NLP News Cypher | 06.07.20

Author(s): Ricky Costa

Originally published on Towards AI.

NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER

NLP News Cypher U+007C 06.07.20

Revelations

On the North Dakota Canadian border, therein lies a pyramid…

A cold war relic, symbolizing the drastic measures taken to track incoming ICBMs from our neighbors across the Pacific.

They call it the Stanley R. Mickelsen Safeguard Complex, or as Arnold Schwarzenegger calls it: “home”. And it was decommissioned after several months post-construction, deemed ineffective. Sometimes, your apps just don’t get to go to production.

In other news, this past week we released an update for the Super Duper NLP Repo. We added 41 new notebooks bringing us to 181 total! Thank you to David Talby and Manu Romero for contributing! If you have an awesome NLP notebook to share, please contact us.

This Week:

GPT-2 Lyrics Aftermath

Bulletpoints Demo

This Word Does Not Exist

Altair

TensorFlow TTS

DeepTube

AI Training Costs

Dataset of the Week: InfoTabs

GPT-2 Lyrics Aftermath

Not sure if there has ever been a survey fielded to understand the quality of text generation from GPT-3s little bro: GPT-2. TickPick surveyed 1,003 respondents to find out how much humans enjoyed text generated lyrics and how it benchmarked against real-human lyrics.

Top AI lyric:

“I got my rig in the back of my Beemer. Professional when I graze, I’m professional when I argue. 40 glass, I’m laughing at that s***, I’ma be roaring at that s***.” U+1F91FU+1F91F

They provide more AI-generated lyrics by genre as well:

Bulletpoints Demo

HAIMKE is an awesome text generation model. It allows you to generate text from bulletpoints. What’s even cooler is that they can interweave these statements throughout the generated text. You can give it a drive here:

This Word Does Not Exist

Continuing with the GPT-2 theme, check out this repo where you can use a text generation model for creating definitions and words that don’t exist (in a similar structure found in your Merriam-Webster). They provide saved weights for inference and the ability to train your own model if you wish.

GitHub:

Here’s their Twitter bot.

Altair

When you are not using matplotlib for your visualizations, try out Altair. The API has a clean and simple syntax. (it’s a declarative library U+1F648)

GitHub:

Gallery of Visuals:

TensorFlow TTS

Hey, now speech synthesis is at your fingertips. Dathudeptrai releases an awesome library and it seems it was built for production:

“we can speed-up training/inference progress, optimizer further by using fake-quantize aware and pruning, … and be able to deploy on mobile devices or embedded systems.”

The library allows you to use several different models:

1. MelGAN released with the paper MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
2. Tacotron-2 released with the paper Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
3. FastSpeech released with the paper FastSpeech: Fast, Robust and Controllable Text to Speech
4. Multi-band MelGAN released with the paper: Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech

GitHub:

DeepTube

DeepMind released new lectures on YouTube, and as of today, six of them are up with at least six more on the way! For NLP folks, lecture 6 on recurrent networks is the one for you:

AI Training Costs

An ARK Invest analyst is saying that by Dec 2020, the cost to train a neural network on ResNet50 will be less than $1. Apparently the “cost to train an artificial intelligence (AI) system is improving at 50x the pace of Moore’s Law.”

My bank account says otherwise. U+1F601

Something to chew on U+1F447

Dataset of the Week: InfoTabs

What is it?

Dataset contains human-written textual hypotheses based on premises that are tables extracted from Wikipedia info-boxes.

Sample:

Where is it?

Every Sunday we do a weekly round-up of NLP news and code drops from researchers around the world.

If you enjoyed this article, help us out and share with friends!

For complete coverage, follow our Twitter: @Quantum_Stat

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI