0% Complete
Home
/
14th International Conference on Computer and Knowledge Engineering
An Interactive Approach for Query-based Multi-Document Scientific Text Summarization
Authors :
Mohammadsadra Nejati
1
Azadeh Mohebi
2
Abbas Ahmadi
3
1- Amirkabir university of technology
2- Iranian Research Institute for Information Science and Technology (IranDoc)
3- Amirkabir university of technology
Keywords :
Natural Language Processing،Interactive Text Summarization،Information Retrieval،Large Language Models
Abstract :
The overwhelming volume of scientific documents necessitates automatic summarization to assist researchers in efficiently finding relevant data, making informed decisions, and retrieving appropriate answers to their queries. Query-based automatic summarization is to provide a textual summary related to user's initial query. Most of the previous approaches in query-based summarization, only consider the user's initial query to model user's information need, and rarely rely on additional interaction between user and system. This study proposes an interactive multi-document summarization system designed to assist researchers in processing scientific documents. The interactive approach is necessary to refine document selection and improve summary relevance through user feedback. The system utilizes advanced natural language processing techniques to retrieve and summarize relevant content, including query-based summarization to tailor summaries to specific user queries. By incorporating user-generated questions, the system enhances the coherence and pertinence of summaries. The system is tested and evaluated for Persian language. Despite the lack of labeled datasets in the Persian, the proposed approach demonstrates effective summarization through unsupervised methods. User evaluations confirm the system's potential to significantly improve information retrieval and comprehension in scientific research.
Papers List
List of archived papers
A Graph-based Feature Selection using Class-Feature Association Map (CFAM)
Motahare Akhavan - Seyed Mohammad Hossein Hasheminejad
An Interactive Approach for Query-based Multi-Document Scientific Text Summarization
Mohammadsadra Nejati - Azadeh Mohebi - Abbas Ahmadi
Low-Cost and Hardware Efficient Implementation of Pooling Layers for Stochastic CNN Accelerators
Mobin Vaziri - Hadi Jahanirad
FGM Copula based Analysis of Coverage Region for Wireless Three-User Multiple Access Channel with Correlated Channel Coefficients
Mona Sadat Mohsenzadeh - Ghosheh Abed Hodtani
Fatty Liver Level Recognition Using Particle Swarm Optimization (PSO) Image Segmentation and Analysis
Seyed Muhammad Hossein Mousavi - Vyacheslav Lyashenko - Atiye Ilanloo - S. Younes Mirinezhad
Lightweight Local Transformer for COVID-19 Detection Using Chest CT Scans
Hojat Asgarian Dehkordi - Hossein Kashiani - Amir Abbas Hamidi Imani - Shahriar Baradaran Shokouhi
Designing an IT2 Fuzzy Rule-based System for Emotion Recognition Using Biological Data
Mahsa Keshtkar - Hooman Tahayori
Evaluating the Impact of Traveling on COVID-19 Prevalence and Predicting the New Confirmed Cases According to the Travel Rate Using Machine Learning: A Case Study in Iran
Anita Ghandehari - Soheil Shirvani - Hadi Moradi
Energy-Aware Dynamic Digital Twin Placement in Mobile Edge Computing
Mahdi Hematyar - Zeinab Movahedi
Islamic Geometric algorithms: A survey
Elham Akbari - Azam Bastanfard
more
Samin Hamayesh - Version 41.7.6