Search Results for author: Qingyu Zhou

Found 20 papers, 11 papers with code

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

1 code implementation26 Aug 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

Automatic Context Pattern Generation for Entity Set Expansion

no code implementations17 Jul 2022 Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen

A non-negligible shortcoming of the pre-defined context patterns is that they cannot be flexibly generalized to all kinds of semantic classes, and we call this phenomenon as "semantic sensitivity".

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

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.

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 +2

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 Pretrained Language Models +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 +3

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.

Question Generation Sentence Summarization +1

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 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.

Sentence Summarization

Neural Question Generation from Text: A Preliminary Study

4 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.

Question Generation

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