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Towards the Automatic Extraction of Term-defining Contexts in Lithuanian
Agnė Bielinskienė, Loïc Boizou, Jolanta Kovalevskaitė, Andrius Utka
18 - 26
10.3233/978-1-61499-133-5-18
Frontiers in Artificial Intelligence and Applications
Volume 247: Human Language Technologies – The Baltic Perspective
Abstract

The paper presents the ongoing-research to apply a pattern-based approach for Lithuanian which can help to automatically extract term-defining contexts from a specialized corpus of education and science. The stages of research include analysis of constituting elements in definitional patterns; formalization of definitional patterns; automatic extraction of term-defining contexts. The first evaluation shows that despite the relatively low frequency of term-defining contexts, their quality can be high enough to serve as a starting point for definitions.

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