Document Summarization Using Multi-Objective Weighted Graph Embedding Feature and Optimized Rank Based Deep Classifier-Reference-Cited by-同舟云学术

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Document Summarization Using Multi-Objective Weighted Graph Embedding Feature and Optimized Rank Based Deep Classifier

Published:2024-04-18 Issue: Volume:17 Page:163-170
ISSN:
Container-title:2024 International Conference on Expert Clouds and Applications (ICOECA)
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Author:

Mulla Samina¹,Shaikh Nuzhat F.²

Affiliation:

1. STES's Smt Kashibai Navale College of Engineering, Pune,Research Centre Department Of Computer Engineering,Vadgaon Budruk, Pune,Maharashtra,411041

2. Department of Computer Engineering, Modern Education Society's College of Engineering (MESCOE), Pune,Pune,Maharashtra,411001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10612284/10612289/10612649.pdf?arnumber=10612649

Reference30 articles.

1. Summarization of Text and Image Captioning in Information Retrieval Using Deep Learning Techniques

2. Enhancements of Attention-Based Bidirectional LSTM for Hybrid Automatic Text Summarization

3. Abstractive text summarization using LSTM-CNN based deep learning

4. Combining Distant and Partial Supervision for Relation Extraction

5. Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

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