← Authors

Graham Neubig

329 papers · 2011–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (43) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (15) 🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (11) 🏠 Conference Loyalist (88) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (11) 🀝 Dynamic Duo (26) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (48) 🌱 Topic Pioneer ⚑ Prolific Year (37) ❓ The Questioner (16) πŸ—ƒοΈ Keyword Collector (153) πŸš€ Conference Pioneer πŸ’Ž Century Club (327) πŸ”₯ Unstoppable (16) πŸ“ˆ Trend Setter

Conferences

ACL (88) EMNLP (85) NAACL (43) ICLR (27) IJCNLP (16) ICML (15) EACL (12) NIPS (12) INTERSPEECH (10) COLING (7) AAAI (5) CONLL (4) CVPR (2) AACL (1) ECCV (1) WACV (1)

Top co-authors

Antonios Anastasopoulos (26) Satoshi Nakamura (23) Pengfei Liu (20) Chunting Zhou (19) Junjie Hu (19) Junxian He (17) Shuyan Zhou (16) Pengcheng Yin (16) Xinyi Wang (16) Taylor Berg-Kirkpatrick (16)

Research topics

Education (1)

Keywords

neural machine translation (43) low-resource language (31) machine translation (26) cross-lingual transfer (25) language model (24) large language model (21) neural network (19) text generation (17) domain adaptation (15) zero-shot learning (13) data augmentation (12) code generation (11) transfer learning (11) attention mechanism (10) unsupervised learning (10) named entity recognition (10) semantic parsing (9) dependency parsing (9) semi-supervised learning (8) benchmark evaluation (8)

