Duyu Tang

According to our database1, Duyu Tang authored at least 90 papers between 2013 and 2024.

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Bibliography

2024
Pretraining without wordpieces: learning over a vocabulary of millions of words.
Int. J. Mach. Learn. Cybern., September, 2024

ToolACE: Winning the Points of LLM Function Calling.
CoRR, 2024

SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills.
Proceedings of the IEEE International Conference on Acoustics, 2024

Android in the Zoo: Chain-of-Action-Thought for GUI Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning Fine-Grained Grounded Citations for Attributed Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Emage: Non-Autoregressive Text-to-Image Generation.
CoRR, 2023

MarkBERT: Marking Word Boundaries Improves Chinese BERT.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Skillnet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improved Visual Story Generation with Adaptive Context Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Effidit: An Assistant for Improving Writing Efficiency.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data.
Nat. Mac. Intell., October, 2022

Effidit: Your AI Writing Assistant.
CoRR, 2022

One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code.
CoRR, 2022

Pretraining Chinese BERT for Detecting Word Insertion and Deletion Errors.
CoRR, 2022

MarkBERT: Marking Word Boundaries Improves Chinese BERT.
CoRR, 2022

One Model, Multiple Tasks: Pathways for Natural Language Understanding.
CoRR, 2022

Analytical Reasoning of Text.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Exploring and Adapting Chinese GPT to Pinyin Input Method.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
AR-LSAT: Investigating Analytical Reasoning of Text.
CoRR, 2021

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

GraphCodeBERT: Pre-training Code Representations with Data Flow.
Proceedings of the 9th International Conference on Learning Representations, 2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

UserAdapter: Few-Shot User Learning in Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Syntax-Enhanced Pre-trained Model.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

CoSQA: 20, 000+ Web Queries for Code Search and Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Joint Learning of Question Answering and Question Generation.
IEEE Trans. Knowl. Data Eng., 2020

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.
CoRR, 2020

A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts.
CoRR, 2020

Pre-training Text Representations as Meta Learning.
CoRR, 2020

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning.
CoRR, 2020

Neural Deepfake Detection with Factual Structure of Text.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Machine Reasoning: Technology, Dilemma and Future.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2020

Reasoning Over Semantic-Level Graph for Fact Checking.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Text Generation From Tables.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Content-based table retrieval for web queries.
Neurocomputing, 2019

Deep Reason: A Strong Baseline for Real-World Visual Reasoning.
CoRR, 2019

Improving Question Answering by Commonsense-Based Pre-training.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Knowledge-Aware Conversational Semantic Parsing over Web Tables.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Asking Clarification Questions in Knowledge-Based Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Entity disambiguation with memory network.
Neurocomputing, 2018

Knowledge-Aware Conversational Semantic Parsing Over Web Tables.
CoRR, 2018

Knowledge Based Machine Reading Comprehension.
CoRR, 2018

Dialog-to-Action: Conversational Question Answering Over a Large-Scale Knowledge Base.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Collaborate for Question Answering and Asking.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Question Generation from SQL Queries Improves Neural Semantic Parsing.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Semantic Parsing with Syntax- and Table-Aware SQL Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Assertion-Based QA With Question-Aware Open Information Extraction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Table-to-Text: Describing Table Region With Natural Language.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Entity disambiguation with decomposable neural networks.
WIREs Data Mining Knowl. Discov., 2017

Content-Based Table Retrieval for Web Queries.
CoRR, 2017

Question Answering and Question Generation as Dual Tasks.
CoRR, 2017

Overview of the NLPCC 2017 Shared Task: Open Domain Chinese Question Answering.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Question Generation for Question Answering.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Sentiment Embeddings with Applications to Sentiment Analysis.
IEEE Trans. Knowl. Data Eng., 2016

Social sentiment sensor: a visualization system for topic detection and topic sentiment analysis on microblog.
Multim. Tools Appl., 2016

Aspect Level Sentiment Classification with Deep Memory Network.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Effective LSTMs for Target-Dependent Sentiment Classification.
Proceedings of the COLING 2016, 2016

English-Chinese Knowledge Base Translation with Neural Network.
Proceedings of the COLING 2016, 2016

A Language-Independent Neural Network for Event Detection.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Deep learning for sentiment analysis: successful approaches and future challenges.
WIREs Data Mining Knowl. Discov., 2015

A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

A Planning based Framework for Essay Generation.
CoRR, 2015

Target-Dependent Sentiment Classification with Long Short Term Memory.
CoRR, 2015

Sentiment-Specific Representation Learning for Document-Level Sentiment Analysis.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

User Modeling with Neural Network for Review Rating Prediction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Document Modeling with Gated Recurrent Neural Network for Sentiment Classification.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Semantic Representations of Users and Products for Document Level Sentiment Classification.
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
Emotion Analysis Platform on Chinese Microblog.
CoRR, 2014

Radical-Enhanced Chinese Character Embedding.
CoRR, 2014

Coooolll: A Deep Learning System for Twitter Sentiment Classification.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

A Joint Segmentation and Classification Framework for Sentiment Analysis.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach.
Proceedings of the COLING 2014, 2014

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Domain-Specific Sentiment Word Extraction by Seed Expansion and Pattern Generation.
CoRR, 2013

Learning Sentence Representation for Emotion Classification on Microblogs.
Proceedings of the Natural Language Processing and Chinese Computing, 2013


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