Artex is AnotheR TEXt summarizer
Information Retrieval
2012-10-12 v1 Artificial Intelligence
Computation and Language
Abstract
This paper describes Artex, another algorithm for Automatic Text Summarization. In order to rank sentences, a simple inner product is calculated between each sentence, a document vector (text topic) and a lexical vector (vocabulary used by a sentence). Summaries are then generated by assembling the highest ranked sentences. No ruled-based linguistic post-processing is necessary in order to obtain summaries. Tests over several datasets (coming from Document Understanding Conferences (DUC), Text Analysis Conferences (TAC), evaluation campaigns, etc.) in French, English and Spanish have shown that summarizer achieves interesting results.
Keywords
Cite
@article{arxiv.1210.3312,
title = {Artex is AnotheR TEXt summarizer},
author = {Juan-Manuel Torres-Moreno},
journal= {arXiv preprint arXiv:1210.3312},
year = {2012}
}
Comments
11 pages, 5 figures. arXiv admin note: substantial text overlap with arXiv:1209.3126