Papers

Coding Agents with Multimodal Browsing are Generalist Problem Solvers EACL 2026
Unsupervised Discovery of Long-Term Spatiotemporal Periodic Workflows in Human Activities WACV 2026
CAIRE: Cultural Attribution of Images with Retrieval EACL 2026
What Is Missing in Multilingual Visual Reasoning and How to Fix It NAACL 2025
Grounding Multilingual Multimodal LLMs With Cultural Knowledge EMNLP 2025
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions EMNLP 2025
Beyond Browsing: API-Based Web Agents ACL 2025
ESPnet-SpeechLM: An Open Speech Language Model Toolkit NAACL 2025
In-Context Learning with Long-Context Models: An In-Depth Exploration NAACL 2025
Towards Automatic Evaluation for Image Transcreation NAACL 2025
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models NAACL 2025
Benchmarking Failures in Tool-Augmented Language Models NAACL 2025
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length NAACL 2025
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation NAACL 2025
Synthetic Data in the Era of Large Language Models ACL 2025
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025
BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models ACL 2025
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ACL 2025
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale ACL 2025
Evaluating Language Models as Synthetic Data Generators ACL 2025
Demystifying Long Chain-of-Thought Reasoning ICML 2025
Agent Workflow Memory ICML 2025
Overtrained Language Models Are Harder to Fine-Tune ICML 2025
Training Software Engineering Agents and Verifiers with SWE-Gym ICML 2025
RAGGED: Towards Informed Design of Scalable and Stable RAG Systems ICML 2025
OpenHands: An Open Platform for AI Software Developers as Generalist Agents ICLR 2025
Repetition Improves Language Model Embeddings ICLR 2025
Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages ICLR 2025
Better Instruction-Following Through Minimum Bayes Risk ICLR 2025
Harnessing Webpage UIs for Text-Rich Visual Understanding ICLR 2025
AutoPresent: Designing Structured Visuals from Scratch CVPR 2025
CodeRAG-Bench: Can Retrieval Augment Code Generation? NAACL 2025
Language Modeling with Editable External Knowledge NAACL 2025
AgentDiagnose: An Open Toolkit for Diagnosing LLM Agent Trajectories EMNLP 2025
CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation NAACL 2025
Stereotype or Personalization? User Identity Biases Chatbot Recommendations ACL 2025
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text EMNLP 2024
Synthetic Multimodal Question Generation EMNLP 2024
Wav2Gloss: Generating Interlinear Glossed Text from Speech ACL 2024
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale NIPS 2024
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures NIPS 2024
Divergences between Language Models and Human Brains NIPS 2024
Instruction-tuned Language Models are Better Knowledge Learners ACL 2024
Learning Performance-Improving Code Edits ICLR 2024
WebArena: A Realistic Web Environment for Building Autonomous Agents ICLR 2024
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents ICLR 2024
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks ACL 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NIPS 2024
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP 2024
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks ICML 2024
Evaluating Text-to-Visual Generation with Image-to-Text Generation ECCV 2024
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach EACL 2024
Alignment for Honesty NIPS 2024
CMU’s IWSLT 2024 Offline Speech Translation System: A Cascaded Approach For Long-Form Robustness ACL 2024
CMU’s IWSLT 2024 Simultaneous Speech Translation System ACL 2024
DeMuX: Data-efficient Multilingual Learning NAACL 2024
Program-Aided Reasoners (Better) Know What They Know NAACL 2024
VIMI: Grounding Video Generation through Multi-modal Instruction EMNLP 2024
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance EMNLP 2024
Better Synthetic Data by Retrieving and Transforming Existing Datasets ACL 2024
SOTOPIA-Ο€: Interactive Learning of Socially Intelligent Language Agents ACL 2024
Execution-Based Evaluation for Open-Domain Code Generation EMNLP 2023
Why do Nearest Neighbor Language Models Work? ICML 2023
Cross-Modal Fine-Tuning: Align then Refine ICML 2023
PAL: Program-aided Language Models ICML 2023
AANG : Automating Auxiliary Learning ICLR 2023
DocPrompting: Generating Code by Retrieving the Docs ICLR 2023
Mega: Moving Average Equipped Gated Attention ICLR 2023
DiffusER: Diffusion via Edit-based Reconstruction ICLR 2023
Computational Language Acquisition with Theory of Mind ICLR 2023
Unlimiformer: Long-Range Transformers with Unlimited Length Input NIPS 2023
When Does Translation Require Context? A Data-driven, Multilingual Exploration ACL 2023
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions ACL 2023
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval ACL 2023
Multi-lingual and Multi-cultural Figurative Language Understanding ACL 2023
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning ACL 2023
NusaCrowd: Open Source Initiative for Indonesian NLP Resources ACL 2023
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction ACL 2023
SigMoreFun Submission to the SIGMORPHON Shared Task on Interlinear Glossing ACL 2023
Syntax and Semantics Meet in the β€œMiddle”: Probing the Syntax-Semantics Interface of LMs Through Agentivity ACL 2023
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning ACL 2023
The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation EMNLP 2023
ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages EMNLP 2023
It’s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk EMNLP 2023
T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics EMNLP 2023
