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Weakly Supervised Abstractive summarization with Enhancing Factual Consistency for Chinese Complaint Reports

Computers, Materials & Continua 2023年第6期75卷 6201-6217页

作者： Ren Tao Chen Shuang Software College Northeastern UniversityShenyang110000China

A large variety of complaint reports reflect subjective information expressed by citizens.A key challenge of text summarization for complaint reports is to ensure the factual consistency of generated summary.Therefore,in this paper,a simple and weakly supervised framework considering factual consistency is proposed to generate a summary of city-based complaint reports without pre-labeled sentences/words.Furthermore,it considers the importance of entity in complaint reports to ensure factual consistency of summary.Experimental results on the customer review datasets(Yelp and Amazon)and complaint report dataset(complaint reports of Shenyang in China)show that the proposed framework outperforms state-of-the-art approaches in ROUGE scores and human evaluation.It unveils the effectiveness of our approach to helping in dealing with complaint reports.

关键词： automatic summarization abstractive summarization weakly supervised training entity recognition

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A Method of Event Ontology-Based Single automatic summarization

A Method of Event Ontology-Based Single Automatic Summarizat...

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2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Zhong Zhaoman Li Cunhua GUAN Yan School of Computer Engineering Huaihai Institute of Technology Lianyungang China

This paper presents a novel single automatic summarization method based on event ontology （EOSum） after analyzing the advantages and disadvantages of event-based automatic summarization.EOSum takes event ontology as semantic resources to reduce events and compute event weights of a document.Event weights and text readability are synthetically considered in the process of selecting events as the summary of a document.The experiment results show that the method proposed can achieve better summarization.

关键词： automatic summarization event ontology event reducing event weight

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Automated summarization Evaluation Based on Clouds Model

Automated Summarization Evaluation Based on Clouds Model

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第五届全国信息检索学术会议

作者： Hua LONG~(1,2*) Zhongshi HE~1 Shuangqing LI~1 Jia YOU~1 1 College of Computer Science,Chongqing University,Chongqing 400044,China 2 College of Computer Science,Chongqing University of Technology,Chongqing 400050,China

A new algorithm based on clouds model is proposed,which is used for automatic summarization evaluation.How to abstract suitable Dependence Content Unit(DCU) from summarization automatically to determine the quantify domain is studied.This result will be used for transforming test summarization into clouds drop and clouds model,so the characteristic value is calculated for evaluation.In this algorithm,not only the fuzziness of contribution to the quality of abstract by DCU is considered,but also the randomness.The automation of the whole evaluation process can be reached.The results of comparison experiments show that this algorithm has good similarity with manual method.

关键词： automatic summarization Evaluation measures Dependency grammar Clouds model

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