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Topic Interpretation Using Wordnet
Eduard Barbu, Heili Orav, Kadri Vare
9 - 17
10.3233/978-1-61499-912-6-9
Frontiers in Artificial Intelligence and Applications
Volume 307: Human Language Technologies – The Baltic Perspective
Abstract

This is a preliminary study in topic interpretation for the Estonian language. We estimate empirically the best number of topics to compute for a 185 million newspaper corpus. To assess the difficulty of topics, they are independently labeled by two annotators and translated into English. The Estonian Wordnet and Princeton Wordnet are then used to compute the word pairs in the topics that have high taxonomic similarity.

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