id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_vf3gpwvnzzet5j25nijp2jula4	Claudio Delli Bovi	Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis	2015	16	.pdf	application/pdf	8816	782	57	are able to harvest fully disambiguated relation instances on a large scale, and integrate them automatically into a high-quality taxonomy of semantic relations. extract from our input corpus an initial set of semantic relations (Section 2); each relation is then scored (Navigli and Ponzetto, 2012), a wide-coverage multilingual semantic network obtained from the automatic integration of WordNet, Wikipedia and other both sets have a single hypernym covering all arguments, then R arguably captures a well-defined semantic relation and should be assigned high confidence. BabelNet provides a large heterogeneous set comprising definitions from WordNet, Wikipedia, Wiktionary, Wikidata and OmegaWiki. After the extraction process, our knowledge base comprises 255,881 distinct semantic relations, 94% of which also have disambiguated proportion of relations not appearing in existing resources (especially across the random samples) suggests that DEFIE is capable of discovering information not obtainable from available knowledge bases, unified word sense disambiguation and entity linking approach, extracts semantically richer patterns	./cache/work_vf3gpwvnzzet5j25nijp2jula4.pdf	./txt/work_vf3gpwvnzzet5j25nijp2jula4.txt