GloVe: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher D. Manning Computer Science Department, Stanford University, Stanford, CA 94305 , , mann

First Page		Document Content
Date: 2018-04-09 22:53:03 Algebra Mathematics Computational linguistics Linear algebra Natural language processing Artificial neural networks Machine learning Word2vec Word embedding Latent semantic analysis Vector space model GloVe		GloVe: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher D. Manning Computer Science Department, Stanford University, Stanford, CA 94305 , , mann Add to Reading List Source URL: nlp.stanford.edu Download Document from Source Website File Size: 2,50 MB Share Document on Facebook

	The 30th Annual Conference of the Japanese Society for Artificial Intelligence, 2016 1O2-2 word2vec を用いた発達過程における言語獲得の分析 Analysis of Word Acquisition in Development Process with word DocID: 1tHuZ - View Document
	Joint word2vec Networks for Bilingual Semantic Representations Lior Wolf, Yair Hanani, Kfir Bar, and Nachum Dershowitz Tel Aviv University Abstract. We extend the word2vec framework to capture meaning DocID: 1tlSH - View Document
	9. KONFERENCA JEZIKOVNE TEHNOLOGIJE Informacijska družba - IS 2014 9th Language Technologies Conference Information Society - IS 2014 DocID: 1rrO1 - View Document
	Linear Algebraic Structure of Word Senses, with Applications to Polysemy arXiv:1601.03764v1 [cs.CL] 14 JanSanjeev Arora DocID: 1rogM - View Document
	Decoding Fashion Contexts Using Word Embeddings Sagar Arora Deepak Warrier Myntra Designs, India DocID: 1ri9a - View Document