Deyi Xiong

Orcid: 0000-0002-2353-5038

According to our database1, Deyi Xiong authored at least 242 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Mining parallel sentences from internet with multi-view knowledge distillation for low-resource language pairs.
Knowl. Inf. Syst., January, 2024

TCLNet: Turn-level contrastive learning network with reranking for dialogue state tracking.
Knowl. Based Syst., 2024

FEDS-ICL: Enhancing translation ability and efficiency of large language model by optimizing demonstration selection.
Inf. Process. Manag., 2024

VisTFC: Vision-guided target-side future context learning for neural machine translation.
Expert Syst. Appl., 2024

Regularizing cross-attention learning for end-to-end speech translation with ASR and MT attention matrices.
Expert Syst. Appl., 2024

Speaker voice normalization for end-to-end speech translation.
Expert Syst. Appl., 2024

Self-Pluralising Culture Alignment for Large Language Models.
CoRR, 2024

LANDeRMT: Detecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation.
CoRR, 2024

Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning.
CoRR, 2024

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models.
CoRR, 2024

Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons.
CoRR, 2024

Planning with Large Language Models for Conversational Agents.
CoRR, 2024

DART: Deep Adversarial Automated Red Teaming for LLM Safety.
CoRR, 2024

MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting.
CoRR, 2024

IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons.
CoRR, 2024

CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language Models.
CoRR, 2024

Benchmark Underestimates the Readiness of Multi-lingual Dialogue Agents.
CoRR, 2024

ConTrans: Weak-to-Strong Alignment Engineering via Concept Transplantation.
CoRR, 2024

OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety.
CoRR, 2024

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models.
CoRR, 2024

Exploring Multilingual Human Value Concepts in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
CoRR, 2024

Do Large Language Models Mirror Cognitive Language Processing?
CoRR, 2024

Enhanced Transfer Learning with Efficient Modeling and Adaptive Fusion of Knowledge Via Prompt Tuning.
Proceedings of the IEEE International Conference on Acoustics, 2024

End-to-End Speech Translation with Mutual Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Reassessing Non-Autoregressive Neural Machine Translation with a Fine-Grained Error Taxonomy.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Towards Robust In-Context Learning for Machine Translation with Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LFED: A Literary Fiction Evaluation Dataset for Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Rewiring the Transformer with Depth-Wise LSTMs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Can Large Language Models Learn Translation Robustness from Noisy-Source In-context Demonstrations?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

A Comprehensive Evaluation of Quantization Strategies for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

CToolEval: A Chinese Benchmark for LLM-Powered Agent Evaluation in Real-World API Interactions.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DetTrans: A Lightweight Framework to Detect and Translate Noisy Inputs Simultaneously.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

JoinER-BART: Joint Entity and Relation Extraction With Constrained Decoding, Representation Reuse and Fusion.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

RoleEval: A Bilingual Role Evaluation Benchmark for Large Language Models.
CoRR, 2023

AI-driven emergence of frequency information non-uniform distribution via THz metasurface spectrum prediction.
CoRR, 2023

FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models.
CoRR, 2023

Evaluating Large Language Models: A Comprehensive Survey.
CoRR, 2023

Large Language Model Alignment: A Survey.
CoRR, 2023

M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models.
CoRR, 2023

TJUNLP: System Description for the WMT23 Literary Task in Chinese to English Translation Direction.
Proceedings of the Eighth Conference on Machine Translation, 2023

NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

GhostRNN: Reducing State Redundancy in RNN with Cheap Operations.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SCoMoE: Efficient Mixtures of Experts with Structured Communication.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Joint Training and Decoding for Multilingual End-to-End Simultaneous Speech Translation.
Proceedings of the IEEE International Conference on Acoustics, 2023

CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards a Deep Understanding of Multilingual End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is Robustness Transferable across Languages in Multilingual Neural Machine Translation?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Inverse Reinforcement Learning for Text Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Improving Multiscale Object Detection With Off-Centered Semantics Refinement.
IEEE Trans. Circuits Syst. Video Technol., 2022

Knowledge-enhanced graph convolutional network for recommendation.
Multim. Tools Appl., 2022

AAN+: Generalized Average Attention Network for Accelerating Neural Transformer.
J. Artif. Intell. Res., 2022

Improving generation diversity via syntax-controlled paraphrasing.
Neurocomputing, 2022

FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks.
CoRR, 2022

Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework.
CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR, 2022

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation.
CoRR, 2022

Short text matching model with multiway semantic interaction based on multi-granularity semantic embedding.
Appl. Intell., 2022

Unsupervised and few-shot parsing from pretrained language models.
Artif. Intell., 2022

TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Structural Information for Syntax-Controlled Paraphrase Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Adversarially Improving NMT Robustness to ASR Errors with Confusion Sets.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Multilingual Neural Machine Transliteration with Adaptive Segmentation Schemes.
Proceedings of the International Conference on Asian Language Processing, 2022

