NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (80)

cs.CL2018

Optimizing Segmentation Granularity for Neural Machine Translation

Elizabeth Salesky, Andrew Runge, Alex Coda +2

cs.CL2018

Stack-Pointer Networks for Dependency Parsing

Xuezhe Ma, Zecong Hu, Jingzhou Liu +3

cs.LG2017

On-the-fly Operation Batching in Dynamic Computation Graphs

Graham Neubig, Yoav Goldberg, Chris Dyer

cs.CL2018

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

Odette Scharenborg, Laurent Besacier, Alan Black +16

cs.LG2018

Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates

Hiroaki Hayashi, Jayanth Koushik, Graham Neubig

cs.CL2017

Learning to Translate in Real-time with Neural Machine Translation

Jiatao Gu, Graham Neubig, Kyunghyun Cho +1

cs.CL2019

Competence-based Curriculum Learning for Neural Machine Translation

Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig +2

cs.CL2018

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

Ye Qi, Devendra Singh Sachan, Matthieu Felix +2

cs.CL2017

What Do Recurrent Neural Network Grammars Learn About Syntax?

Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong +3

cs.CL2019

Improving Robustness of Machine Translation with Synthetic Noise

Vaibhav Vaibhav, Sumeet Singh, Craig Stewart +1

cs.CL2019

Learning to Describe Phrases with Local and Global Contexts

Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga +4

cs.CL2018

Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations

Aditi Chaudhary, Chunting Zhou, Lori Levin +3

cs.CL2015

Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015

Graham Neubig, Makoto Morishita, Satoshi Nakamura

cs.CL2016

Lexicons and Minimum Risk Training for Neural Machine Translation: NAIST-CMU at WAT2016