Teacher Perception of Automatically Extracted Grammar Concepts for L2 Language Learning EMNLP 2023
EXCALIBUR: Encouraging and Evaluating Embodied Exploration CVPR 2023
Prompt2Model: Generating Deployable Models from Natural Language Instructions EMNLP 2023
Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting EMNLP 2023
GlobalBench: A Benchmark for Global Progress in Natural Language Processing EMNLP 2023
CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code EMNLP 2023
Active Retrieval Augmented Generation EMNLP 2023
CTC Alignments Improve Autoregressive Translation EACL 2023
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages EACL 2023
A Multi-dimensional Evaluation of Tokenizer-free Multilingual Pretrained Models EACL 2023
Towards a Unified View of Parameter-Efficient Transfer Learning ICLR 2022
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval ICML 2022
Symmetric Machine Theory of Mind ICML 2022
Building African Voices INTERSPEECH 2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering NAACL 2022
Quality-Aware Decoding for Neural Machine Translation NAACL 2022
Testing the Ability of Language Models to Interpret Figurative Language NAACL 2022
Table Retrieval May Not Necessitate Table-specific Model Design NAACL 2022
Hierarchical Control of Situated Agents through Natural Language NAACL 2022
The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models AACL 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations AAAI 2022
Interpreting Language Models with Contrastive Explanations EMNLP 2022
Language Models of Code are Few-Shot Commonsense Learners EMNLP 2022
Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation ACL 2022
On The Ingredients of an Effective Zero-shot Semantic Parser ACL 2022
DEEP: DEnoising Entity Pre-training for Neural Machine Translation ACL 2022
BRIO: Bringing Order to Abstractive Summarization ACL 2022
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data ACL 2022
Systematic Inequalities in Language Technology Performance across the World’s Languages ACL 2022
AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages ACL 2022
DataLab: A Platform for Data Analysis and Intervention ACL 2022
Breaking Down Multilingual Machine Translation ACL 2022
CMU’s IWSLT 2022 Dialect Speech Translation System ACL 2022
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer EMNLP 2022
Are representations built from the ground up? An empirical examination of local composition in language models EMNLP 2022
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings EMNLP 2022
Paraphrastic Representations at Scale EMNLP 2022
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering COLING 2022
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues EMNLP 2022
Learning to Model Editing Processes EMNLP 2022
Prompt Consistency for Zero-Shot Task Generalization EMNLP 2022
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition EMNLP 2022
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models EMNLP 2022
Learning to Scaffold: Optimizing Model Explanations for Teaching NIPS 2022
Capturing Structural Locality in Non-parametric Language Models ICLR 2022
Distributionally Robust Models with Parametric Likelihood Ratios ICLR 2022
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative ICLR 2022
Word Alignment by Fine-tuning Embeddings on Parallel Corpora EACL 2021
BARTScore: Evaluating Generated Text as Text Generation NIPS 2021
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction ACL 2021
Do Context-Aware Translation Models Pay the Right Attention? ACL 2021
Measuring and Increasing Context Usage in Context-Aware Machine Translation ACL 2021
ExplainaBoard: An Explainable Leaderboard for NLP ACL 2021
Detecting Hallucinated Content in Conditional Neural Sequence Generation ACL 2021
Dependency Induction Through the Lens of Visual Perception CONLL 2021
Towards More Fine-grained and Reliable NLP Performance Prediction EACL 2021
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages EMNLP 2021
Distributionally Robust Multilingual Machine Translation EMNLP 2021
Efficient Nearest Neighbor Language Models EMNLP 2021
When is Wall a Pared and when a Muro?: Extracting Rules Governing Lexical Selection EMNLP 2021
Evaluating the Morphosyntactic Well-formedness of Generated Texts EMNLP 2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation EMNLP 2021
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties EMNLP 2021
Dependency Induction Through the Lens of Visual Perception EMNLP 2021
Phrase-level Active Learning for Neural Machine Translation EMNLP 2021
Modeling the Second Player in Distributionally Robust Optimization ICLR 2021
Learning Structural Edits via Incremental Tree Transformations ICLR 2021
Meta Back-Translation ICLR 2021
Examining and Combating Spurious Features under Distribution Shift ICML 2021
Few-shot Language Coordination by Modeling Theory of Mind ICML 2021
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction IJCNLP 2021
Do Context-Aware Translation Models Pay the Right Attention? IJCNLP 2021
Measuring and Increasing Context Usage in Context-Aware Machine Translation IJCNLP 2021
ExplainaBoard: An Explainable Leaderboard for NLP IJCNLP 2021
Detecting Hallucinated Content in Conditional Neural Sequence Generation IJCNLP 2021
Phoneme Recognition Through Fine Tuning of Phonetic Representations: A Case Study on Luhya Language Varieties INTERSPEECH 2021
Multi-view Subword Regularization NAACL 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning NAACL 2021
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models NAACL 2021
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention NAACL 2021
Explicit Alignment Objectives for Multilingual Bidirectional Encoders NAACL 2021
On Learning Text Style Transfer with Direct Rewards NAACL 2021
