no code implementations • 25 Jan 2023 • Adrian Benton, Tianze Shi, Ozan İrsoy, Igor Malioutov
English news headlines form a register with unique syntactic properties that have been documented in linguistics literature since the 1930s.
no code implementations • 24 May 2022 • Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, Kristina Toutanova
Meanwhile, recent work has shown considerable improvements on many NLP tasks from model scaling.
no code implementations • ACL (IWPT) 2021 • Tianze Shi, Lillian Lee
We present our contribution to the IWPT 2021 shared task on parsing into enhanced Universal Dependencies.
1 code implementation • ACL 2021 • Tianze Shi, Lillian Lee
We propose a transition-based bubble parser to perform coordination structure identification and dependency-based syntactic analysis simultaneously.
1 code implementation • NAACL 2021 • Tianze Shi, Adrian Benton, Igor Malioutov, Ozan İrsoy
While the predictive performance of modern statistical dependency parsers relies heavily on the availability of expensive expert-annotated treebank data, not all annotations contribute equally to the training of the parsers.
1 code implementation • NAACL 2021 • Tianze Shi, Ozan İrsoy, Igor Malioutov, Lillian Lee
Naturally-occurring bracketings, such as answer fragments to natural language questions and hyperlinks on webpages, can reflect human syntactic intuition regarding phrasal boundaries.
1 code implementation • EMNLP 2020 • Tianze Shi, Igor Malioutov, Ozan İrsoy
We reduce the task of (span-based) PropBank-style semantic role labeling (SRL) to syntactic dependency parsing.
2 code implementations • Findings of the Association for Computational Linguistics 2020 • Tianze Shi, Chen Zhao, Jordan Boyd-Graber, Hal Daumé III, Lillian Lee
Large-scale semantic parsing datasets annotated with logical forms have enabled major advances in supervised approaches.
1 code implementation • ACL 2020 • Tianze Shi, Lillian Lee
An interesting and frequent type of multi-word expression (MWE) is the headless MWE, for which there are no true internal syntactic dominance relations; examples include many named entities ("Wells Fargo") and dates ("July 5, 2020") as well as certain productive constructions ("blow for blow", "day after day").
3 code implementations • IJCNLP 2019 • Tao Yu, Rui Zhang, He Yang 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 Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir Radev
We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems.
Ranked #8 on Dialogue State Tracking on CoSQL
3 code implementations • IJCNLP 2019 • Rui Zhang, Tao Yu, He Yang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev
We focus on the cross-domain context-dependent text-to-SQL generation task.
Ranked #5 on Text-To-SQL on SParC
1 code implementation • EMNLP 2018 • Tianze Shi, Lillian Lee
We present a complete, automated, and efficient approach for utilizing valency analysis in making dependency parsing decisions.
no code implementations • 13 Sep 2018 • Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti, Yi Mao, Oleksandr Polozov, Weizhu Chen
We present a sequence-to-action parsing approach for the natural language to SQL task that incrementally fills the slots of a SQL query with feasible actions from a pre-defined inventory.
1 code implementation • ACL 2018 • Carlos Gómez-Rodríguez, Tianze Shi, Lillian Lee
Shi, Huang, and Lee (2017) obtained state-of-the-art results for English and Chinese dependency parsing by combining dynamic-programming implementations of transition-based dependency parsers with a minimal set of bidirectional LSTM features.
1 code implementation • NAACL 2018 • Tianze Shi, Carlos Gómez-Rodríguez, Lillian Lee
We generalize Cohen, G\'omez-Rodr\'iguez, and Satta's (2011) parser to a family of non-projective transition-based dependency parsers allowing polynomial-time exact inference.
1 code implementation • EMNLP 2017 • Tianze Shi, Liang Huang, Lillian Lee
We first present a minimal feature set for transition-based dependency parsing, continuing a recent trend started by Kiperwasser and Goldberg (2016a) and Cross and Huang (2016a) of using bi-directional LSTM features.
no code implementations • CONLL 2017 • Tianze Shi, Felix G. Wu, Xilun Chen, Yao Cheng
We describe our entry, C2L2, to the CoNLL 2017 shared task on parsing Universal Dependencies from raw text.
no code implementations • 20 Nov 2014 • Tianze Shi, Zhiyuan Liu
The Global Vectors for word representation (GloVe), introduced by Jeffrey Pennington et al. is reported to be an efficient and effective method for learning vector representations of words.