AI and Deep Learning for NLP: : Tools and Techniques for the Enterprise / Chu-Carroll, Jennifer.

Format:

Conference/Event

Video

Author/Creator:

Chu-Carroll, Jennifer, author.

Hammond, Kristian, author.

Carmiel, Yishay, author.

Musbah, Mohamed, author.

Mugan, Jonathan, author.

Conference Name:

O'Reilly Artificial Intelligence Conference (2017 : New York, NY)

Language:

English

Subjects (All):

Machine learning--Congresses.

Machine learning.

Artificial intelligence--Congresses.

Artificial intelligence.

Natural language processing (Computer science)--Congresses.

Natural language processing (Computer science).

Computer simulation--Congresses.

Computer simulation.

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 3 hr., 23 min.)

Edition:

1st edition

Other Title:

Artificial Intelligence and deep learning for Natural Language Processing

Place of Publication:

O'Reilly Media, Inc., 2017.

System Details:

video file

Summary:

What is this video about, and why is it important? Natural language processing (NLP) involves the application of machine learning and other statistical techniques to derive insights from language. As the volume of text-based data, such as documents, tweets, and email, continues to grow, techniques in natural language processing are becoming central to modern intelligent applications. This video will bring you up-to-speed on the state of NLP, and explore current approaches to integrate AI and deep learning at scale for NLP. You’ll learn strategies for moving from proof of concept to a full-scale product, understand key techniques in NLP, and learn how to integrate these techniques based on the goals for your business. In this series of five curated talks from O’Reilly’s Artificial Intelligence Conference in New York, June 2017, you'll join a group of experts in the field of AI to discover deep learning breakthroughs for conversational AI, understand the technologies involved with this emerging field, and learn what is possible with current NLP techniques. What you’ll learn—and how you can apply it Explore the current landscape relating to natural language understanding in the enterprise, including bots, natural language processing, and text generation Understand the challenges of and techniques for scaling up NLP in the enterprise Learn about recent deep learning breakthroughs for conversational AI, and how they can be utilized in practice Understand the research underpinning AI products and services powered by language understanding Learn about current approaches in reading comprehension, and how they can be used as a benchmark for evaluating NLP systems Gain a broad understanding of techniques in advanced natural language generation, options for related technologies, and how to choose the best options for your business goals Discover examples of the practical applications of artificial intelligence in the context of machine reading and writing, including questioning, answering, and decision making Explore key research areas and learn how they will power new products and services in language understanding Understand the current state of the art in NLP Identify traditional versus new deep learning-based approaches to NLP, and understand when to utilize each approach This video is for you because… You are a data scientist who needs to process natural language data, and you are interested in moving from traditional to deep learning-based techniqu...

Contents:

Beyond the state of the art in reading comprehension / Jennifer Chu-Carroll

What, how and why : the dynamic of advanced NLG / Kristian Hammond

Conversational AI at large scale / Yishay Carmiel

Bigger than bots : machine reading and writing in enterprise / Mohamad Musbah

Adding meaning to natural language processing / Jonathan Mugan.

Participant:

Presenters, Jennifer Chu-Carroll, Kristian J. Hammond, Yishay Carmiel, Mohamed Musbah, Jonathan Mugan.

Notes:

Online resource; Title from title screen (viewed August 25, 2017)

Title and publication information from resource description page (Safari, viewed September 29, 2017).

Contains:

Beyond the state of the art in reading comprehension.

What, how and why : the dynamic of advanced NLG.

Conversational AI at large scale.

Bigger than bots : machine reading and writing in enterprise.

Adding meaning to natural language processing.

OCLC:

1004966480