNLP 2020.
Lingzhi Wang, Jing Li, Xingshan Zeng, Haisong Zhang, and Kam-Fai Wong. Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations. EMNLP 2020.
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, and Fei Liu. Better Highlighting: Creating Sub-Sentence Summary Highlights. EMNLP 2020.
Yong Wang, Longyue Wang, Victor O.K. Li, and Zhaopeng Tu. On the Sparsity of Neural Machine Translation Models. EMNLP 2020 (Short).
Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, and Zhaopeng Tu. On the Sub-Layer Functionalities of Transformer Decoder. EMNLP 2020 (Findings).
Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael Lyu, and Irwin King. Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. EMNLP 2020 (Findings).
Huayang Li, Lemao Liu, Guoping Huang, and Shuming Shi. On the Branching Bias of Syntax Extracted from Pre-trained Language Models. EMNLP 2020 (Findings, Short).
Yu Cao, Wei Bi, Meng Fang, and Dacheng Tao Pretrained Language Models for Dialogue Generation with Multiple Input Sources. EMNLP 2020 (Findings, Short).
Piji Li, Haisong Zhang, Xiaojiang Liu, and Shuming Shi. Rigid Formats Controlled Text Generation. ACL 2020.
Dian Yu, Kai Sun, Claire Cardie, and Dong Yu. Dialogue-Based Relation Extraction. ACL 2020.
Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge, and Dong Yu. Structural Information Preserving for Graph-to-Text Generation. ACL 2020.
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, and Dong Yu. Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. ACL 2020.
Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, and Dapeng Wu. A Batch Normalized Inference Network Keeps the KL Vanishing Away. ACL 2020.
Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, and Nevin L. Zhang. Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. ACL 2020.
Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu, and Ting Liu. Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. ACL 2020.
Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara Berg, and Mohit Bansal. MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. ACL 2020.
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, and Changyou Chen. Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL 2020.
Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, and William Yang Wang. Logical Natural Language Generation from Open-Domain Tables. ACL 2020.
Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang, and Shuming Shi. Evaluating Explanation Methods for Neural Machine Translation. ACL 2020.
Shuo Wang, Zhaopeng Tu, Shuming Shi, and Yang Liu. On the Inference Calibration of Neural Machine Translation. ACL 2020.
Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, and Zhaopeng Tu. How Does Selective Mechanism Improve Self-Attention Networks?. ACL 2020.
Wang Chen, Hou Pong Chan, Piji Li, and Irwin King. Exclusive Hierarchical Decoding for Deep Keyphrase Generation. ACL 2020.
Yiping Song, Zequn Liu, Wei Bi, Rui Yan, and Ming Zhang. Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks. ACL 2020.
Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, and Ee-Peng Lim. Graph-to-Tree Learning for Solving Math Word Problems. ACL 2020.
Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen, and Dong Yu. ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. ACL 2020 (Short).
Xintong Li, Lemao Liu, Rui Wang, Guoping Huang, and Max Meng. Regularized Context Gates on Transformer for Machine Translation. ACL 2020 (Short).
Liang Ding, Longyue Wang, and Dacheng Tao. Self-Attention with Cross-Lingual Position Representation. ACL 2020 (Short).
Changlong Yu, Jialong Han, Haisong Zhang, and Wilfred Ng. Hypernymy Detection for Low-Resource Languages via Meta Learning. ACL 2020 (Short).
Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, and Shuming Shi. CASE: Context-Aware Semantic Expansion. AAAI 2020.
Kun Xu, Linfeng Song, Yansong Feng, Yan Song, and Dong Yu. Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment. AAAI 2020.
Lifeng Jin, Linfeng Song, Yue Zhang, Kun Xu, Wei-yun Ma, and Dong Yu. Relation Extraction Exploiting Full Dependency Forests. AAAI 2020.
Jiali Zeng, Linfeng Song, Jinsong Su, Jun Xie, Wei Song, and Jiebo Luo. Neural Simile Recognition with Cyclic Multitask Learning and Local Attention. AAAI 2020.
Tianxiang Zhao, Lemao Liu, Guoping Huang, Zhaopeng Tu, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi. Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. AAAI 2020.
Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, and Zhaopeng Tu. Neuron Interaction Based Representation Composition for Neural Machine Translation. AAAI 2020.
