Amanote Research

Amanote Research

    RegisterSign In

Link Analysis Based on Rhetorical Relations for Multi-Document Summarization

IEICE Transactions on Information and Systems - Japan
doi 10.1587/transinf.e96.d.1182
Full Text
Open PDF
Abstract

Available in full text

Categories
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
Date

January 1, 2013

Authors
Nik Adilah Hanin BINTI ZAHRIFumiyo FUKUMOTOSuguru MATSUYOSHI
Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)


Related search

A Survey for Multi-Document Summarization

2003English

AMDS: Sentence Extraction Based Proficient Framework for Multi-Document Summarization

2013English

Multi-Document Summarization for Terrorism Information Extraction

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

A SVM-Based Ensemble Approach to Multi-Document Summarization

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Multi Document Summarization Using EM Clustering

IOSR Journal of Engineering
2014English

Multi-Document Summarization Using Tensor Decomposition

Computacion y Sistemas
Computer Science
2014English

Sentence Ordering With Manifold-Based Classification in Multi-Document Summarization

2006English

Novel Algorithm for Multi-Document Summarization Using Lexical Concept

International Journal of Trend in Scientific Research and Development
2018English

Dependency-Based Sentence Alignment for Multiple Document Summarization

2004English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy