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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > 2017³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ

2017³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ

Current Result Document : 149 / 184

ÇѱÛÁ¦¸ñ(Korean Title) Äܺ¼·ç¼Ç Àΰø½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ ´Ü¾î º¤ÅÍ »ý¼º
¿µ¹®Á¦¸ñ(English Title) Generating Word Representations with Convolutional Neural Networks
ÀúÀÚ(Author) Ã÷³ª·¼ ÀçÀÌ´Ù À庴Ź  
¿ø¹®¼ö·Ïó(Citation) VOL 44 NO. 01 PP. 0752 ~ 0754 (2017. 06)
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(Korean Abstract)
Various architectures have been used for the task of language modelling. In this paper we look at a previously introduced architecture that combines CNNs, highway layers and LSTMs in and end to end trainable model. By introducing a small modification to this model we were able to achieve the same perplexity levels with less parameters.
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(English Abstract)
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