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
Enhanced Principal-curve based Classifiers for Time-series Label Prediction
Seyed Aref Hakimzadeh - Koorush Ziarati
EfficientNetB0’s Hybrid Approach for Brain Tumor Classification from MRI Images Using Deep Learning and Bagging Trees
Yeganeh Modaresnia - Farhad Abedinzadeh Torghabeh - Seyyed Abed Hosseini
Improvement of Credit Scoring by LSTM Autoencoder Model
Milad Sattari Maleki - Seyedeh Niusha Motevallian - Faezehsadat Hosseini - Mohammad Sabokrou - Hamidreza Soltanalizadeh Maleki
Enhancing Lighter Neural Network Performance with Layer-wise Knowledge Distillation and Selective Pixel Attention
Siavash Zaravashan - Sajjad Torabi - Hesam Zaravashan
Information Theoretic Learning-based Deep Embedded Clustering (ITL-DEC)
Hoda Shad - Mona Zamiri - Tahereh Bahreini - Reza Monsefi - Ghoshe Abed Hodtani
Islamic Geometric algorithms: A survey
Elham Akbari - Azam Bastanfard
A 2D-CNN Architecture for Improving the Classification Accuracy of an Electronic Nose with Different Sensor Positions
Hannaneh Mahdavi - Reza Goldoust - Saeideh Rahbarpour
Hybrid navigation based on GPS data and SIFT-based place recognition using Biologically-inspired SLAM
Sahar Salimpour Kasebi - Hadi Seyedarabi - Javad Musevi Niya
Robust Learning to Learn Graph Topologies
Navid Akhavan Attar - Ali Fahim
A Review on Secure Data Storage and Data Sharing Technics in Blockchain-based IoT Healthcare Systems
Seyedeh Somayeh Fatemi Nasab - Davoud Bahrepour - Seyed Reza Kamel Tabbakh
more
Samin Hamayesh - Version 41.5.3