%PDF-1.3 1 0 obj << /Kids [ 4 0 R 5 0 R 6 0 R 7 0 R 8 0 R 9 0 R 10 0 R 11 0 R 12 0 R ] /Type /Pages /Count 9 >> endobj 2 0 obj << /Subject (Neural Information Processing Systems http\072\057\057nips\056cc\057) /Publisher (Curran Associates\054 Inc\056) /Language (en\055US) /Created (2013) /EventType (Poster) /Description-Abstract (We consider the problem of embedding entities and relationships of multi\055relational data in low\055dimensional vector spaces\056 Our objective is to propose a canonical model which is easy to train\054 contains a reduced number of parameters and can scale up to very large databases\056 Hence\054 we propose\054 TransE\054 a method which models relationships by interpreting them as translations operating on the low\055dimensional embeddings of the entities\056 Despite its simplicity\054 this assumption proves to be powerful since extensive experiments show that TransE significantly outperforms state\055of\055the\055art methods in link prediction on two knowledge bases\056 Besides\054 it can be successfully trained on a large scale data set with 1M entities\054 25k relationships and more than 17M training samples\056) /Producer (PyPDF2) /Title (Translating Embeddings for Modeling Multi\055relational Data) /Date (2013) /ModDate (D\07220141125131549\05508\04700\047) /Published (2013) /Type (Conference Proceedings) /firstpage (2787) /Book (Advances in Neural Information Processing Systems 26) /Description (Paper accepted and presented at the Neural Information Processing Systems Conference \050http\072\057\057nips\056cc\057\051) /Editors (C\056J\056C\056 Burges and L\056 Bottou and M\056 Welling and Z\056 Ghahramani and K\056Q\056 Weinberger) /Author (Antoine Bordes\054 Nicolas Usunier\054 Alberto Garcia\055Duran\054 Jason Weston\054 Oksana Yakhnenko) /lastpage (2795) >> endobj 3 0 obj << /Type /Catalog /Pages 1 0 R >> endobj 4 0 obj << /Contents 13 0 R /Parent 1 0 R /Resources 14 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 55 0 R 56 0 R 57 0 R 58 0 R 59 0 R 60 0 R 61 0 R 62 0 R ] /Type /Page >> endobj 5 0 obj << /Contents 63 0 R /Parent 1 0 R /Resources 64 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 65 0 R 66 0 R 67 0 R 68 0 R 69 0 R 70 0 R 71 0 R 72 0 R 73 0 R 74 0 R 75 0 R 76 0 R 77 0 R 78 0 R 79 0 R 80 0 R 81 0 R 82 0 R 83 0 R 84 0 R ] /Type /Page >> endobj 6 0 obj << /Contents 85 0 R /Parent 1 0 R /Resources 86 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 135 0 R 136 0 R 137 0 R 138 0 R 139 0 R 140 0 R 141 0 R 142 0 R 143 0 R 144 0 R ] /Type /Page >> endobj 7 0 obj << /Contents 145 0 R /Parent 1 0 R /Resources 146 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 163 0 R 164 0 R 165 0 R 166 0 R 167 0 R 168 0 R 169 0 R 170 0 R 171 0 R 172 0 R 173 0 R 174 0 R 175 0 R 176 0 R 177 0 R 178 0 R 179 0 R 180 0 R ] /Type /Page >> endobj 8 0 obj << /Contents 181 0 R /Parent 1 0 R /Resources 182 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 183 0 R 184 0 R 185 0 R 186 0 R 187 0 R 188 0 R 189 0 R 190 0 R 191 0 R 192 0 R 193 0 R 194 0 R 195 0 R 196 0 R ] /Type /Page >> endobj 9 0 obj << /Contents 197 0 R /Parent 1 0 R /Resources 198 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 199 0 R 200 0 R 201 0 R 202 0 R 203 0 R 204 0 R 205 0 R 206 0 R 207 0 R 208 0 R ] /Type /Page >> endobj 10 0 obj << /Contents 209 0 R /Parent 1 0 R /Resources 210 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 211 0 R 212 0 R 213 0 R 214 0 R 215 0 R 216 0 R 217 0 R ] /Type /Page >> endobj 11 0 obj << /Contents 218 0 R /Parent 1 0 R /Resources 219 0 R /Group 224 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 225 0 R 226 0 R 227 0 R 228 0 R ] /Type /Page >> endobj 12 0 obj << /Contents 229 0 R /Parent 1 0 R /Type /Page /Resources 230 0 R /MediaBox [ 0 0 612 792 ] >> endobj 13 0 obj << /Length 2905 /Filter /FlateDecode >> stream xÚ•]“›Fò}¨ÊÂ3P÷’øbû┝ºdS©+'U‡ÐH"ŒÈ›½_ÝÓ=±8Nžæ«ééïAÇ@oïÄbüýNÂ(H‘ºÈ£"ƒª½Ã͸ÐAyô&8ÜýûîÕýÝË7iÈ,RÆûC u¥* ´."QÈà~|ï7Yöe74åXwÇÍV¥"|ÝîÌ~ˁևJCÛÓâ½Ý›A½hYle*%”ï/ÍXoûÌCƒXmW6ôé7åXâgw¯ï—ìÄ1Ж";ÁÞ"*€­GÖ:EÐ?θƒ[µÒŽ¹<â<ÒBG:-ˆ’¯»Ñ֝¡Ë_Ù~o†´øPW¶)™½Ÿ†KW›~S¨¿nv¦--Þ–Ž—ª.·ß\zǶRy$TJEWý¢t⎶"Êc…ƒ?*;<