Graham Neubig

Multi-Source Neural Machine Translation with Missing Data

Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, Satoshi Nakamura

Comments ACL 2018 Workshop on Neural Machine Translation and Generation

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

Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, Graham Neubig

Comments MSR '18

Extreme Adaptation for Personalized Neural Machine Translation

Paul Michel, Graham Neubig

Comments Accepted as a short paper at ACL 2018

Stack-Pointer Networks for Dependency Parsing

Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard Hovy

Comments Accepted by ACL-2018

When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?

Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Janani Padmanabhan, Graham Neubig

Comments NAACL 2018

Attentive Interaction Model: Modeling Changes in View in Argumentation

Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rose, Graham Neubig

Comments 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Guiding Neural Machine Translation with Retrieved Translation Pieces

Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Graham Neubig, Satoshi Nakamura

Comments NAACL 2018

Handling Homographs in Neural Machine Translation

Frederick Liu, Han Lu, Graham Neubig

Comments NAACL2018

Neural Lattice Language Models

Jacob Buckman, Graham Neubig

XNMT: The eXtensible Neural Machine Translation Toolkit

Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang

Comments To be presented at AMTA 2018 Open Source Software Showcase

Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

Odette Scharenborg, Laurent Besacier, Alan Black, Mark Hasegawa-Johnson, Florian Metze, Graham Neubig, Sebastian Stueker, Pierre Godard, Markus Mueller, Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang, Emmanuel Dupoux

Comments Accepted to ICASSP 2018

Controllable Invariance through Adversarial Feature Learning

Qizhe Xie, Zihang Dai, Yulun Du, Eduard Hovy, Graham Neubig

Comments NIPS 2017

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks

Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing

Comments Short versions of this paper were presented at AISys workshop@SOSP 2017 and MLSys workshop@NIPS 2017

Convolutional Neural Networks for Medical Diagnosis from Admission Notes

Christy Li, Dimitris Konomis, Graham Neubig, Pengtao Xie, Carol Cheng, Eric Xing

Improving Neural Machine Translation through Phrase-based Forced Decoding

Jingyi Zhang, Masao Utiyama, Eiichro Sumita, Graham Neubig, Satoshi Nakamura

Comments IJCNLP2017

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

Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard Hovy

Comments Under Review of ICLR 2018

A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models

Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick

Comments Updated for clarity and notational consistency

Transcribing Against Time

Matthias Sperber, Graham Neubig, Jan Niehues, Satoshi Nakamura, Alex Waibel

Comments Speech Communication, Oct 2017 (preprint)

Learning Language Representations for Typology Prediction

Chaitanya Malaviya, Graham Neubig, Patrick Littell

Comments EMNLP 2017

CharManteau: Character Embedding Models For Portmanteau Creation

Varun Gangal, Harsh Jhamtani, Graham Neubig, Eduard Hovy, Eric Nyberg

Comments Accepted for publication in EMNLP 2017

Neural Lattice-to-Sequence Models for Uncertain Inputs

Matthias Sperber, Graham Neubig, Jan Niehues, Alex Waibel

Comments EMNLP 2017

Stronger Baselines for Trustable Results in Neural Machine Translation

Michael Denkowski, Graham Neubig

Comments To appear at the Workshop on Neural Machine Translation (WNMT)

An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation

Makoto Morishita, Yusuke Oda, Graham Neubig, Koichiro Yoshino, Katsuhito Sudoh, Satoshi Nakamura

Comments 8 pages, accepted to the First Workshop on Neural Machine Translation

On-the-fly Operation Batching in Dynamic Computation Graphs

Graham Neubig, Yoav Goldberg, Chris Dyer

Learning Character-level Compositionality with Visual Features

Frederick Liu, Han Lu, Chieh Lo, Graham Neubig

Comments Accepted to ACL 2017

Neural Machine Translation via Binary Code Prediction

Yusuke Oda, Philip Arthur, Graham Neubig, Koichiro Yoshino, Satoshi Nakamura

Comments Accepted as a long paper at ACL2017

A Syntactic Neural Model for General-Purpose Code Generation

Pengcheng Yin, Graham Neubig

Comments To appear in ACL 2017

Neural Machine Translation and Sequence-to-sequence Models: A Tutorial

Graham Neubig

Comments 65 Pages

DyNet: The Dynamic Neural Network Toolkit

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

Comments 33 pages

What Do Recurrent Neural Network Grammars Learn About Syntax?

Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith

Comments 10 pages. To appear in EACL 2017, Valencia, Spain