Combining Information Extraction and Text Segmentation methods in Greek Texts

Pavlina Fragkou


In this paper we examine the benefit of performing named entity recognition (NER) and co-reference resolution to a Greek corpus used for text segmentation. The aim here is to examine whether the combination of text segmentation and information extraction is beneficial for identifying various topics that appear in a document. NER was performed using an already existing tool for the Greek corpus. Produced annotations were manually corrected and enriched to cover four types of named entities. Co-reference resolution was subsequently performed manually. The evaluation, using four text segmentation algorithms leads to the conclusion that, information extraction techniques appear to be a promising solution in capturing semantic information for segmentation purposes.

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Artificial Intelligence Research

ISSN 1927-6974 (Print)   ISSN 1927-6982 (Online)

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