GSum: A General Framework for Guided Neural Abstractive Summarization NAACL 2021
Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas NAACL 2021
Should All Cross-Lingual Embeddings Speak English? ACL 2020
Predicting Performance for Natural Language Processing Tasks ACL 2020
Balancing Training for Multilingual Neural Machine Translation ACL 2020
Findings of the WMT 2020 Shared Task on Machine Translation Robustness EMNLP 2020
Merging Weak and Active Supervision for Semantic Parsing AAAI 2020
Learning Sparse Prototypes for Text Generation NIPS 2020
Differentiable Reasoning over a Virtual Knowledge Base ICLR 2020
A Probabilistic Formulation of Unsupervised Text Style Transfer ICLR 2020
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework ICLR 2020
Understanding Knowledge Distillation in Non-autoregressive Machine Translation ICLR 2020
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling AAAI 2020
Interpretable Multi-dataset Evaluation for Named Entity Recognition EMNLP 2020
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models EMNLP 2020
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data ACL 2020
Soft Gazetteers for Low-Resource Named Entity Recognition ACL 2020
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation ACL 2020
Learning to Deceive with Attention-Based Explanations ACL 2020
Weight Poisoning Attacks on Pretrained Models ACL 2020
Generalizing Natural Language Analysis through Span-relation Representations ACL 2020
Politeness Transfer: A Tag and Generate Approach ACL 2020
OCR Post Correction for Endangered Language Texts EMNLP 2020
Re-evaluating Evaluation in Text Summarization EMNLP 2020
NeuSpell: A Neural Spelling Correction Toolkit EMNLP 2020
Dynamic Data Selection and Weighting for Iterative Back-Translation EMNLP 2020
Automatic Extraction of Rules Governing Morphological Agreement EMNLP 2020
A Bilingual Generative Transformer for Semantic Sentence Embedding EMNLP 2020
Endangered Languages meet Modern NLP COLING 2020
Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations COLING 2020
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation EMNLP 2020
Latent Relation Language Models AAAI 2020
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation ICML 2020
Optimizing Data Usage via Differentiable Rewards ICML 2020
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos EMNLP 2020
TICO-19: the Translation Initiative for COvid-19 EMNLP 2020
Transliteration for Cross-Lingual Morphological Inflection ACL 2020
Findings of the Fourth Workshop on Neural Generation and Translation ACL 2020
Weakly- and Semi-supervised Evidence Extraction EMNLP 2020
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections ACL 2019
Choosing Transfer Languages for Cross-Lingual Learning ACL 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow IJCNLP 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text IJCNLP 2019
Domain Adaptation of Neural Machine Translation by Lexicon Induction ACL 2019
Self-Attentional Models for Lattice Inputs ACL 2019
Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces ACL 2019
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking AAAI 2019
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings IJCNLP 2019
Handling Syntactic Divergence in Low-resource Machine Translation IJCNLP 2019
Pushing the Limits of Low-Resource Morphological Inflection IJCNLP 2019
Are Sixteen Heads Really Better than One? NIPS 2019
Towards Zero-resource Cross-lingual Entity Linking EMNLP 2019
Domain Differential Adaptation for Neural Machine Translation EMNLP 2019
Findings of the Third Workshop on Neural Generation and Translation EMNLP 2019
Proceedings of the 3rd Workshop on Neural Generation and Translation EMNLP 2019
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers EMNLP 2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow EMNLP 2019
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text EMNLP 2019
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings EMNLP 2019
Handling Syntactic Divergence in Low-resource Machine Translation EMNLP 2019
Pushing the Limits of Low-Resource Morphological Inflection EMNLP 2019
compare-mt: A Tool for Holistic Comparison of Language Generation Systems NAACL 2019
Comparing Top-Down and Bottom-Up Neural Generative Dependency Models CONLL 2019
Learning to Describe Unknown Phrases with Local and Global Contexts NAACL 2019
On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models NAACL 2019
Improving Robustness of Machine Translation with Synthetic Noise NAACL 2019
Density Matching for Bilingual Word Embedding NAACL 2019
Competence-based Curriculum Learning for Neural Machine Translation NAACL 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders ICLR 2019
Multilingual Neural Machine Translation With Soft Decoupled Encoding ICLR 2019
Learning to Represent Edits ICLR 2019
Lost in Interpretation: Predicting Untranslated Terminology in Simultaneous Interpretation NAACL 2019
Mitigating Noisy Inputs for Question Answering INTERSPEECH 2019
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers IJCNLP 2019
Improving Robustness of Neural Machine Translation with Multi-task Learning ACL 2019
Findings of the First Shared Task on Machine Translation Robustness ACL 2019
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ACL 2019
Generalized Data Augmentation for Low-Resource Translation ACL 2019
Improving Open Information Extraction via Iterative Rank-Aware Learning ACL 2019
Simple and Effective Paraphrastic Similarity from Parallel Translations ACL 2019
Reranking for Neural Semantic Parsing ACL 2019
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ACL 2019
A Tree-based Decoder for Neural Machine Translation EMNLP 2018
Neural Cross-Lingual Named Entity Recognition with Minimal Resources EMNLP 2018
Stress Test Evaluation for Natural Language Inference COLING 2018
