Publications (Data and Resources)

Some data and resources are available for some papers, and please check them.

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. Proceedings of ACL 2022.

• Yangming Li, Lemao Liu, and Shuming Shi. Rethinking Negative Sampling for Handling Missing Entity Annotations. Proceedings of 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. Proceedings of ACL 2022.

• Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, and Lemao Liu. Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. Proceedings of 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. Proceedings of ACL 2022: Findings (Short).

• Lingfeng Shen, Lemao Liu, Haiyun Jiang and Shuming Shi. On the Evaluation Metrics for Paraphrase Generation. Proceedings of EMNLP 2022. [code]

• Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao and Rui Yan. Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. Proceedings of EMNLP 2022.

• Xin Cheng, Shen Gao, Lemao Liu, Dongyan Zhao and Rui Yan. Neural Machine Translation with Contrastive Translation Memories. Proceedings of EMNLP 2022.

• Yi Chen, Haiyun Jiang, Lemao Liu, Rui Wang, Shuming Shi and Ruifeng Xu. MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation. Proceedings of EMNLP 2022: Findings.

• Jiahao Xu, Yubin Ruan, Wei Bi, Guoping Huang, Shuming Shi, Lihui Chen, Lemao Liu. On Synthetic Data for Back Translation. Proceedings of NAACL 2022. [code]

2021

• Jing Qian, Yibin Liu, Lemao Liu, Yangming Li, Haiyun Jiang, Haisong Zhang and Shuming Shi. Fine-grained Entity Typing without Knowledge Base. Proceedings of EMNLP 2021. [data]

• 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. Proceedings of EMNLP 2021.

• Yangming Li, Lemao Liu and Shuming Shi. Segmenting Natural Language Sentences via Lexical Unit Analysis. Proceedings of EMNLP 2021: Findings. (short) [code]

• 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. Proceedings of EMNLP 2021: Findings.

• Deng Cai, Yan Wang, Huayang Li, Wai Lam and Lemao Liu. Neural Machine Translation with Monolingual Translation Memory. Proceedings of ACL 2021. (Outstanding Paper Award) [code]

• Huayang Li, Lemao Liu, Guoping Huang and Shuming Shi. GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation. Proceedings of ACL 2021. [data]

• Qiuxiang He, Guoping Huang, Qu Cui, Li Li and Lemao Liu. Fast and Accurate Neural Machine Translation with Translation Memory. Proceedings of 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. Proceedings of ACL 2021.

• Zhangming Chan, Lemao Liu, Juntao Li, Haisong Zhang, Dongyan Zhao, Shuming Shi and Rui Yan. Enhancing the Open-Domain Dialogue Evaluation in Latent Space. Proceedings of ACL 2021: Findings.

• Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian and Lemao Liu. Assessing Dialogue Systems with Distribution Distances. Proceedings of ACL 2021: Findings. (short) [code]

• Lemao Liu, Haisong Zhang, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, dick zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, ZhanHui Kang and Shuming Shi. TexSmart: A System for Enhanced Natural Language Understanding. Proceedings of ACL 2021: Demo. [sdk] [fine-grained-ner-data]

• Yangming Li, Lemao Liu and Kaisheng Yao. Neural Sequence Segmentation as Determining the Leftmost Segments. Proceedings of NAACL 2021. [code]

• Yangming Li, Lemao Liu and Shuming Shi. Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition. Proceedings of ICLR 2021. [code]

• Xintong Li, Lemao Liu, Zhaopeng Tu, Guanlin Li, Max Meng and Shuming Shi. Attending from Foresight: A Novel Attention Mechanism for Neural Machine Translation. In Journal of IEEE/ACM Trans. on Audio, Speech and Language Processing, 2021.

• Guanlin Li, Lemao Liu, Rui Wang, Conghui Zhu, Tiejun Zhao and Shuming Shi. Detecting and Understanding Generalization Barriers for Neural Machine Translation. In Journal of IEEE/ACM Trans. on Audio, Speech and Language Processing, 2021.

2020

• Xintong Li, Lemao Liu, Rui Wang, Guoping Huang and Max Meng. Regularized Context Gates on Transformer for Machine Translation. Proceedings of ACL 2020. (short)

• Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang and Shuming Shi. Evaluating Explanation Methods for Neural Machine Translation. Proceedings of ACL 2020.

• Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi. On the Branching Bias of Syntax Extracted from Pre-trained Language Models. EMNLP (Findings) 2020. (short)

• Qian Wang, Jiajun Zhang, Lemao Liu, Guoping Huang, Chengqing Zong. Touch Editing: A Flexible One-Time Interaction Approach for Translation. Proceedings of AACL-IJCNLP 2020.

• Huayang Li, Guoping Huang, Deng Cai, Lemao Liu. Neural Machine Translation with Noisy Lexical Constraints. In Journal of IEEE/ACM Trans. on Audio, Speech and Language Processing, 2020. [data]

• Lemao Liu, Andrew Finch, Masao Utiyama and Eiichiro Sumita. Agreement on Target-bidirectional Recurrent Neural Networks for Sequence-to-Sequence Learning. In Journal of Artificial Intelligence Research, 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. Proceedings of AAAI 2020.

