FINDING OUT NOISY PATTERNS FOR RELATION EXTRACTION OF BANGLA SENTENCES

Relation extraction is one of the most important parts of natural language processing. It is the process of
extracting relationships from a text. Extracted relationships actually occur between two or more entities of
a certain type and these relations may have different patterns. The goal of the paper is to find out the noisy
patterns for relation extraction of Bangla sentences. For the research work, seed tuples were needed
containing two entities and the relation between them. We can get seed tuples from Freebase. Freebase is a
large collaborative knowledge base and database of general, structured information for public use. But for
Bangla language, there is no available Freebase. So we made Bangla Freebase which was the real
challenge and it can be used for any other NLP based works. Then we tried to find out the noisy patterns
for relation extraction by measuring conflict score.