Qingyu Zhou

Orcid: 0000-0002-4389-1582

According to our database1, Qingyu Zhou authored at least 38 papers between 2016 and 2024.

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Bibliography

2024
Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling.
ACM Trans. Inf. Syst., January, 2024

When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models.
CoRR, 2024

2023
Automatic Context Pattern Generation for Entity Set Expansion.
IEEE Trans. Knowl. Data Eng., December, 2023

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.
CoRR, 2023

Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction.
CoRR, 2023

On the (In)Effectiveness of Large Language Models for Chinese Text Correction.
CoRR, 2023

Contextual Similarity is More Valuable Than Character Similarity: An Empirical Study for Chinese Spell Checking.
Proceedings of the IEEE International Conference on Acoustics, 2023

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks.
CoRR, 2022

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications.
CoRR, 2022

Contextual Similarity is More Valuable than Character Similarity: Curriculum Learning for Chinese Spell Checking.
CoRR, 2022

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Non-Hierarchical Attention Network with Modality Dropout for Textual Response Generation in Multimodal Dialogue Systems.
Proceedings of the IEEE International Conference on Acoustics, 2022

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Type-Driven Multi-Turn Corrections for Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Dialogue Response Selection with Hierarchical Curriculum Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Improving BERT with Syntax-aware Local Attention.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
A Joint Sentence Scoring and Selection Framework for Neural Extractive Document Summarization.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

At Which Level Should We Extract? An Empirical Study on Extractive Document Summarization.
CoRR, 2020

Learning to Summarize Passages: Mining Passage-Summary Pairs from Wikipedia Revision Histories.
CoRR, 2020

At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Towards Generating Math Word Problems from Equations and Topics.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

Spatial Feature Collaborative Network for Trademark Image Retrieval.
Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

2018
Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Neural Document Summarization by Jointly Learning to Score and Select Sentences.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Using Intermediate Representations to Solve Math Word Problems.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Sequential Copying Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Neural Question Generation from Text: A Preliminary Study.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Selective Encoding for Abstractive Sentence Summarization.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
SLDP: Sequence learning dependency parsing model using long short-term memory.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016


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