Qingyu Zhou | DeepAI

AI Chat

Featured Co-authors

Yan Wang
215 publications
Furu Wei
184 publications
Chao Li
169 publications
Deng Cai
112 publications
Ke Xu
108 publications
Ming Zhou
107 publications
Yong Jiang
86 publications
Shuming Shi
83 publications
Feng Zhou
70 publications
Nan Yang
70 publications
Tianyu Liu
68 publications

∙ 08/17/2023

Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction

Keyphrase extraction (KPE) is an important task in Natural Language Proc...

0 Yuanzhen Luo, et al. ∙

∙ 07/18/2023

On the (In)Effectiveness of Large Language Models for Chinese Text Correction

Recently, the development and progress of Large Language Models (LLMs) h...

0 Yinghui Li, et al. ∙

∙ 07/16/2023

Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling

Few-shot sequence labeling aims to identify novel classes based on only ...

0 Zifeng Cheng, et al. ∙

∙ 05/18/2023

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction

It is intractable to evaluate the performance of Grammatical Error Corre...

0 Jingheng Ye, et al. ∙

∙ 10/25/2022

Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks

Stroke is the basic element of Chinese character and stroke extraction h...

0 Lizhao Liu, et al. ∙

∙ 10/19/2022

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction

Chinese Grammatical Error Correction (CGEC) is both a challenging NLP ta...

0 Shirong Ma, et al. ∙

∙ 10/19/2022

Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...

0 Yinghui Li, et al. ∙

∙ 08/26/2022

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications

To automatically correct handwritten assignments, the traditional approa...

0 Yusen Zhang, et al. ∙

∙ 07/17/2022

Automatic Context Pattern Generation for Entity Set Expansion

Entity Set Expansion (ESE) is a valuable task that aims to find entities...

0 Yinghui Li, et al. ∙

∙ 07/17/2022

Contextual Similarity is More Valuable than Character Similarity: Curriculum Learning for Chinese Spell Checking

Chinese Spell Checking (CSC) task aims to detect and correct Chinese spe...

0 Ding Zhang, et al. ∙

∙ 03/17/2022

Type-Driven Multi-Turn Corrections for Grammatical Error Correction

Grammatical Error Correction (GEC) aims to automatically detect and corr...

0 Shaopeng Lai, et al. ∙

∙ 03/02/2022

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...

0 Yinghui Li, et al. ∙

∙ 10/19/2021

A non-hierarchical attention network with modality dropout for textual response generation in multimodal dialogue systems

Existing text- and image-based multimodal dialogue systems use the tradi...

0 Rongyi Sun, et al. ∙

∙ 10/16/2021

Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems

Math Word Problem (MWP) solving needs to discover the quantitative relat...

0 Zhongli Li, et al. ∙

∙ 09/27/2021

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

Few-Shot Sequence Labeling (FSSL) is a canonical solution for the taggin...

0 Peiyi Wang, et al. ∙

∙ 05/26/2021

Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct erroneous charac...

0 Heng-Da Xu, et al. ∙

∙ 12/30/2020

Improving BERT with Syntax-aware Local Attention

Pre-trained Transformer-based neural language models, such as BERT, have...

0 Zhongli Li, et al. ∙

∙ 12/29/2020

Dialogue Response Selection with Hierarchical Curriculum Learning

We study the learning of a matching model for dialogue response selectio...

4 Yixuan Su, et al. ∙

∙ 04/06/2020

At Which Level Should We Extract? An Empirical Study on Extractive Document Summarization

Extractive methods have proven to be very effective in automatic documen...

0 Qingyu Zhou, et al. ∙

∙ 04/06/2020

Learning to Summarize Passages: Mining Passage-Summary Pairs from Wikipedia Revision Histories

In this paper, we propose a method for automatically constructing a pass...

0 Qingyu Zhou, et al. ∙

∙ 07/06/2018

Neural Document Summarization by Jointly Learning to Score and Select Sentences

Sentence scoring and sentence selection are two main steps in extractive...

0 Qingyu Zhou, et al. ∙

∙ 07/06/2018

Sequential Copying Networks

Copying mechanism shows effectiveness in sequence-to-sequence based neur...

0 Qingyu Zhou, et al. ∙

∙ 04/24/2017

Selective Encoding for Abstractive Sentence Summarization

We propose a selective encoding model to extend the sequence-to-sequence...

0 Qingyu Zhou, et al. ∙

∙ 04/06/2017

Neural Question Generation from Text: A Preliminary Study

Automatic question generation aims to generate questions from a text pas...

0 Qingyu Zhou, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world