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Learning Structural Edits via Incremental Tree Transformations


Jan 28, 2021
Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig

* ICLR 2021 

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TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data


May 17, 2020
Pengcheng Yin, Graham Neubig, Wen-tau Yih, Sebastian Riedel

* To Appear at ACL 2020 

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Incorporating External Knowledge through Pre-training for Natural Language to Code Generation


Apr 20, 2020
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig

* Accepted by ACL 2020 

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Merging Weak and Active Supervision for Semantic Parsing


Nov 29, 2019
Ansong Ni, Pengcheng Yin, Graham Neubig

* AAAI 2020 Main Track [Oral] (To appear) 

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Improving Open Information Extraction via Iterative Rank-Aware Learning


May 31, 2019
Zhengbao Jiang, Pengcheng Yin, Graham Neubig

* Proceedings of ACL 2019 

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High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks


May 28, 2019
Haohan Wang, Xindi Wu, Pengcheng Yin, Eric P. Xing


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Learning to Represent Edits


Oct 31, 2018
Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt


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Retrieval-Based Neural Code Generation


Aug 29, 2018
Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig

* This paper is accepted in EMNLP 2018. It has 6 pages 

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A Tree-based Decoder for Neural Machine Translation


Aug 28, 2018
Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig

* Accepted as a short paper at the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018) 

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StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing


Jun 20, 2018
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig

* ACL 2018 

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Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow


May 23, 2018
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig

* MSR '18 

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Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML


Oct 27, 2017
Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard Hovy

* Under Review of ICLR 2018 

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A Syntactic Neural Model for General-Purpose Code Generation


Apr 06, 2017
Pengcheng Yin, Graham Neubig

* To appear in ACL 2017 

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DyNet: The Dynamic Neural Network Toolkit


Jan 15, 2017
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin

* 33 pages 

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Neural Enquirer: Learning to Query Tables with Natural Language


Jan 21, 2016
Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao


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