A developed framework for multi-document summarization using softmax regression and spider monkey optimization methods

Wilson, Praveen K.; Jeba, J. R.

doi:10.1007/s00500-021-06694-1

Cited by 6 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In summary, they can be divided into two categories: subjective factors and objective factors. Subjective factors include the goals and norms of educational activities, which are reflected in the meaning and value of educational activities [15][16][17][18][19]. Objective factors include the objective conditions and means of educational activities, which are the ways and means to achieve educational activities [20].…”

Section: Introductionmentioning

confidence: 99%

The Optimization Path of Higher Education Resource Allocation in China Based on Fuzzy Set Theory

Zhao¹

2023

3C TIC

View full text Add to dashboard Cite

The use of fuzzy set theory to adjust the educational resource allocation model is the optimal path to achieve the allocation of educational resources. The optimal path realized by fuzzy set theory promotes the healthy development of education and addresses the current important and urgent tasks in the field of higher education in China. This study utilizes the basic theory of fuzzy sets and analyzes dynamic fuzzy set theory, fuzzy relations and fuzzy matrices. The indexes of optimal allocation are selected according to the classification of higher education resources, the fuzzy set multi-objective planning model is designed, and finally, the combination of factors of education production in colleges and universities is optimized. The experiment proves that: the average allocation efficiency of excellent colleges and universities is 0.186, and the average improvement is 35.41% after optimization. The average allocation efficiency of ordinary colleges and universities is 0.174, which is improved by 22.12% on average after optimization. It can be found that the resource allocation efficiency of excellent colleges and universities is generally higher than that of ordinary colleges and universities, and the role of excellent colleges and universities with more abundant resources themselves is greater after the optimization of college resource allocation. It indicates that by adjusting the quantity and structure of educational resources according to the optimization path, the optimization of educational resource allocation can be achieved. This verifies that: the emergence of optimal paths for solving resource allocation realized by fuzzy set theory has greatly expanded the application of fuzzy methods in the field of higher education and provided a new theoretical tool for solving resource allocation.

show abstract

Section: Introductionmentioning

confidence: 99%

The Optimization Path of Higher Education Resource Allocation in China Based on Fuzzy Set Theory

Zhao¹

2023

3C TIC

View full text Add to dashboard Cite

show abstract

HierMDS: a hierarchical multi-document summarization model with global–local document dependencies

Jin

2023

Neural Comput & Applic

View full text Add to dashboard Cite

Single document text summarization addressed with a cat swarm optimization approach

Debnath

Das

2022

Appl Intell

View full text Add to dashboard Cite

The availability of a tremendous amount of online information bringing about a broad interest in extracting relevant information in a compact and meaningful way, prompted the need for automatic text summarization. Hence, in the proposed system, the automated text summarization has been considered as an extractive single-document summarization problem, and a Cat Swarm Optimization (CSO) algorithm-based approach is proposed to solve it, whose objective is to generate good summaries in terms of content coverage, informative, anti-redundancy, and readability. In this work, input documents are pre-processed first. Then the cat population is initialized, where each individual (cat) in a binary vector is randomly initialized in the search space, considering the constraint. The objective function is then formulated considering different sentence quality measures. The Best Cat Memory Pool (BCMP) is initialized based on the objective function score. After that, individuals are randomly distributed for position updating to perform seeking/tracing mode operations based on the mixture ratio in each iteration. BCMP is also updated accordingly. Finally, an optimal individual is chosen to generate the summary after the last iteration. DUC-2001 and DUC-2002 data sets and ROUGE measures are used for system evaluation, and the obtained results are compared with the various state-of-the-art methods. We have achieved approximately 25% and 5% improvement on ROUGE-1 and ROUGE-2 scores on the datasets over the best existing method mentioned in this paper, revealing the proposed method’s superiority. The proposed system is also evaluated considering the generational distance, CPU processing time, cohesion, and readability factor, reflecting that the system-generated summaries are readable, concise, relevant, and fast. We have also conducted a two-sample t-test, and one-way ANOVA test showing the proposed approach is statistically significant.

show abstract

A developed framework for multi-document summarization using softmax regression and spider monkey optimization methods

Cited by 6 publications

References 33 publications

The Optimization Path of Higher Education Resource Allocation in China Based on Fuzzy Set Theory

The Optimization Path of Higher Education Resource Allocation in China Based on Fuzzy Set Theory

HierMDS: a hierarchical multi-document summarization model with global–local document dependencies

Single document text summarization addressed with a cat swarm optimization approach

Contact Info

Product

Resources

About