word embedding

by Synced 2017-09-21 0

Research

Adversarial Training Methods For Semi-Supervised Text Classification

In applying the adversarial training, this paper adopts distributed word representation, or word embedding, as the input, rather than the traditional one-hot representation. The reason lies in the fact that the higher dimensionality the input has, the more likely it is to be disturbed by noise.

by Synced 2017-06-02 1

Research

Word2vec: Google’s New Leap Forward on the Vectorized Representation of Words

Word2vec is an open source tool developed by a group of Google researchers led by Tomas Mikolov in 2013. It describes several efficient ways to represent words as M-dimensional real vectors, also known as word embedding, which is of great importance in many natural language processing applications

by Synced 2017-05-30 0

Research

25 Tweets to Know You: A New Model to Predict Personality with Social Media

In order to provide personalized ads, tech giants such as Google and Facebook are trying to abstract their users’ personality from their posts on social media. Hence, it is essential for social networking applications to predict personality from written text.

by Synced 2017-05-27 0

Research

Representations for Language: From Word Embeddings to Sentence Meanings

This talk was recently given by Prof. Christopher Manning at Simons Institute, UC Berkeley. It is an introductory tutorial without complicated algorithms.