Before 2020

• Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao. Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization. Proceedings of EMNLP-IJCNLP 2019. (short)

• Xintong Li, Guanlin Li, Lemao Liu, Max Meng and Shuming Shi. On the Word Alignment from Neural Machine Translation. Proceedings of ACL 2019.

• Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, and Shuming Shi. Understanding and Improving Hidden Representations for Neural Machine Translation. Proceedings of NAACL 2019.

• Mengzhou Xia, Guoping Huang, Lemao Liu, and Shuming Shi. Graph-based Translation Memory for Neural Machine Translation. Proceedings of AAAI 2019.

• Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao and Shuming Shi. Automatic Article Commenting: the Task and Dataset. Proceedings of ACL 2018. (short) [data]

• Xintong Li, Lemao Liu, Zhaopeng Tu, Max Meng and Shuming Shi. Target foresight based attention for neural machine translation. Proceedings of NAACL 2018.

• Lemao Liu, Muhua Zhu and Shuming Shi. Improving Sequence-to-Sequence Constituency Parsing. Proceedings of AAAI 2018.

• Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu, Akihiro Tamura, Rui Wang, Masao Utiyama and Eiichiro Sumita. A Neural Approach to Source Dependency-based Context Model for Statistic Machine Translation. In Journal of IEEE/ACM Trans. on Audio, Speech and Language Processing, 2018.

• Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen and Eiichiro Sumita. Instance Weighting for Neural Machine Translation Domain Adaptation. In Proceedings of 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. In Proceedings of EMNLP 2017. (short) 

• Lemao Liu, Atsushi Fujita, Masao Utiyama, Andrew Finch and Eiichiro Sumita. Translation Quality Estimation Using Only Bilingual Corpora. In Journal of IEEE/ACM Trans. on Audio, Speech and Language Processing, 2017. [paper]

• Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita. Deterministic Attention for Sequence-to-Sequence Constituent Parsing. In Proceedings of AAAI 2017. [paper]

• Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu. Translation Prediction with Source Dependency-Based Context Representation. In Proceedings of AAAI 2017. [paper]

• Lemao Liu, Masao Utiyama, Andrew Finch, Eiichiro Sumita. Neural Machine Translation with Supervised Attention. In Proceedings of COLING 2016. [paper]

• Lemao Liu, Masao Utiyama, Andrew Finch, Eiichiro Sumita. Agreement on Target-bidirectional Neural Machine Translation. In Proceedings of NAACL 2016 (short). [paper]

• Peng Shen, Xugang Lu, Lemao Liu, Hisashi Kawai. Local Fisher Discriminant Analysis for Spoken Language Identification. In Proceedings of ICASSP 2016. [paper]

• Lemao Liu, Andrew Finch, Masao Utiyama, Eiichiro Sumita. Agreement on Target-bidirectional LSTMs for Sequence-to-Sequence Learning. In Proceedings of AAAI 2016. [paper] [code]

• Andrew Finch, Lemao Liu, Xiaolin Wang, Eiichiro Sumita (2015). Neural Network Transduction Models in Transliteration Generation. In Proceedings of ACL Workshops on NEWS 2015. [paper]

• Lemao Liu, Liang Huang. Search-aware Tuning for Machine Translation. In Proceedings of EMNLP 2014. [paper]

• Lemao Liu, Tiejun Zhao, Taro Watanabe, Hailong Cao, Conghui Zhu. Discriminative Training for Log-Linear Based SMT: Global or Local Methods. In Journal of ACM Trans. on Asian Lang. Inform. Proc. 2014. [paper]

• Lemao Liu. Research on Discriminative Training Methods for Statistical Machine Translation. Ph.d Thesis at Harbin Inst. of Tech, 2013. [paper] [Chinese version]

• Lemao Liu, Taro Watanabe, Eiichiro Sumita, Tiejun Zhao. Additive Neural Networks for Statistical Machine Translation. In Proceedings of ACL 2013. [paper]

• Lemao Liu, Tiejun Zhao, Taro Watanabe, Eiichiro Sumita. Tuning SMT with A Large Number of Features via Online Feature Grouping. In Proceedings of IJCNLP 2013. (short) [paper]

• Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu. Locally Training the Log-linear Model for SMT. In Proceedings of EMNLP-CoNLL 2012. [paper]

• Lemao Liu, Tiejun Zhao, Taro Watanabe, Hailong Cao, Conghui Zhu. Expected Error Rate Minimization based on Ultraconservative Updata for SMT. In Proceedings of COLING 2012. [paper]

• Lemao Liu, Tiejun Zhao, Hailong Cao, Conghui Zhu, Chunyue Zhang. Hierarchical partition model based on markov random fields for hierarchical phrase-based machine translation. In Journal of Software 2012. [paper] [Chinese version]