International Conference on Asian Language Processing 2011 , 2011-11-15

Title : ( An Automatic Linguistics Approach for Persian Document Summarization )

Authors: Hossein Kamyar , mohsen kahani , Mohsen Kamyar , Asef Pourmasoumi Hassankiadeh ,

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In this paper we propose a novel technique for summarizing a text based on the linguistics properties of text elements and semantic chains among them. In most summarization approaches, the major consideration is the statistical properties of text elements such as term frequency. Here we use centering theory which helps us to recognize semantic chains in a text, for proposing a new automatic single document summarization approach. For processing a text by centering theory and extracting a coherent summery, a processing pipeline should be constructed. This pipeline consists of several components such as co-reference resolution, semantic role labeling and POS [Part of speech] tagging.

Keywords

, Single-document summarization, Centering Theory, LSI, Extractive,
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@inproceedings{paperid:1025369,
author = {Kamyar, Hossein and Kahani, Mohsen and Kamyar, Mohsen and Pourmasoumi Hassankiadeh, Asef},
title = {An Automatic Linguistics Approach for Persian Document Summarization},
booktitle = {International Conference on Asian Language Processing 2011},
year = {2011},
location = {penang},
keywords = {Single-document summarization; Centering Theory; LSI; Extractive; Persian},
}

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%0 Conference Proceedings
%T An Automatic Linguistics Approach for Persian Document Summarization
%A Kamyar, Hossein
%A Kahani, Mohsen
%A Kamyar, Mohsen
%A Pourmasoumi Hassankiadeh, Asef
%J International Conference on Asian Language Processing 2011
%D 2011

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