Теріс мысалдар

This paper investigates the application of an existing seed-based minimally super- vised learning algorithm to different so- cial domains exhibiting different proper- ties of the available data. A systematic analysis …...

AbstractWe propose a novel word embedding-based hypernym generation model that jointly learns clusters of hyponym-hypernym relations, i.e., hypernymy, and projections from hyponym to hypernym embeddings. Most of the recent hypernym …...

AbstractExtracting structured and grounded fact triples from raw text is a fundamental task in Information Extraction (IE). Existing IE datasets are typically collected from Wikipedia articles, using hyperlinks to link …...