| CoSQL: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases T Yu, R Zhang, HY Er, S Li, E Xue, B Pang, XV Lin, YC Tan, T Shi, Z Li, ... Proceedings of EMNLP, 1962–1979, 2019 | 100 | 2019 |
| Editing-based SQL query generation for cross-domain context-dependent questions R Zhang, T Yu, HY Er, S Shim, E Xue, XV Lin, T Shi, C Xiong, R Socher, ... Proceedings of EMNLP, 5338–5349, 2019 | 74 | 2019 |
| Learning Cross-lingual Word Embeddings via Matrix Co-factorization. T Shi, Z Liu, Y Liu, M Sun Proceedings of ACL-IJCNLP, 567-572, 2015 | 74 | 2015 |
| Incsql: Training incremental text-to-sql parsers with non-deterministic oracles T Shi, K Tatwawadi, K Chakrabarti, Y Mao, O Polozov, W Chen arXiv preprint arXiv:1809.05054, 2018 | 71 | 2018 |
| On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries T Shi, C Zhao, J Boyd-Graber, H Daumé III, L Lee Findings of EMNLP, 1849–1864, 2020 | 68 | 2020 |
| Linking GloVe with word2vec T Shi, Z Liu arXiv preprint arXiv:1411.5595, 2014 | 58 | 2014 |
| Evaluating the impact of model scale for compositional generalization in semantic parsing L Qiu, P Shaw, P Pasupat, T Shi, J Herzig, E Pitler, F Sha, K Toutanova arXiv preprint arXiv:2205.12253, 2022 | 55 | 2022 |
| Fast (er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set T Shi, L Huang, L Lee Proceedings of EMNLP, 12-23, 2017 | 50 | 2017 |
| Combining Global Models for Parsing Universal Dependencies T Shi, FG Wu, X Chen, Y Cheng Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw …, 2017 | 33 | 2017 |
| Global transition-based non-projective dependency parsing C Gómez-Rodríguez, T Shi, L Lee Proceedings of ACL, 2664–2675, 2018 | 21 | 2018 |
| Semantic Role Labeling as Syntactic Dependency Parsing T Shi, I Malioutov, O Irsoy Proceedings of EMNLP, 7551–7571, 2020 | 20 | 2020 |
| Diversity-Aware Batch Active Learning for Dependency Parsing T Shi, A Benton, I Malioutov, O İrsoy Proceedings of NAACL, 2616–2626, 2021 | 15 | 2021 |
| Learning syntax from naturally-occurring bracketings T Shi, O Irsoy, I Malioutov, L Lee Proceedings of NAACL, 2941–2949, 2021 | 10 | 2021 |
| A Measure of Phonetic Similarity to Quantify Pronunciation Variation by Using ASR Technology T Shi, S Kasahara, T Pongkittiphan, N Minematsu, D Saito, K Hirose Proceedings of ICPhS, 2015 | 9 | 2015 |
| TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic-to Individual-Language Finetuning T Shi, L Lee Proceedings of IWPT, 213–224, 2021 | 7 | 2021 |
| Valency-augmented dependency parsing T Shi, L Lee Proceedings of EMNLP, 1277-1291, 2018 | 7 | 2018 |
| Extracting headless mwes from dependency parse trees: Parsing, tagging, and joint modeling approaches T Shi, L Lee Proceedings of ACL, 8780–8794, 2020 | 3 | 2020 |
| Weakly supervised headline dependency parsing A Benton, T Shi, O Irsoy, I Malioutov arXiv preprint arXiv:2301.10371, 2023 | 1 | 2023 |
| Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction T Shi, L Lee Proceedings of ACL, 7167–7182, 2021 | 1 | 2021 |
| Enhanced Representations and Efficient Analysis of Syntactic Dependencies Within and Beyond Tree Structures T Shi Cornell University, 2021 | 1 | 2021 |
Lillian LeeProfessor of Computer Science, Cornell University. Pls see my homepg for data+updates+slides+etcVerified email at cs.cornell.edu
