Title : ( Pasokh: A Standard Corpus for the Evaluation of Persian Text Summarizers )
Authors: Behdad Behmadi Moghaddas , Mohsen Kahani , ahmad toosi , Asef Pourmasoumi Hassankiadeh , Ahmad Estiry ,
Full TextAbstract
The increasingly vast amount of information, particularly on the Web, has resulted in a profound need for automatic summarization systems. The systems, in turn, need to be evaluated in terms of how desirably they can retrieve information. The evaluation is done by comparing the machine summaries against a standard reference corpus containing a reasonably large number of text sources and the summaries that human beings have made out of them. Due to the lack of such a standard corpus for Persian, the summarizers that were developed used to be evaluated against the small corpora constructed by the developers of the proposed systems. This made the systems non comparable. Thus, Pasokh was constructed as a standard large enough reference corpus. It took over 2000 man-hours of work.
Keywords
, computational processing of Persian;single document automatic summarization; multi, document automatic summarization; evaluation of automatic summarization;evaluation corpus
@inproceedings{paperid:1038457,
author = {Behmadi Moghaddas, Behdad and Kahani, Mohsen and Toosi, Ahmad and Pourmasoumi Hassankiadeh, Asef and Estiry, Ahmad},
title = {Pasokh: A Standard Corpus for the Evaluation of Persian Text Summarizers},
booktitle = {3th International eConference on Computer and Knowledge Engineering (ICCKE)},
year = {2013},
location = {مشهد, IRAN},
keywords = {computational processing of Persian;single document automatic summarization; multi-document automatic summarization; evaluation of automatic summarization;evaluation corpus},
}
%0 Conference Proceedings
%T Pasokh: A Standard Corpus for the Evaluation of Persian Text Summarizers
%A Behmadi Moghaddas, Behdad
%A Kahani, Mohsen
%A Toosi, Ahmad
%A Pourmasoumi Hassankiadeh, Asef
%A Estiry, Ahmad
%J 3th International eConference on Computer and Knowledge Engineering (ICCKE)
%D 2013