Yong Wang, Longyue Wang, Shuming Shi, Victor O.K. Li, and Zhaopeng Tu. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. AAAI 2020.
Yue Cao, Xiaojun Wan, Jin-Ge Yao and Dian Yu. MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization. AAAI 2020.
Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, and Wai Lam. Relevance-Promoting Language Model for Short-Text Conversation. AAAI 2020.
Ruize Wang, Zhongyu Wei, Piji Li, Qi Zhang, and Xuanjing Huang. Storytelling from an Image Stream using Scene Graphs. AAAI 2020.
Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, and Min Yang. Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering. AAAI 2020.
Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu. Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. AAAI 2020.
Meng Hsuan Yu, Juntao Li, Danyang Liu, Bo Tang, Haisong Zhang, Dongyan Zhao, and Rui Yan. Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder. AAAI 2020.
Yongjing Yin, Fandong Meng, Jinsong Su, Yubin Ge, Linfeng Song, Jie Zhou, and Jiebo Luo. Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. AAAI 2020.
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, and Fei Liu. Joint Generation of Sentences and Prasers for Abstractive Summarization. AAAI 2020.
Ziyi Dou, Xing Wang, Shuming Shi, and Zhaopeng Tu. Exploiting Deep Representations for Natural Language Processing. Journal of NeuroComputing, 2020.

2019

Longyue Wang, Zhaopeng Tu, Xing Wang, and Shuming Shi. One Model to Learn Both: Zero Pronoun Prediction and Translation. EMNLP 2019.
Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang, and Jinsong Su. Leveraging Dependency Forest for Neural Medical Relation Extraction. EMNLP 2019.
Hongming Zhong, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, and Dong Yu. Multi-Relational Word Embeddings for Selectional Preferences. EMNLP 2019.
Ming Liao, Jing Li, Haisong Zhang, Lingzhi Wang, Xixin Wu, and Kam-Fai Wong. Coupling Global and Local Context for Unsupervised Aspect Extraction. EMNLP 2019.
Xingshan Zeng, Jing Li, Lu Wang, and Kam-Fai Wong. Neural Conversation Recommendation with Online Interaction Modeling. EMNLP 2019.
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, and Shuming Shi. A Discrete CVAE for Response Generation on Short-Text Conversation. EMNLP 2019.
Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, and Shuming Shi. Retrieval-Guided Dialogue Response Generation via a Matching-to-Generation Framework. EMNLP 2019.
Zhufeng Pan, Kun Bai, Yan Wang, Lianqiang Zhou, and Xiaojiang Liu. Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration. EMNLP 2019.
Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, and Rui Yan. Semi-supervised Text Style Transfer: Cross Projection in Latent Space. EMNLP 2019.
Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, and Shuming Shi. Towards Understanding Neural Machine Translation with Word Importance. EMNLP 2019.
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, and Zhaopeng Tu. Multi-Granularity Self-Attention for Neural Machine Translation. EMNLP 2019.
Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xinyu Dai, and Jiajun Chen. Dynamic Past and Future for Neural Machine Translation. EMNLP 2019.
Shen Gao, Xiuying Chen, Piji Li, Zhangming Chan, Dongyan Zhao, and Rui Yan. How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing. EMNLP 2019.
Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing, and Wai Lam. Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. EMNLP 2019.
Xing Wang, Zhaopeng Tu, Longyue Wang, and Shuming Shi. Self-Attention Networks with Structural Position Representations. EMNLP 2019 (Short).
Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, and Zhaopeng Tu. Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. EMNLP 2019 (Short).
Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, and Tiejun Zhao. Understanding Data Augmentation in Neural Machine Translation: Two Perspectives Towards Generalization. EMNLP 2019 (Short).
Wei Bi, Jun Gao, Xiaojiang Liu, and Shuming Shi. Fine-Grained Sentence Functions for Short-Text Conversation. ACL 2019.
Zhiliang Tian, Wei Bi, Xiaopeng Li, and Nevin L. Zhang. Learning to Abstract for Memory-Augmented Conversational Response Generation. ACL 2019.
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, and William Yang Wang. Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL 2019.
Xingshan Zeng, Jing Li, Lu Wang, and Kam-Fai Wong. Joint Effects of Context and User History for Predicting Online Conversation Re-Entries. ACL 2019.
Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, and Shuming Shi. Topic-Aware Neural Keyphrase Generation for Social Media Language. ACL 2019.
Yifan Gao, Piji Li, Irwin King, and Michael R. Lyu. Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. ACL 2019.
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, and Zhaopeng Tu. Assessing the Ability of Self-Attention Networks to Learn Word Order. ACL 2019.
Xintong Li, Guanlin Li, Lemao Liu, Max Meng, and Shuming Shi. On the Word Alignment from Neural Machine Translation. ACL 2019.
Hongming Zhang, Yan Song, Yangqiu Song, and Dong Yu. Knowledge-aware Pronoun Coreference Resolution. ACL 2019.
Miaofeng Liu, Yan Song, Hongbin Zou, and Tong Zhang. Reinforced Training Data Selection for Domain Adaptation. ACL 2019.
Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, and Jiawei Han. Reliability-aware Dynamic Feature Composition for Name Tagging. ACL 2019.
Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, and Rui Yan. Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References. ACL 2019.
Xing Wang, Zhaopeng Tu, Longyue Wang, and Shuming Shi. Exploiting Sentential Context for Neural Machine Translation. ACL 2019 (Short).
Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, and Dong Yu. Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network. ACL 2019 (Short).
Eva Sharma, Chen Li, and Lu Wang. BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization. ACL 2019 (Short).
Haoyu Wang, Ming Tan, Mo Yu, Shiyu Chang, Dakuo Wang, Kun Xu, Xiaoxiao Guo, and Saloni Potdar. Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers. ACL 2019 (Short).
Yang Zhao, Xiaoyu Shen, Wei Bi, and Akiko Aizawa. Unsupervised Rewriter for Multi-Sentence Compression. ACL 2019 (Short).
Jierui Li, Lei Wang, Jipeng Zhang, Yan Wang, Bingtian Dai, and Dongxiang Zhang. Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions. ACL 2019 (Short).
Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, and Dong Yu. Unsupervised Neural Aspect Extraction with Sememes. IJCAI 2019.
Canwen Xu, Feiyang Wang, Jialong Han, and Chenliang Li. Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CIKM 2019 (Short).
Kun Xu, Yuxuan Lai, Yansong Feng, and Zhiguo Wang. Enhancing Key-Value Memory Neural Network for Knowledge Based Question Answering. NAACL 2019.
Yue Wang, Jing Li, Irwin King, Michael R. Lyu, and Shuming Shi. Microblog Hashtag Generation via Encoding Conversation Contexts. NAACL 2019.
Hongming Zhang, Yan Song, and Yangqiu Song. Incorporating Context and External Knowledge for Pronoun Coreference Resolution. NAACL 2019.
Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, and Shuming Shi. Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. NAACL 2019.
Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, and Shuming Shi. Understanding and Improving Hidden Representations for Neural Machine Translation. NAACL 2019.
Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, and Zhaopeng Tu. Information Aggregation for Multi-Head Attention with Routing-by-Agreement. NAACL 2019.
Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, and Zhaopeng Tu. Modeling Recurrence for Transformer. NAACL 2019.
Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, and Irwin King. An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. NAACL 2019.
Baosong Yang, Longyue Wang, Derek Wong, Lidia S. Chao, and Zhaopeng Tu. Convolutional Self-Attention Networks. NAACL 2019 (Short).
Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard Hovy, and Tong Zhang. Neural Machine Translation with Adequacy-Oriented Learning. AAAI 2019.
Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, and Tong Zhang. Dynamic Layer Aggregation for Neural Machine Translation. AAAI 2019.
Baosong Yang, Jian Li, Derek Wong, Lidia S. Chao, Xing Wang, and Zhaopeng Tu. Context-Aware Self-Attention Networks. AAAI 2019.
Mengzhou Xia, Guoping Huang, Lemao Liu, and Shuming Shi. Graph based Translation Memory for Neural Machine Translation. AAAI 2019.
Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, and Shuming Shi. Generating Multiple Diverse Responses for Short-Text Conversation. AAAI 2019.
Wang Zhi, Wei Bi, Yan Wang, and Xiaojiang Liu. Better Fine-tuning via Instance Weighting for Text Classification. AAAI 2019.