Generating Questions for Abstractive Answers with a Multi-Channel Fusion Encoder-Decoder Model.
Proceedings of the International Conference on Asian Language Processing, 2022

Long Text Generation with Topic-aware Discrete Latent Variable Model.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CoCoID: Learning Contrastive Representations and Compact Clusters for Semi-Supervised Intent Discovery.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Language Branch Gated Multilingual Neural Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Informative Language Representation Learning for Massively Multilingual Neural Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Efficient Cluster-Based <i>k</i>-Nearest-Neighbor Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Auto Correcting in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation.
CoRR, 2021

Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning.
Artif. Intell., 2021

Explore Coarse-Grained Structures for Syntactically Controllable Paraphrase Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Domain-Aware Self-Attention for Multi-Domain Neural Machine Translation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Modeling Homophone Noise for Robust Neural Machine Translation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Hard Retrieval Decoder Attention for Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Secoco: Self-Correcting Encoding for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Integrating Pre-trained Model into Rule-based Dialogue Management.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Neural Machine Translation With GRU-Gated Attention Model.
IEEE Trans. Neural Networks Learn. Syst., 2020

Alignment-Supervised Bidimensional Attention-Based Recursive Autoencoders for Bilingual Phrase Representation.
IEEE Trans. Cybern., 2020

Neural Machine Translation with Deep Attention.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Transformer with Depth-Wise LSTM.
CoRR, 2020

Analyzing Word Translation of Transformer Layers.
CoRR, 2020

Shallow Discourse Annotation for Chinese TED Talks.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

HisBERT for Conversational Reading Comprehension.
Proceedings of the International Conference on Asian Language Processing, 2020

Effective Strategies for Low-Resource Reading Comprehension.
Proceedings of the International Conference on Asian Language Processing, 2020

RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Learning to Reuse Translations: Guiding Neural Machine Translation with Examples.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Lipschitz Constrained Parameter Initialization for Deep Transformers.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Source Phrase Representations for Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Modeling Long Context for Task-Oriented Dialogue State Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Future-Aware Knowledge Distillation for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Merging External Bilingual Pairs into Neural Machine Translation.
CoRR, 2019

Detecting and Translating Dropped Pronouns in Neural Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue.
Proceedings of the International Conference on Asian Language Processing, 2019

The Direct Path May Not Be The Best: Portuguese-Chinese Neural Machine Translation.
Proceedings of the Progress in Artificial Intelligence, 2019

Towards Linear Time Neural Machine Translation with Capsule Networks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Highly Relevant Questions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
A Hierarchy-to-Sequence Attentional Neural Machine Translation Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Alignment-consistent recursive neural networks for bilingual phrase embeddings.
Knowl. Based Syst., 2018

Cross-lingual implicit discourse relation recognition with co-training.
Frontiers Inf. Technol. Electron. Eng., 2018

A neural generative autoencoder for bilingual word embeddings.
Inf. Sci., 2018

Learning better discourse representation for implicit discourse relation recognition via attention networks.
Neurocomputing, 2018

Context-Aware Phrase Representation for Statistical Machine Translation.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Active Learning for Neural Machine Translation.
Proceedings of the 2018 International Conference on Asian Language Processing, 2018

Two Effective Approaches to Data Reduction for Neural Machine Translation: Static and Dynamic Sentence Selection.
Proceedings of the 2018 International Conference on Asian Language Processing, 2018

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Encoding Gated Translation Memory into Neural Machine Translation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Sentence Weighting for Neural Machine Translation Domain Adaptation.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Neural Machine Translation with Decoding History Enhanced Attention.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Accelerating Neural Transformer via an Average Attention Network.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Variational Recurrent Neural Machine Translation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Context-Aware Recurrent Encoder for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Cache-based Document-level Neural Machine Translation.
CoRR, 2017

Bridging Source and Target Word Embeddings for Neural Machine Translation.
CoRR, 2017

A GRU-Gated Attention Model for Neural Machine Translation.
CoRR, 2017

Improving Chinese-English Neural Machine Translation with Detected Usages of Function Words.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Translating Phrases in Neural Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation with Phrasal Attention.
Proceedings of the Machine Translation - 13th China Workshop, 2017

Modeling Source Syntax for Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Neural Machine Translation Advised by Statistical Machine Translation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Adapted competitive learning on continuous semantic space for word sense induction.
Neurocomputing, 2016

Recurrent Neural Machine Translation.
CoRR, 2016

Variational Neural Machine Translation.
CoRR, 2016

Variational Neural Discourse Relation Recognizer.
CoRR, 2016

Neural Discourse Relation Recognition with Semantic Memory.
CoRR, 2016

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation.
CoRR, 2016

Semantic Similarity from Natural Language and Ontology Analysis.
Comput. Linguistics, 2016

