Tianze Shi
Tianze Shi
Cornell University
Verified email at cs.cornell.edu - Homepage
TitleCited byYear
Learning Cross-lingual Word Embeddings via Matrix Co-factorization.
T Shi, Z Liu, Y Liu, M Sun
Proceedings of ACL-IJCNLP, 567-572, 2015
462015
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
162017
Linking GloVe with word2vec
T Shi, Z Liu
arXiv preprint arXiv:1411.5595, 2014
162014
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
112018
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
102017
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
52015
Global transition-based non-projective dependency parsing
C Gómez-Rodríguez, T Shi, L Lee
arXiv preprint arXiv:1807.01745, 2018
42018
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
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, ...
arXiv preprint arXiv:1909.00786, 2019
2019
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
2018
Valency-Augmented Dependency Parsing
T Shi, L Lee
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
2018
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Articles 1–11