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Fuzzy swarm diversity hybrid model for text summarization ...
MMI diversity based text summarization. IJCSS International Journal of Computer Science and Security. v3 i1. 23-33. Google Scholar ... H., Eslami, E., Dehkordy, P.K., & Tajoddin, A. (2008). Optimizing text summarization based on fuzzy logic. In Proceedings of the seventh IEEE/ACIS international conference on computer and information science ...
Journal Papers | Prof. Dr. Naomie Salim
M.S. BinWahlan, Salim,N and L. Suanmali, (2009), “MMI Diversity-based Text Summarization”, International Journal of Computer Science and Security, 3: ... (2009) “Swarm Diversity Based Text Summarization”, Neural Information Processing, 5864:216-225 (Scopus indexed) Okfalisa, Alias R.A., Wong K.Y. and Salim,N (2009). “A Review on ......
Fuzzy evolutionary cellular learning automata model for ...
FSDH : This work proposes a fuzzy swarm diversity hybrid model for text summarization. It combines three methods: (i) MMI diversity, (ii) swarm diversity based method, and (iii) fuzzy swarm based method. • FEOM : In this work, a model is proposed based on fuzzy evolutionary optimization which performs document clustering. The sentences with ......
CiteSeerX — ~aculty ofScience and Technology,
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract: Diversity of selected sentences is an important factor in automatic text summarization to control redundancy in the summarized text. In this paper, we propose a method called maximal marginal importance (MMI) for text summarization based on the idea of the well-known diversity approach maximal marginal ......
Summarization: (1) Using MMR for Diversity- Based ...
Jade Goldstein, Jaime Carbonell. TIPSTER TEXT PROGRAM PHASE III: Proceedings of a Workshop held at Baltimore, Maryland, October 13-15, 1998. 1998.
pSum-SaDE: A Modified p-Median Problem and Self-Adaptive ...
MMI (Maximal Marginal Importance) is also a diversity-based text summarization method for summary generation. It depends on the extraction of the most important sentences from the original text. It depends on the extraction of the most important sentences from the original text.
 The Use of MMR, Diversity-Based Reranking for Reordering ...
diversity search and relevance-only search. 4 Summarization If we consider document summarization by relevant- passage extraction, we must again consider relevance as well as anti-redundancy. Summaries need to avoid redundancy, as it defeats the purpose of summarization.
Automatic summarization - Wikipedia
Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content.. In addition to text, images and videos can also be summarized. Text summarization finds the most informative sentences in a document; image summarization finds the most representative images ......
Intellectual Property | Prof. Dr. Naomie Salim
Diversity-Based Approach using Maximal Marginal Importance(MMI) (patent filling PI 2011001276) Fuzzy Swarm Based Model for Text Summarization (patent filling PI 2011 001277) Arabic Plagiarism Detection Web-Enabled System(patent filling PI 2010 004227) Probality-Based Molecular Similarity Searching(patent filling PI 2009 1112)...
The use of MMR, diversity-based reranking for reordering ...
Automated query-relevant summarization and diversity-based reranking. In 15th International Joint ConJerence on Artificial Intelligence, Workshop: AI in Digital Libraries, pages 9- 14, Nagoya, Japan, August 1997.
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