Good Contents Are Everywhere, But Here, We Deliver The Best of The Best.Please Hold on!
Your address will show here +12 34 56 78

Research

The latest updates from our research team at AYLIEN; project updates, academic paper commentary and science-focused pieces on NLP and Deep Learning.

Latest Posts
Research

A TensorFlow implementation of “A neural autoregressive topic model” (DocNADE)

July 3, 2017

In the last post we looked at how Generative Adversarial Networks could be used to learn representations of documents in an unsupervised manner. In ev...

Research

Modeling documents with Generative Adversarial Networks

June 28, 2017

I presented some preliminary work on using Generative Adversarial Networks to learn distributed representations of documents at the recent NIPS worksh...

Research

A Call for Research Collaboration at AYLIEN 2017

May 17, 2017

At Aylien we are using recent advances in Artificial Intelligence to try to understand natural language. Part of what we do is building products such ...

Research

Flappy Bird and Evolution Strategies: An Experiment

April 13, 2017

Introduction In this post, AYLIEN NLP Research Intern, Mahdi, talks us through a quick experiment he performed on the back of reading an interesting p...

General

Highlights of NIPS 2016: Adversarial Learning, Meta-learning and more

December 21, 2016

Our researchers at AYLIEN keep abreast of and contribute to the latest developments in the field of Machine Learning. Recently, two of our research sc...

General

Highlights of EMNLP 2016: Dialogue, deep learning, and more

November 14, 2016

Here at AYLIEN we have a team of researchers who like to keep abreast of, and regularly contribute to, the latest developments in the field of Natural...

Research

An overview of word embeddings and their connection to distributional semantic models

October 13, 2016

Unsupervisedly learned word embeddings have seen tremendous success in numerous NLP tasks in recent years. So much so that in many NLP architectures, ...

Data Science

A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis

September 22, 2016

Sentiment analysis is widely used to gauge public opinion towards products, to analyze customer satisfaction, and to detect trends. With the prolifera...

Data Science

Source Code Classification Using Deep Learning

August 30, 2016

Programming languages are the primary tool of the software development industry. Since the 1940’s hundreds of them have been created and a huge amount...

Research

An introduction to Generative Adversarial Networks (with code in TensorFlow)

August 24, 2016

There has been a large resurgence of interest in generative models recently (see this blog post by OpenAI for example). These are models that can lear...

Looking for an easy to use Text Analysis solution?

Leverage our Deep Learning driven NLP models as part of your analytics workflow. Extract entities, analyze sentiment and categorize text with ease. Get 1,000 calls per day free.

Track and monitor news content with our News API

Search, source and analyze news content from '000's of sources in real time. Use our Text Analysis capabilities to extract what matters from news content at scale. Sign up to a 14-day no commitment trial.