Search Results for author: Qingyu Zhou

Found 30 papers, 20 papers with code

When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models

1 code implementation16 Feb 2024 Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu

In this paper, we challenge the reasoning and understanding abilities of LLMs by proposing a FaLlacy Understanding Benchmark (FLUB) containing cunning questions that are easy for humans to understand but difficult for models to grasp.

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

1 code implementation19 Nov 2023 Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen

To the best of our knowledge, Visual-C$^3$ is the first real-world visual and the largest human-crafted dataset for the Chinese character checking scenario.

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check

1 code implementation13 Oct 2023 Haojing Huang, Jingheng Ye, Qingyu Zhou, Yinghui Li, Yangning Li, Feng Zhou, Hai-Tao Zheng

In recent years, Chinese Spelling Check (CSC) has been greatly improved by designing task-specific pre-training methods or introducing auxiliary tasks, which mostly solve this task in an end-to-end fashion.

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

no code implementations17 Aug 2023 Yuanzhen Luo, Qingyu Zhou, Feng Zhou

Keyphrase extraction (KPE) is an important task in Natural Language Processing for many scenarios, which aims to extract keyphrases that are present in a given document.

Keyphrase Extraction

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

no code implementations18 Jul 2023 Yinghui Li, Haojing Huang, Shirong Ma, Yong Jiang, Yangning Li, Feng Zhou, Hai-Tao Zheng, Qingyu Zhou

Recently, the development and progress of Large Language Models (LLMs) have amazed the entire Artificial Intelligence community.

Grammatical Error Correction

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

1 code implementation16 Jul 2023 Zifeng Cheng, Qingyu Zhou, Zhiwei Jiang, Xuemin Zhao, Yunbo Cao, Qing Gu

However, these methods are only trained at a single granularity (i. e., either token level or span level) and have some weaknesses of the corresponding granularity.

Metric Learning

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction

2 code implementations18 May 2023 Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen

Evaluating the performance of Grammatical Error Correction (GEC) systems is a challenging task due to its subjectivity.

Grammatical Error Correction

Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks

1 code implementation25 Oct 2022 Lizhao Liu, Kunyang Lin, Shangxin Huang, Zhongli Li, Chao Li, Yunbo Cao, Qingyu Zhou

Moreover, there are no standardized benchmarks to provide a fair comparison between different stroke extraction methods, which, we believe, is a major impediment to the development of Chinese character stroke understanding and related tasks.

Font Generation Instance Segmentation +2

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

2 code implementations19 Oct 2022 Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Li Yangning, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen

Extensive experiments and detailed analyses not only demonstrate that the training data constructed by our method effectively improves the performance of CGEC models, but also reflect that our benchmark is an excellent resource for further development of the CGEC field.

Grammatical Error Correction

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

1 code implementation COLING 2022 Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu

To automatically correct handwritten assignments, the traditional approach is to use an OCR model to recognize characters and compare them to answers.

Optical Character Recognition (OCR)

Automatic Context Pattern Generation for Entity Set Expansion

1 code implementation17 Jul 2022 Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen

In addition, we propose the GAPA, a novel ESE framework that leverages the aforementioned GenerAted PAtterns to expand target entities.

Information Retrieval Retrieval +1

Type-Driven Multi-Turn Corrections for Grammatical Error Correction

1 code implementation Findings (ACL) 2022 Shaopeng Lai, Qingyu Zhou, Jiali Zeng, Zhongli Li, Chao Li, Yunbo Cao, Jinsong Su

First, they simply mix additionally-constructed training instances and original ones to train models, which fails to help models be explicitly aware of the procedure of gradual corrections.

Data Augmentation Grammatical Error Correction +1

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

no code implementations19 Oct 2021 Rongyi Sun, Borun Chen, Qingyu Zhou, Yinghui Li, Yunbo Cao, Hai-Tao Zheng

Existing text- and image-based multimodal dialogue systems use the traditional Hierarchical Recurrent Encoder-Decoder (HRED) framework, which has an utterance-level encoder to model utterance representation and a context-level encoder to model context representation.

Decoder Response Generation

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

1 code implementation NAACL 2022 Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui

Few-Shot Sequence Labeling (FSSL) is a canonical paradigm for the tagging models, e. g., named entity recognition and slot filling, to generalize on an emerging, resource-scarce domain.

Few-shot NER Meta-Learning +4

Improving BERT with Syntax-aware Local Attention

1 code implementation Findings (ACL) 2021 Zhongli Li, Qingyu Zhou, Chao Li, Ke Xu, Yunbo Cao

Pre-trained Transformer-based neural language models, such as BERT, have achieved remarkable results on varieties of NLP tasks.

Machine Translation Question Answering +3

Dialogue Response Selection with Hierarchical Curriculum Learning

1 code implementation ACL 2021 Yixuan Su, Deng Cai, Qingyu Zhou, Zibo Lin, Simon Baker, Yunbo Cao, Shuming Shi, Nigel Collier, Yan Wang

As for IC, it progressively strengthens the model's ability in identifying the mismatching information between the dialogue context and a response candidate.

Conversational Response Selection

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

no code implementations6 Apr 2020 Qingyu Zhou, Furu Wei, Ming Zhou

In this paper, we propose a method for automatically constructing a passage-to-summary dataset by mining the Wikipedia page revision histories.

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

no code implementations COLING 2020 Qingyu Zhou, Furu Wei, Ming Zhou

In this work, we show that unnecessity and redundancy issues exist when extracting full sentences, and extracting sub-sentential units is a promising alternative.

Constituency Parsing Document Summarization +4

Towards Generating Math Word Problems from Equations and Topics

no code implementations WS 2019 Qingyu Zhou, Danqing Huang

A math word problem is a narrative with a specific topic that provides clues to the correct equation with numerical quantities and variables therein.


Sequential Copying Networks

1 code implementation6 Jul 2018 Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou

Copying mechanism shows effectiveness in sequence-to-sequence based neural network models for text generation tasks, such as abstractive sentence summarization and question generation.

Decoder Question Generation +4

Using Intermediate Representations to Solve Math Word Problems

no code implementations ACL 2018 Danqing Huang, Jin-Ge Yao, Chin-Yew Lin, Qingyu Zhou, Jian Yin

To solve math word problems, previous statistical approaches attempt at learning a direct mapping from a problem description to its corresponding equation system.

Math Math Word Problem Solving

Selective Encoding for Abstractive Sentence Summarization

2 code implementations ACL 2017 Qingyu Zhou, Nan Yang, Furu Wei, Ming Zhou

We propose a selective encoding model to extend the sequence-to-sequence framework for abstractive sentence summarization.

Decoder Sentence +1

Neural Question Generation from Text: A Preliminary Study

6 code implementations6 Apr 2017 Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou

Automatic question generation aims to generate questions from a text passage where the generated questions can be answered by certain sub-spans of the given passage.

Decoder Position +3

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