Graham Neubig

cs.CL2019

Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation

Nikolai Vogler, Craig Stewart, Graham Neubig

cs.CL2017

Learning Character-level Compositionality with Visual Features

Frederick Liu, Han Lu, Chieh Lo +1

cs.CL2019

Choosing Transfer Languages for Cross-Lingual Learning

Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee +10

cs.CL2018

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

Pengcheng Yin, Graham Neubig

cs.CL2017

CharManteau: Character Embedding Models For Portmanteau Creation

Varun Gangal, Harsh Jhamtani, Graham Neubig +2

cs.CL2019

An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation

Xiang Kong, Bohan Li, Graham Neubig +2

cs.CL2018

Multi-Source Neural Machine Translation with Missing Data

Yuta Nishimura, Katsuhito Sudoh, Graham Neubig +1

cs.CL2018

Contextual Encoding for Translation Quality Estimation

Junjie Hu, Wei-Cheng Chang, Yuexin Wu +1

cs.CL2017

Neural Machine Translation via Binary Code Prediction

Yusuke Oda, Philip Arthur, Graham Neubig +2

cs.CL2018

SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation

Xinyi Wang, Hieu Pham, Zihang Dai +1

cs.CL2017

Stronger Baselines for Trustable Results in Neural Machine Translation

Michael Denkowski, Graham Neubig

cs.CL2018

Guiding Neural Machine Translation with Retrieved Translation Pieces

Jingyi Zhang, Masao Utiyama, Eiichro Sumita +2

cs.CL2018

Multi-Source Neural Machine Translation with Data Augmentation

Yuta Nishimura, Katsuhito Sudoh, Graham Neubig +1

cs.LG2017

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

Kartik Goyal, Graham Neubig, Chris Dyer +1

cs.CL2019

Generalized Data Augmentation for Low-Resource Translation

Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos +1

cs.CL2018

A Tree-based Decoder for Neural Machine Translation

Xinyi Wang, Hieu Pham, Pengcheng Yin +1

cs.CL2016

Generalizing and Hybridizing Count-based and Neural Language Models

Graham Neubig, Chris Dyer

cs.CL2019

Self-Attentional Models for Lattice Inputs

Matthias Sperber, Graham Neubig, Ngoc-Quan Pham +1

cs.CL2019

On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

Paul Michel, Xian Li, Graham Neubig +1

stat.ML2017

DyNet: The Dynamic Neural Network Toolkit

Graham Neubig, Chris Dyer, Yoav Goldberg +22

cs.CL2018

Parameter Sharing Methods for Multilingual Self-Attentional Translation Models

Devendra Singh Sachan, Graham Neubig

cs.CL2017

A Syntactic Neural Model for General-Purpose Code Generation

Pengcheng Yin, Graham Neubig

cs.CL2017

Neural Lattice-to-Sequence Models for Uncertain Inputs

Matthias Sperber, Graham Neubig, Jan Niehues +1

cs.CL2018

Extreme Adaptation for Personalized Neural Machine Translation

Paul Michel, Graham Neubig

cs.CL2019

Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation

Matthias Sperber, Graham Neubig, Jan Niehues +1

cs.CL2018

Neural Cross-Lingual Named Entity Recognition with Minimal Resources

Jiateng Xie, Zhilin Yang, Graham Neubig +2

cs.CL2018

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections

Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

cs.CL2018

Attentive Interaction Model: Modeling Changes in View in Argumentation

Yohan Jo, Shivani Poddar, Byungsoo Jeon +3

cs.LG2018

Controllable Invariance through Adversarial Feature Learning

Qizhe Xie, Zihang Dai, Yulun Du +2

cs.CL2018

MTNT: A Testbed for Machine Translation of Noisy Text

Paul Michel, Graham Neubig

cs.CL2019

The ARIEL-CMU Systems for LoReHLT18

Aditi Chaudhary, Siddharth Dalmia, Junjie Hu +27

cs.CL2018

Retrieval-Based Neural Code Generation

Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru +3

cs.CL2018

Stress Test Evaluation for Natural Language Inference

Aakanksha Naik, Abhilasha Ravichander, Norman Sadeh +2

cs.CL2018

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

Pengcheng Yin, Bowen Deng, Edgar Chen +2

cs.CL2016

Morphological Inflection Generation Using Character Sequence to Sequence Learning

Manaal Faruqui, Yulia Tsvetkov, Graham Neubig +1

cs.CL2018

Zero-shot Neural Transfer for Cross-lingual Entity Linking

Shruti Rijhwani, Jiateng Xie, Graham Neubig +1

cs.CL2018

Self-Attentional Acoustic Models

Matthias Sperber, Jan Niehues, Graham Neubig +2

cs.CL2017

Convolutional Neural Networks for Medical Diagnosis from Admission Notes

Christy Li, Dimitris Konomis, Graham Neubig +3

cs.LG2017

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

Hao Zhang, Shizhen Xu, Graham Neubig +4

cs.CL2018

Contextual Parameter Generation for Universal Neural Machine Translation

Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig +1

cs.CL2018

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

Pengcheng Yin, Chunting Zhou, Junxian He +1

cs.CL2018

Rapid Adaptation of Neural Machine Translation to New Languages

Graham Neubig, Junjie Hu

cs.LG2019

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

Junxian He, Daniel Spokoyny, Graham Neubig +1

cs.CL2018

Neural Factor Graph Models for Cross-lingual Morphological Tagging

Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig

cs.LG2017

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

Xuezhe Ma, Pengcheng Yin, Jingzhou Liu +2

cs.CL2017

Transcribing Against Time

Matthias Sperber, Graham Neubig, Jan Niehues +2

cs.CL2018

XNMT: The eXtensible Neural Machine Translation Toolkit

Graham Neubig, Matthias Sperber, Xinyi Wang +10

cs.CL2017

Learning Language Representations for Typology Prediction

Chaitanya Malaviya, Graham Neubig, Patrick Littell

cs.CL2016

Incorporating Discrete Translation Lexicons into Neural Machine Translation

Philip Arthur, Graham Neubig, Satoshi Nakamura

cs.CL2019

Findings of the First Shared Task on Machine Translation Robustness

Xian Li, Paul Michel, Antonios Anastasopoulos +7

cs.CL2019

Domain Adaptation of Neural Machine Translation by Lexicon Induction

Junjie Hu, Mengzhou Xia, Graham Neubig +1

cs.CL2017

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

Graham Neubig

cs.CL2017

Improving Neural Machine Translation through Phrase-based Forced Decoding

Jingyi Zhang, Masao Utiyama, Eiichro Sumita +2

cs.CL2019

Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation

Xinyi Wang, Graham Neubig

cs.CL2018

Automatic Estimation of Simultaneous Interpreter Performance

Craig Stewart, Nikolai Vogler, Junjie Hu +2

cs.CL2016

Controlling Output Length in Neural Encoder-Decoders

Yuta Kikuchi, Graham Neubig, Ryohei Sasano +2

cs.CL2018

Findings of the Second Workshop on Neural Machine Translation and Generation

Alexandra Birch, Andrew Finch, Minh-Thang Luong +2

cs.CL2017

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

Makoto Morishita, Yusuke Oda, Graham Neubig +3

cs.CL2018

Handling Homographs in Neural Machine Translation

Frederick Liu, Han Lu, Graham Neubig

cs.CL2018

Neural Lattice Language Models

Jacob Buckman, Graham Neubig

cs.CL2019

Improving Open Information Extraction via Iterative Rank-Aware Learning

Zhengbao Jiang, Pengcheng Yin, Graham Neubig

cs.LG2019

Learning to Represent Edits

Pengcheng Yin, Graham Neubig, Miltiadis Allamanis +2

cs.CL2019

Multilingual Neural Machine Translation With Soft Decoupled Encoding

Xinyi Wang, Hieu Pham, Philip Arthur +1

cs.CL2019

Mitigating Noisy Inputs for Question Answering

Denis Peskov, Joe Barrow, Pedro Rodriguez +2

The paper studies how errors from automatic speech recognition affect factoid question answering systems and proposes methods—integrating confidence scores and forced decoding of u…

#question answering#speech recognition noise#robust NLP#confidence integration
cs.SE2019

Learning to Generate Corrective Patches using Neural Machine Translation

Hideaki Hata, Emad Shihab, Graham Neubig

cs.CL2018

Towards a General-Purpose Linguistic Annotation Backend

Graham Neubig, Patrick Littell, Chian-Yu Chen +4