id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_7dbhbon7qnde7pnrlnuwtsy5mu	Andrea Moro	Entity Linking meets Word Sense Disambiguation: a Unified Approach	2014	14	.pdf	application/pdf	9257	1034	71	Entity Linking meets Word Sense Disambiguation: a Unified Approach Entity Linking meets Word Sense Disambiguation: a Unified Approach Entity Linking (EL) and Word Sense Disambiguation (WSD) both address the lexical ambiguity of language. on a loose identification of candidate meanings coupled with a densest subgraph heuristic which selects high-coherence semantic interpretations. Our experiments show state-ofthe-art performances on both tasks on 6 different datasets, including a multilingual setting. a densest subgraph heuristic on the available semantic interpretations of the input text to perform a joint 3. We create a graph-based semantic interpretation of the whole text by linking the candidate We consider BabelNet as a directed multigraph which contains both concepts and named entities as its vertices and a multiset of semantic relations as its edges. • The SemEval-2007 task 7 dataset for coarsegrained English all-words WSD (Navigli et al., UKB w2w system,8 a knowledge-based WSD approach (Ponzetto and Navigli, 2010) which exploits	./cache/work_7dbhbon7qnde7pnrlnuwtsy5mu.pdf	./txt/work_7dbhbon7qnde7pnrlnuwtsy5mu.txt