Tianze Shi
Tianze Shi
Verified email at cs.cornell.edu - Homepage
Cited by
Cited by
Learning Cross-lingual Word Embeddings via Matrix Co-factorization.
T Shi, Z Liu, Y Liu, M Sun
Proceedings of ACL-IJCNLP, 567-572, 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
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
Linking GloVe with word2vec
T Shi, Z Liu
arXiv preprint arXiv:1411.5595, 2014
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
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, ...
arXiv preprint arXiv:1909.05378, 2019
Global transition-based non-projective dependency parsing
C Gómez-Rodríguez, T Shi, L Lee
arXiv preprint arXiv:1807.01745, 2018
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, ...
arXiv preprint arXiv:1909.00786, 2019
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
Valency-augmented dependency parsing
T Shi, L Lee
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Semantic Role Labeling as Syntactic Dependency Parsing
T Shi, I Malioutov, O İrsoy
arXiv preprint arXiv:2010.11170, 2020
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches
T Shi, L Lee
arXiv preprint arXiv:2005.03035, 2020
Learning Syntax from Naturally-Occurring Bracketings
T Shi, O İrsoy, I Malioutov, L Lee
arXiv preprint arXiv:2104.13933, 2021
Diversity-Aware Batch Active Learning for Dependency Parsing
T Shi, A Benton, I Malioutov, O İrsoy
arXiv preprint arXiv:2104.13936, 2021
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
arXiv preprint arXiv:2010.11246, 2020
Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers
T Shi, C Gómez-Rodríguez, L Lee
arXiv preprint arXiv:1804.10615, 2018
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