Introduction to Machine Learning and NLP

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Presentation transcript:

Introduction to Machine Learning and NLP

Agenda Max McCann Phillipe Loher Q&A Applications of NLP Brief History of Machine Learning Current Industry Leaders Phillipe Loher NLP Component – Word Representations Q&A

So Why Natural Language Processing? Making computers more accessible Allow more natural human interaction Find insights from unstructured/semi-structured data

A Brief History of Machine Learning “A computer would deserve to be called intelligent if it could deceive a human into believing that it was human” – Alan Turing

Alan Turing Computing Machinery and Intelligence, 1950 Father of CS and AI Turing Test

The Georgetown Experiment 1954 Translate 60 Russian Sentences Received as a Success in 1954 3-5 Years Est. Translation Solved Funding Cut After 10

Time Line Golden Years 1956 – 1974 First AI Winter 1974 – 1980 AI Boom 1980 – 1987 Second Winter 1987 – 1993

1993 to Present Day Deep Blue Beats Chess Master 1993 Jabberwacky 1997 Cleverbot 59.3% Human 2006 Watson on Jeopardy 2015 Alphago Beats Lee Sedol in Go 2015 SyntaxNet, World’s Most Accurate Parser May 12 2016 Whitehouse Response to AI Oct 12 2016

Home Automation Via NLP

Giants Chasing Unicorns

NLP Applications “If you’ve got a computer that can play Go…then there could be an algorithm that said, Go penetrate the nuclear codes and figure out how to launch some missiles.” – President Obama

What can be done with NL? NL Parsing NL Understanding NL Generation Tokenization, Splitting text into sentences NL Understanding Text context, keywords, summarization, QA NL Generation Speech/Character Recognition

More Applications Part-of-speech Tagging Parsing Question Answering Reference Resolution Discourse Analysis Machine Translation Morphological Segmentation Named Entity Recognition Natural Language Generation Natural Language Understanding Word sense disambiguation Information Retrieval/Extraction Speech Processing Part-of-speech Tagging Parsing Question Answering Relationship Extraction Sentence Breaking Sentiment Analysis Speech Segmentation Topic Segmentation Word Segmentation

Questions

Resources https://www.wired.com/2016/10/president-obama-mit-joi-ito-interview/ https://www.whitehouse.gov/blog/2016/10/12/administrations-report-future- artificial-intelligence https://www.wired.com/insights/2014/02/growing-importance-natural-language- processing/ https://www.youtube.com/channel/UC9EwPNhdtRob_IhKQ0ViVnQ https://www.cbinsights.com/blog/top-acquirers-ai-startups-ma-timeline/ https://www.youtube.com/watch?v=LY7x2Ihqjmc https://events.google.com/io2016/ http://www.ibm.com/watson/