Extracting Key Sentences from Text
Journal Title: Journal of Independent Studies and Research - Computing - Year 2015, Vol 13, Issue 2
Abstract
Automatic key sentence extraction from a text is a challenging task. It has numerous applications in text processing systems. The actual task of key sentence extraction consists of three main functionalities: (i) Identifi- cation of sentence boundary in a text, (ii) a ranking function that assigns a score between (0-1) for each correctly extract- ed sentence based on important semantics of the text and (iii) Deciding the most relevant sentences based on evalua- tion function. This study carries out a survey about the state of the art in the field. It later proposed a heuristic based extraction using lexical chain of terms. The proposed approach is evaluated by using human based evaluation criteria on some existing text datasets. Encouraging results were obtained.
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- EP ID EP643796
- DOI 10.31645/jisrc/(2015).13.2.0003
- Views 131
- Downloads 0
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