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Information retrieval, Artificial intelligence, Learning, Machine learning, Natural language generation, Natural language processing

On Mar 12, 2019
@TheIotWarehouse shared
What Every Natural Language Processing Engineer Needs to Know About Pre-Trained Language Models https://t.co/jvAmloDo9m by thinkmariya via topbots #NLP #AI #DeepLearning #DataScience Cc schmarzo KirkDBorne SpirosMargaris DeepLearn007 https://t.co/17YnPprM7R
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What Every NLP Engineer Needs to Know About Pre-Trained Language Models

Practical applications of Natural Language Processing (NLP) have gotten significantly cheaper, faster, and easier due to the transfer learning capabilities enabled by pre-trained language ...

On Mar 12, 2019
@TheIotWarehouse shared
What Every Natural Language Processing Engineer Needs to Know About Pre-Trained Language Models https://t.co/jvAmloDo9m by thinkmariya via topbots #NLP #AI #DeepLearning #DataScience Cc schmarzo KirkDBorne SpirosMargaris DeepLearn007 https://t.co/17YnPprM7R
Open

What Every NLP Engineer Needs to Know About Pre-Trained Language Models

Practical applications of Natural Language Processing (NLP) have gotten significantly cheaper, faster, and easier due to the transfer learning capabilities enabled by pre-trained language ...

No time to read AI research? We summarized top 2018 papers for you

Trying to keep up with AI research papers can feel like an exercise in futility given how quickly the industry moves. If you’re buried in papers to read that you haven’t quite gotten around ...

The Beginner’s Guide to Using Natural Language Generation to Scale Content Marketing

Natural language generation (NLG) is a powerful AI technology that can help you create content at scale. Here’s how marketers can start using it.

The major advancements in Deep Learning in 2018

Deep Learning has changed the entire landscape over the past few years and its results are steadily improving. This article presents some of the main advances and accomplishments in Deep ...

NLP Breakthrough Imagenet Moment has arrived

Since then, the standard way of conducting NLP projects has largely remained unchanged: word embeddings pretrained on large amounts of unlabeled data via algorithms such as word2vec and ...

The Stanford Natural Language Processing Group

Natural Language Decathlon: Multitask Learning as Question Answering Bryan McCann, Nitish Keskar, Richard Socher, Salesforce Research Venue: Room 392, Gates Computer Science Building ...

LMSS @ Cornell Tech: Richard Socher / The Natural Language Decathlon

Richard Socher (Salesforce) @ the Cornell Tech Learning Machines Seminar Series (LMSS -- http://lmss.tech.cornell.edu/). TITLE: The Natural Language Decathlo...

The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)

The year 2018 has been an inflection point for machine learning models handling text (or more accurately, Natural Language Processing or NLP for short). Our conceptual understanding of how ...

EMNLP 2018 Highlights: Inductive bias, cross-lingual learning, and more

The post discusses highlights of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). You can find past highlights of conferences here. You can find all 549 ...

The 4 Biggest Open Problems in NLP

This is the second post based on the Frontiers of NLP session at the Deep Learning Indaba 2018. It discusses 4 major open problems in NLP.

Vlad Niculae, Instituto de Telecomunicações, Lisbon, Portugal

We demonstrate sparse and structured attention mechanisms, as well as latent computation graph structure learning, with successful empirical results on large scale problems including ...

The Natural Language Decathlon: Multitask Learning as Question Answering

Registration URL: https://blog.nus.edu.sg/salesforce/ Abstract: Deep learning has improved performance on many natural language processing (NLP) tasks individually. We introduce the Natural ...