id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_y35s5ut7lrfohfo57zc6wejzyu	Peter D. Turney	Distributional Semantics Beyond Words: Supervised Learning of Analogy and Paraphrase	2013	14	.pdf	application/pdf	8864	818	64	this approach is that it works with both relational similarity (analogy) and compositional similarity between word pairs (SAT analogies and SemEval 2012 Task 2) and measuring compositional similarity between nounmodifier phrases and unigrams (multiplechoice paraphrase questions). two words is calculated by comparing the two corresponding context vectors (Lund et al., 1995; Landauer and Dumais, 1997; Turney and Pantel, 2010). On a set of eighty multiple-choice synonym questions from the test of English as a foreign language (TOEFL), a distributional approach phrase or sentence is computed from the representations of the individual words (Mitchell and Lapata, 2010; Baroni and Zamparelli, 2010). The dual-space model has been applied to measuring compositional similarity (paraphrase recognition) and relational similarity (analogy recognition). To measure the relational similarity between two word pairs, we train SuperSim The general feature space for learning relations and compositions is presented in Section 3. This section presents experiments with learning relational similarity using SuperSim. The training	./cache/work_y35s5ut7lrfohfo57zc6wejzyu.pdf	./txt/work_y35s5ut7lrfohfo57zc6wejzyu.txt