Multi-Source Neural Machine Translation with Missing Data ACL 2018
Findings of the Second Workshop on Neural Machine Translation and Generation ACL 2018
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation ACL 2018
Automatic Estimation of Simultaneous Interpreter Performance ACL 2018
Extreme Adaptation for Personalized Neural Machine Translation ACL 2018
Neural Factor Graph Models for Cross-lingual Morphological Tagging ACL 2018
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data ACL 2018
Stack-Pointer Networks for Dependency Parsing ACL 2018
Self-Attentional Acoustic Models INTERSPEECH 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ACL 2018
Attentive Interaction Model: Modeling Changes in View in Argumentation NAACL 2018
Guiding Neural Machine Translation with Retrieved Translation Pieces NAACL 2018
Handling Homographs in Neural Machine Translation NAACL 2018
Using Morphological Knowledge in Open-Vocabulary Neural Language Models NAACL 2018
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? NAACL 2018
Modelling Natural Language, Programs, and their Intersection NAACL 2018
Contextual Parameter Generation for Universal Neural Machine Translation EMNLP 2018
MTNT: A Testbed for Machine Translation of Noisy Text EMNLP 2018
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation EMNLP 2018
Rapid Adaptation of Neural Machine Translation to New Languages EMNLP 2018
Retrieval-Based Neural Code Generation EMNLP 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections EMNLP 2018
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations EMNLP 2018
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation EMNLP 2018
Multi-Source Neural Machine Translation with Data Augmentation EMNLP 2018
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models EMNLP 2018
Contextual Encoding for Translation Quality Estimation EMNLP 2018
Neural Lattice-to-Sequence Models for Uncertain Inputs EMNLP 2017
Morphological Inflection Generation with Multi-space Variational Encoder-Decoders CONLL 2017
Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text INTERSPEECH 2017
Learning Character-level Compositionality with Visual Features ACL 2017
Improving Neural Machine Translation through Phrase-based Forced Decoding IJCNLP 2017
Charmanteau: Character Embedding Models For Portmanteau Creation EMNLP 2017
Neural Machine Translation via Binary Code Prediction ACL 2017
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction ACL 2017
On-the-fly Operation Batching in Dynamic Computation Graphs NIPS 2017
Learning to Translate in Real-time with Neural Machine Translation EACL 2017
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017
Controllable Invariance through Adversarial Feature Learning NIPS 2017
Cross-Lingual Word Embeddings for Low-Resource Language Modeling EACL 2017
Learning Language Representations for Typology Prediction EMNLP 2017
A Syntactic Neural Model for General-Purpose Code Generation ACL 2017
Selecting Syntactic, Non-redundant Segments in Active Learning for Machine Translation NAACL 2016
Morphological Inflection Generation Using Character Sequence to Sequence Learning NAACL 2016
Lightly Supervised Quality Estimation COLING 2016
Generalizing and Hybridizing Count-based and Neural Language Models EMNLP 2016
Controlling Output Length in Neural Encoder-Decoders EMNLP 2016
Incorporating Discrete Translation Lexicons into Neural Machine Translation EMNLP 2016
Learning a Lexicon and Translation Model from Phoneme Lattices EMNLP 2016
Practical Neural Networks for NLP: From Theory to Code EMNLP 2016
A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation ACL 2016
Learning a Translation Model from Word Lattices INTERSPEECH 2016
Transferring Emphasis in Speech Translation Using Hard-Attentional Neural Network Models INTERSPEECH 2016
Unsupervised Joint Estimation of Grapheme-to-Phoneme Conversion Systems and Acoustic Model Adaptation for Non-Native Speech Recognition INTERSPEECH 2016
A Hybrid System for Continuous Word-Level Emphasis Modeling Based on HMM State Clustering and Adaptive Training INTERSPEECH 2016
Unsupervised Phoneme Segmentation of Previously Unseen Languages INTERSPEECH 2016
Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents ACL 2015
Improving Pivot Translation by Remembering the Pivot ACL 2015
Ckylark: A More Robust PCFG-LA Parser NAACL 2015
Multi-Target Machine Translation with Multi-Synchronous Context-free Grammars NAACL 2015
Syntax-based Simultaneous Translation through Prediction of Unseen Syntactic Constituents IJCNLP 2015
A Binarized Neural Network Joint Model for Machine Translation EMNLP 2015
Improving Pivot Translation by Remembering the Pivot IJCNLP 2015
Optimizing Segmentation Strategies for Simultaneous Speech Translation ACL 2014
On the Elements of an Accurate Tree-to-String Machine Translation System ACL 2014
Discriminative Language Models as a Tool for Machine Translation Error Analysis COLING 2014
Reinforcement Learning of Cooperative Persuasive Dialogue Policies using Framing COLING 2014
Acquiring a Dictionary of Emotion-Provoking Events EACL 2014
Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation ACL 2013
Travatar: A Forest-to-String Machine Translation Engine based on Tree Transducers ACL 2013
Inducing a Discriminative Parser to Optimize Machine Translation Reordering CONLL 2012
Inducing a Discriminative Parser to Optimize Machine Translation Reordering EMNLP 2012
Machine Translation without Words through Substring Alignment ACL 2012
Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis ACL 2011
Safety Information Mining β€” What can NLP do in a disasterβ€” IJCNLP 2011
Training Dependency Parsers from Partially Annotated Corpora IJCNLP 2011
An Unsupervised Model for Joint Phrase Alignment and Extraction ACL 2011