Xin Li, Lidong Bing, Piji Li, and Wai Lam. A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. AAAI 2019.
Yifan Gao, Lidong Bing, Piji Li, Irwin King, and Michael R. Lyu. Generating Distractors for Reading Comprehension Questions from Real Examinations. AAAI 2019.
Peifeng Wang, Jialong Han, Chenliang Li, and Rong Pan. Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. AAAI 2019.
Jiaao Chen, Jianshu Chen, and Zhou Yu. Incorporating Commonsense Knowledge for Story Completion. AAAI 2019.
Shen Gao, Xiuying Chen, Piji Li, Lidong Bing, Zhaochun Ren, Dongyan Zhao, and Rui Yan. Abstractive Text Summarization by Incorporating Reader Comments. AAAI 2019.
Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, and Dongyan Zhao. Lattice CNNs for Matching Based Chinese Question Answering. AAAI 2019.
Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, and Irwin King. What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. Transactions of the Association for Computational Linguistics (TACL), 2019.

2018

Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, and Yang Liu. Towards Robust Neural Machine Translation. ACL 2018.
Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi, and Haisong Zhang. hyperdoc2vec: Distributed Representations of Hypertext Documents. ACL 2018.
Xin Li, Lidong Bing, Wai Lam, and Bei Shi. Transformation Networks for Target-Oriented Sentiment Classification. ACL 2018.
Bei Shi, Zihao Fu, Lidong Bing, and Wai Lam. Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. ACL 2018.
Lianhui Qin, Lemao Liu, Wei Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, and Shuming Shi. Automatic Article Commenting: the Task and Dataset. ACL 2018 (Short).
Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, and Tong Zhang. QuaSE: Sequence Editing under Quantifiable Guidance. EMNLP 2018.
Ziyi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, and Tong Zhang. Exploiting Deep Representations for Neural Machine Translation. EMNLP 2018.
Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, and Tong Zhang. Modeling Localness for Self-Attention Networks. EMNLP 2018.
Dingmin Wang, Yan Song, Jing Li, Jialong Han, and Haisong Zhang. A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check. EMNLP 2018.
Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, and Irwin King. Topic Memory Networks for Short Text Classification. EMNLP 2018. [code]
Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, and William Yang Wang. XL-NBT: A Cross-lingual Neural Belief Tracking Framework. EMNLP 2018.
Juntao Li, Yan Song, Haisong Zhang, Dongmin Chen, Shuming Shi, and Rui Yan. Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training. EMNLP 2018.
Xiuying Chen, Shen Gao, Chongyang Tao, Yan Song, Dongyan Zhao, and Rui Yan. Iterative Document Representation Learning Towards Summarization with Polishing. EMNLP 2018.
Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, and Xuan Wang. Variational Autoregressive Decoder for Neural Response Generation. EMNLP 2018.
Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, and Tong Zhang. Multi-Head Attention with Disagreement Regularization. EMNLP 2018 (Short).
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu. Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. EMNLP 2018 (Short).
Yahui Liu, Wei Bi, Jun Gao, Xiaojiang Liu, Jian Yao, and Shuming Shi. Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method. EMNLP 2018 (Short).
Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, and Xiaojiang Liu. Translating Math Word Problem to Expression Tree. EMNLP 2018 (Short).
Thanapon Noraset, Doug Downey, and Lidong Bing. Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. EMNLP 2018 (Short).
Di Chen, Jiachen Du, Lidong Bing, and Ruifeng Xu. Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. EMNLP 2018 (Short).
Yan Song and Shuming Shi. Complementary Learning of Word Embeddings. IJCAI 2018.
Yan Song, Shuming Shi, and Jing Li. Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks. IJCAI 2018.
Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, and Di Wang. Neural Machine Translation with Key-Value Memory-Augmented Attention. IJCAI 2018.
Xin Li, Lidong Bing, Piji Li, Wai Lam, and Zhimou Yang. Aspect Term Extraction with History Attention and Selective Transformation. IJCAI 2018.
Yequan Wang, Aixin Sun, Jialong Han, Ying Liu, and Xiaoyan Zhu. Sentiment Analysis by Capsules. TheWebConf 2018.
Xintong Li, Lemao Liu, Zhaopeng Tu, Shuming Shi, and Max Meng. Target Foresight Based Attention for Neural Machine Translation. NAACL 2018.
Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, and Kam-Fai Wong. Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse. NAACL 2018.
Yingyi Zhang, Jing Li, Yan Song, and Chengzhi Zhang. Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts. NAACL 2018. [data]
Yan Song, Shuming Shi, Jing Li, and Haisong Zhang. Directional Skip-Gram: Explicitly Distinguishing Left and Right Context forWord Embeddings. NAACL 2018 (Short).
Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, and Qun Liu. Translating Pro-Drop Languages with Reconstruction Models. AAAI 2018.
Lemao Liu, Muhua Zhu, and Shuming Shi. Improving Sequence-to-Sequence Constituency Parsing. AAAI 2018.
Jing Li, Yan Song, Zhongyu Wei, and Kam-Fai Wong. A Joint Model of Conversational Discourse and Latent Topics on Microblogs. Computational Linguistics, 2018 (Volume 44, Issue 4).
Zhaopeng Tu, Yang Liu, Shuming Shi, and Tong Zhang. Learning to Remember Translation History with a Continuous Cache. Transactions of the Association for Computational Linguistics (TACL), 2018.
Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, and Zhaopeng Tu. Modeling Past and Future for Neural Machine Translation. Transactions of the Association for Computational Linguistics (TACL), 2018.
Xing Wang, Zhaopeng Tu, and Ming Zhang. Incorporating Statistical Machine Translation Word Knowledge into Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2018.
Xin Zheng, Jialong Han, and Aixin Sun. A Survey of Location Prediction on Twitter. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
Guoping Huang, Jiajun Zhang, Yu Zhou, and Chengqing Zong. Input Method for Human Translators: a Novel Approach to Integrate Machine Translation Effectively and Imperceptibly. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2018.
Nan Wang, Yan Song, and Fei Xia. Constructing a Chinese Medical Conversation Corpus Annotated with Conversational Structures and Actions. LREC 2018.
Nan Wang, Yan Song, and Fei Xia. Coding Structures and Actions with the COSTA Scheme in Medical Conversations. BioNLP 2018.
Miaofeng Liu, Jialong Han, Haisong Zhang, and Yan Song. Domain Adaptation for Disease Phrase Matching with Adversarial Networks. BioNLP 2018.

2017

Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, and Guodong Zhou. Modeling Source Syntax for Neural Machine Translation. ACL 2017.
Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, and Jiajun Chen. Chunk-Based Bi-Scale Decoder for Neural Machine Translation. ACL 2017 (Short).
Yan Wang, Xiaojiang Liu, and Shuming Shi. Deep Neural Solver for Math Word Problems. EMNLP 2017. [data]
Danqing Huang, Shuming Shi, Jian Yin, and Chin-Yew Lin. Learning Fine-Grained Expressions to Solve Math Word Problems. EMNLP 2017.
Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, and Hang Li. Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. EMNLP 2017.
Piji Li, Wai Lam, Lidong Bing, and Zihao Wang. Deep Recurrent Generative Decoder for Abstractive Text Summarization. EMNLP 2017.
Peng Chen, Zhongqian Sun, Lidong Bing, and Wei Yang. Recurrent Attention Network on Memory for Aspect Sentiment Analysis. EMNLP 2017.
Xing Wang, Zhaopeng Tu, Deyi Xiong, and Min Zhang. Translating Phrases in Neural Machine Translation. EMNLP 2017.
Longyue Wang, Zhaopeng Tu, Andy Way, and Qun Liu. Exploiting Cross-Sentence Context for Neural Machine Translation. EMNLP 2017 (Short).
Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, and Eiichiro Sumita. Instance Weighting for Neural Machine Translation Domain Adaptation. EMNLP 2017 (Short).
Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, and Tiejun Zhao. Neural Machine Translation with Source Dependency Representation. EMNLP 2017 (Short).
Yan Song, Chia-Jung Lee, and Fei Xia. Learning Word Representations with Regularization from Prior Knowledge. CoNLL 2017.
Xin Zheng, Aixin Sun, Sibo Wang, and Jialong Han. Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation. CIKM 2017.
Lemao Liu, Atsushi Fujita, Masao Utiyama, Andrew Finch, and Eiichiro Sumita. Translation Quality Estimation Using Only Bilingual Corpora. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2017.