Automatic Construction of Amharic Semantic Networks from Unstructured Text Using Amharic WordNet
Alelgn Tefera, Yaregal Assabie · 2014
Semantic networks have become key components in many natural language processing applications.This paper presents an automatic construction of Amharic semantic networks using Amharic WordNet as initial knowledge base where intervening word patterns between pairs of concepts in the WordNet are extracted for a specific relation from a given text.For each pair of concepts which we know the relationship contained in Amharic WordNet, we search the corpus for some text snapshot between these concepts.The returned text snapshot is processed to extract all the patterns having n-gram words between the two concepts.We use the WordSpace model for extraction of semantically related concepts and relation identification among these concepts utilizes the extracted text patterns.The system is designed to extract "part-of" and "type-of" relations between concepts which are very popular and frequently found between concepts in any corpus.The system was tested in three phases with text corpus collected from news outlets, and experimental results are reported.