From Ambiguous Words to Key-Concept Extraction

Authors: Márius Šajgalík, Michal Barla, Mária Bieliková
Year: 2013
Venue: 10th International Workshop on Text-based Information Retrieval. Database and Expert Systems Applications.
Link: http://www.uni-weimar.de/medien/webis/events/tir-13/tir13-papers-final/sajgalik13-from-ambiguous-words-to-key-concept-extraction.pdf
Product of the Action: No

Abstract:
Automatic acquisition of keywords for given document is still an area of active research. In this paper, we consider shift from keyword-based representation to other perspective on representation of document’s focus in form of key-concepts. The advantage of using concepts over simple words is that concepts, apart from words, are unambiguous. This leads to better understanding of key-concepts than keywords. We present novel method of key-concept extraction, which provides an efficient way of automatic acquisition of key-concepts in machine processing. We evaluate our approach on classification problem, where we compare it to baseline TF-IDF keyword model and present its competitive results. We discuss its potential of its utilisation on the Web.