The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284.

First Page		Document Content
Date: 2016-02-08 08:36:36 Natural language processing Computational linguistics Semantics Vectors Machine learning Latent semantic analysis Semantic similarity Distributional semantics Word embedding Vector space model Document-term matrix Euclidean vector		The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284. Add to Reading List Source URL: www.inf.ed.ac.uk Download Document from Source Website File Size: 116,64 KB Share Document on Facebook

	Distributional Semantics for Medical Information Extraction Lautaro Quiroz1, Lydia Mennes2, Mostafa Dehghani1, Evangelos Kanoulas1 1 2 University of Amsterdam, CTcue DocID: 1v2Ee - View Document
	Reducing Dimensions of Tensors in Type-Driven Distributional Semantics Tamara Polajnar Luana Fˇagˇarˇas¸an Stephen Clark Computer Laboratory University of Cambridge Cambridge, UK DocID: 1uwQl - View Document
	An Attempt Towards Learning Semantics: Distributional Learning of IO Context-Free Tree Grammars Ryo Yoshinaka Kyoto University, Japan DocID: 1sXZB - View Document
	You and me... in a vector space: modelling individual speakers with distributional semantics Aur´elie Herbelot Behrang QasemiZadeh Centre for Mind/Brain Sciences DFG Collaborative Research Centre 991 DocID: 1sx7s - View Document
	Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics David S. Batista Bruno Martins M´ario J. Silva INESC-ID, Instituto Superior T´ecnico, Universidade de Lisboa DocID: 1rOJ5 - View Document