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Recent years pretrained language models (PLMs) hit a success on several downstream tasks, showing their power on modeling language.
A comprehensive exploration on wikisql with table-aware word contextualization
Wonseok Hwang, Jinyeung Yim, Seunghyun Park, and Minjoon Seo. 2019 · 1902
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Grammar-based neural text-to-sql generation
Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, and Matt Gardner. 2019a · 1905
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Learning to parse database queries using inductive logic programming
John M. Zelle and Raymond J. Mooney. 1996 · 1996
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Grounding words in perception and action: computational insights
Deb Roy. 2005 · 2005
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Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars
Luke Zettlemoyer and Michael Collins. 2005 · 2005
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Can neural networks acquire a structural bias from raw linguistic data?
Alex Warstadt and Samuel R. Bowman. 2020 · 2007
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Is supervised syntactic parsing beneficial for language understanding? an empirical investigation
Goran Glavas and Ivan Vulic. 2020 · 2008
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Learning dependency-based compositional semantics
Percy Liang, Michael I. Jordan, and Dan Klein. 2013 · 2013
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Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang. 2015 · 2015
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”what is relevant in a text document?”: An interpretable machine learning approach
Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, and Wojciech Samek. 2016 · 2016
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Transforming dependency structures to logical forms for semantic parsing
Siva Reddy, Oscar Täckström, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, and Mirella Lapata. 2016 · 2016
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Visual7w: Grounded question answering in images
Yuke Zhu, Oliver Groth, Michael S. Bernstein, and Li Fei-Fei. 2016 · 2016
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Learning structured natural language representations for semantic parsing
Jianpeng Cheng, Siva Reddy, Vijay Saraswat, and Mirella Lapata. 2017 · 2017
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Evaluating the visualization of what a deep neural network has learned
W. Samek, A. Binder, G. Montavon, S. Lapuschkin, and K. Müller. 2017 · 2017
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Entity linking for queries by searching Wikipedia sentences
Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, and Ming Zhou. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Short text entity linking with fine-grained topics
Lihan Chen, Jiaqing Liang, Chenhao Xie, and Yanghua Xiao. 2018 · 2018
Cited alongside, same era.
Mixing context granularities for improved entity linking on question answering data across entity categories
Daniil Sorokin and Iryna Gurevych. 2018 · 2018
Cited alongside, same era.
TypeSQL: Knowledge-based type-aware neural text-to-SQL generation
Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, and Dragomir Radev. 2018a · 2018
Cited alongside, same era.
Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-SQL task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, and Dragomir Radev. 2018b · 2018
Cited alongside, same era.
Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller. 2019 · 2019
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What do you learn from context? probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R. Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, and Ellie Pavlick. 2019 · 2019
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Explicit utilization of general knowledge in machine reading comprehension
Chao Wang and Hui Jiang. 2019 · 2019
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Grounded video description
Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, and Marcus Rohrbach. 2019 · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Data-anonymous encoding for text-to-SQL generation
Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, and Dongmei Zhang. 2019 · 2019
Cited alongside, same era.
Towards complex text-to-SQL in cross-domain database with intermediate representation
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, and Dongmei Zhang. 2019 · 2019
Cited alongside, same era.
Designing and interpreting probes with control tasks
John Hewitt and Percy Liang. 2019 · 2019
Cited alongside, same era.
A structural probe for finding syntax in word representations
John Hewitt and Christopher D. Manning. 2019 · 2019
Cited alongside, same era.
What does BERT learn about the structure of language?
Ganesh Jawahar, Benoît Sagot, and Djamé Seddah. 2019 · 2019
Cited alongside, same era.
Open sesame: Getting inside BERT’s linguistic knowledge
Yongjie Lin, Yi Chern Tan, and Robert Frank. 2019b · 2019
Cited alongside, same era.
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A tale of two linkings: Dynamically gating between schema linking and structural linking for text-to-SQL parsing
Sanxing Chen, Aidan San, Xiaodong Liu, and Yangfeng Ji. 2020 · 2020
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What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger. 2020 · 2020
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Re-examining the role of schema linking in text-to-SQL
Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, and Tat-Seng Chua. 2020 · 2020
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Efficient one-pass end-to-end entity linking for questions
Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, and Wen-tau Yih. 2020a · 2020
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“what do you mean by that?” a parser-independent interactive approach for enhancing text-to-SQL
Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, and Dongmei Zhang. 2020b · 2020
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Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing
Xi Victoria Lin, Richard Socher, and Caiming Xiong. 2020 · 2020
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A primer in bertology: What we know about how bert works
Anna Rogers, Olga Kovaleva, and Anna Rumshisky. 2020 · 2020
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On the potential of lexico-logical alignments for semantic parsing to SQL queries
Tianze Shi, Chen Zhao, Jordan Boyd-Graber, Hal Daumé III, and Lillian Lee. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Perturbed masking: Parameter-free probing for analyzing and interpreting BERT
Zhiyong Wu, Yun Chen, Ben Kao, and Qun Liu. 2020 · 2020
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