Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Merging Weak and Active Supervision for Semantic Parsing

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

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

  Access Paper or Ask Questions

Improving Open Information Extraction via Iterative Rank-Aware Learning

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

* Proceedings of ACL 2019 

  Access Paper or Ask Questions

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

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


  Access Paper or Ask Questions

Learning to Represent Edits

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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

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

* ACL 2018 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

A Syntactic Neural Model for General-Purpose Code Generation

Apr 06, 2017
Pengcheng Yin, Graham Neubig

* To appear in ACL 2017 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Neural Enquirer: Learning to Query Tables with Natural Language

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


  Access Paper or Ask Questions