Hi everyone,<div>    Today, I will introduce distributed representation of phrases and sentences for you. <font size="2">Single-word vector space models have been
very successful at learning lexical information. However, they cannot capture the compositional meaning of longer phrases, preventing them from a deeper understanding of language. With</font><span style="font-size: 10pt;"> this presentation, it proposes </span><span style="font-size: 10pt; font-style: italic;">Paragraph Vector</span><span style="font-size: 10pt;">, an unsupervised algorithm that learns fixed-length feature representations from variable-length pieces of texts, such as
sentences, paragraphs, and documents.</span></div><div><span style="font-size: 10pt;"> </span></div><div><span style="font-size: 10pt;">Thank you,</span></div><div><span style="font-size: 10pt;">by Shanshan</span></div>
                
        
        
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