| 2025 | ACL | Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models. | Lior Belenki, Alekh Agarwal, Tianze Shi, Kristina Toutanova |
| 2023 | SMC | A Practical, Robust, Accurate Gaze-Based Intention Inference Method for Everyday Human-Robot Interaction. | Haoyang Xu, Tao Wang, Yingjie Chen, Tianze Shi |
| 2022 | EMNLP | Weakly Supervised Headline Dependency Parsing. | Adrian Benton, Tianze Shi, Ozan Irsoy, Igor Malioutov |
| 2022 | EMNLP | Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing. | Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova |
| 2021 | ACL | Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction. | Tianze Shi, Lillian Lee |
| 2021 | NAACL | Diversity-Aware Batch Active Learning for Dependency Parsing. | Tianze Shi, Adrian Benton, Igor Malioutov, Ozan Irsoy |
| 2021 | NAACL | Learning Syntax from Naturally-Occurring Bracketings. | Tianze Shi, Ozan Irsoy, Igor Malioutov, Lillian Lee |
| 2020 | ACL | Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches. | Tianze Shi, Lillian Lee |
| 2020 | EMNLP | Semantic Role Labeling as Syntactic Dependency Parsing. | Tianze Shi, Igor Malioutov, Ozan Irsoy |
| 2020 | EMNLP | On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries. | Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daum III, Lillian Lee |
| 2019 | EMNLP | CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. | Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev |
| 2019 | EMNLP | Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. | Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev |
| 2018 | ACL | Global Transition-based Non-projective Dependency Parsing. | Carlos Gmez-Rodrguez, Tianze Shi, Lillian Lee |
| 2018 | EMNLP | Valency-Augmented Dependency Parsing. | Tianze Shi, Lillian Lee |
| 2018 | NAACL | Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers. | Tianze Shi, Carlos Gmez-Rodrguez, Lillian Lee |
| 2017 | CoNLL | Combining Global Models for Parsing Universal Dependencies. | Tianze Shi, Felix G. Wu, Xilun Chen, Yao Cheng |
| 2017 | EMNLP | Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set. | Tianze Shi, Liang Huang, Lillian Lee |
| 2015 | ACL | Learning Cross-lingual Word Embeddings via Matrix Co-factorization. | Tianze Shi, Zhiyuan Liu, Yang Liu, Maosong Sun |