Topic-based term translation models for statistical machine translation.
Artif. Intell., 2016

Automatic Long Sentence Segmentation for Neural Machine Translation.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Variational Neural Discourse Relation Recognizer.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Variational Neural Machine Translation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences.
Proceedings of the COLING 2016, 2016

Improving Statistical Machine Translation with Selectional Preferences.
Proceedings of the COLING 2016, 2016

Improving Translation Selection with Supersenses.
Proceedings of the COLING 2016, 2016

Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling.
Proceedings of the COLING 2016, 2016

Learning Event Expressions via Bilingual Structure Projection.
Proceedings of the COLING 2016, 2016

2015
Topic-Based Coherence Modeling for Statistical Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Backward and trigger-based language models for statistical machine translation.
Nat. Lang. Eng., 2015

Learning bilingual distributed phrase represenations for statistical machine translation.
Proceedings of Machine Translation Summit XV: Papers, 2015

Discriminative Reordering Model Adaptation via Structural Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Graph-Based Collective Lexical Selection for Statistical Machine Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Context-Aware Topic Model for Statistical Machine Translation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Topic-Based Dissimilarity and Sensitivity Models for Translation Rule Selection.
J. Artif. Intell. Res., 2014

A Topic-Based Reordering Model for Statistical Machine Translation.
Proceedings of the Natural Language Processing and Chinese Computing, 2014

Modeling Term Translation for Document-informed Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Semantics, Discourse and Statistical Machine Translation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

A Sense-Based Translation Model for Statistical Machine Translation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Modeling Lexical Cohesion for Document-Level Machine Translation.
Proceedings of the IJCAI 2013, 2013

Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Max-Margin Synchronous Grammar Induction for Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Bilingual Lexical Cohesion Trigger Model for Document-Level Machine Translation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

A Topic-Based Coherence Model for Statistical Machine Translation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation.
Proceedings of the COLING 2012, 2012

Modeling the Translation of Predicate-Argument Structure for SMT.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

A Topic Similarity Model for Hierarchical Phrase-based Translation.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
A Maximum-Entropy Segmentation Model for Statistical Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2011

Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Linguistically Annotated Reordering: Evaluation and Analysis.
Comput. Linguistics, 2010

Learning Translation Boundaries for Phrase-Based Decoding.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

I<sup>2</sup>r's machine translation system for IWSLT 2010.
Proceedings of the 2010 International Workshop on Spoken Language Translation, 2010

Error Detection for Statistical Machine Translation Using Linguistic Features.
Proceedings of the ACL 2010, 2010

2009
A Source Dependency Model for Statistical Machine Translation.
Proceedings of Machine Translation Summit XII: Posters, 2009

Efficient Beam Thresholding for Statistical Machine Translation.
Proceedings of Machine Translation Summit XII: Posters, 2009

I2R's machine translation system for IWSLT 2009.
Proceedings of the 6th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2009, 2009

I<sup>2</sup>r's machine translation system for IWSLT 2009.
Proceedings of the 2009 International Workshop on Spoken Language Translation, 2009

A Syntax-Driven Bracketing Model for Phrase-Based Translation.
Proceedings of the ACL 2009, 2009

2008
I<sup>2</sup>r multi-pass machine translation system for IWSLT 2008.
Proceedings of the 2008 International Workshop on Spoken Language Translation, 2008

Refinements in BTG-based Statistical Machine Translation.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Linguistically Annotated BTG for Statistical Machine Translation.
Proceedings of the COLING 2008, 2008

A Linguistically Annotated Reordering Model for BTG-based Statistical Machine Translation.
Proceedings of the ACL 2008, 2008

2007
HTRDP evaluations on Chinese information processing and intelligent human-machine interface.
Frontiers Comput. Sci. China, 2007

A Dependency Treelet String Correspondence Model for Statistical Machine Translation.
Proceedings of the Second Workshop on Statistical Machine Translation, 2007

The ICT statistical machine translation systems for IWSLT 2007.
Proceedings of the 2007 International Workshop on Spoken Language Translation, 2007

2006
A Local Density Based Spatial Clustering Algorithm with Noise.
Proceedings of the IEEE International Conference on Systems, 2006

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation.
Proceedings of the ACL 2006, 2006

2005
Parsing the Penn Chinese Treebank with Semantic Knowledge.
Proceedings of the Natural Language Processing, 2005

Lexicalized Beam Thresholding Parsing with Prior and Boundary Estimates.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2005

2004
An EBMT system based on word alignment.
Proceedings of the 2004 International Workshop on Spoken Language Translation, 2004

Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended Tagset.
Proceedings of the Natural Language Processing, 2004

2003
HHMM-based Chinese Lexical Analyzer ICTCLAS.
Proceedings of the Second Workshop on Chinese Language Processing, 2003


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