addressalign-toparrow-leftarrow-rightbackbellblockcalendarcameraccwcheckchevron-downchevron-leftchevron-rightchevron-small-downchevron-small-leftchevron-small-rightchevron-small-upchevron-upcircle-with-checkcircle-with-crosscircle-with-pluscontroller-playcrossdots-three-verticaleditemptyheartexporteye-with-lineeyefacebookfolderfullheartglobegmailgooglegroupshelp-with-circleimageimagesinstagramFill 1light-bulblinklocation-pinm-swarmSearchmailmessagesminusmoremuplabelShape 3 + Rectangle 1ShapeoutlookpersonJoin Group on CardStartprice-ribbonprintShapeShapeShapeShapeImported LayersImported LayersImported Layersshieldstartickettrashtriangle-downtriangle-uptwitteruserwarningyahoo

Understanding Natural Language Understanding

  • Jul 16, 2014 · 7:00 PM

ACM SIGAI (Artificial Intelligence) Bay Area Chapter inaugural meeting

Title: Understanding Natural Language Understanding

Abstract:  Human language is the ultimate user interface.  As computers migrate from desktop to pocket, car, home, and face, we increasingly rely on them to understand the meaning of our words.  In this talk, I will survey the rapidly-evolving field of natural language understanding (NLU), including sentiment analysis, relation extraction, semantic parsing, and vector-space models of meaning.  I’ll highlight the impact of massive datasets and deep neural networks, and I’ll report on recent advances in both academia and industry.

Speaker bio: Bill MacCartney is a Senior Research Scientist at Google, where he works on various problems in natural language understanding.  Bill is also a Consulting Assistant Professor of Computer Science at Stanford University, where he has taught CS224U (Natural Language Understanding) since 2010.  During his Ph.D., Bill authored a significant part of the Stanford NLP toolkit, including the Recognizing Textual Entailment (RTE) system.  Bill also serves as an advisor to a number of startups. Bill's profile on the web:

http://nlp.stanford.edu/~wcmac/

http://scholar.google.com/citations?user=mIgILbQAAAAJ

ACM SIGAI Bay Area Chapter: We are dedicated to advancing of machine learning, natural language processing, computer vision, and other AI fields. We are a community of AI researchers, engineers and students helping each other in research, commercial and open-source projects in the field.

Parking: There is free and convenient parking garage right next to Edmodo’s building on Park Place, entrance on the right, when facing Edmodo’s building.

Google Map location



Join or login to comment.

  • Thavidu R.

    Is this recorded by any chance?

    2 · July 16, 2014

  • Rajesh T.

    Will appreciate if Bill's presentation from yesterday's Meetup is posted on this website. It will help in succinctly reviewing the concepts in NLU space. Thanks in advance!

    1 · July 17, 2014

  • BW

    Bill's talk was a fantastic overview of NLU/NLP. Wish his course was available online.

    2 · July 16, 2014

    • George D G.

      Here is a link to Bill's class at Stanford: http://web.stanford.e...­. No video, but lots of slides, papers, and other materials. I found it very useful.

      July 17, 2014

    • BW

      Thanks for the link. Quite a lot of material there. Nice!

      July 17, 2014

  • Esfandiar

    definitely worth the 1.5 hours drive in the rush hour :-)
    Great group, great speaker, great discussions afterwards, overall 6 out of 5 stars.

    1 · July 17, 2014

    • Tikeswar N.

      totally agree :)

      July 17, 2014

    • A former member
      A former member

      me too. thanks to Bill for presenting, and George for organizing!

      July 17, 2014

  • George S.

    Good survey of stuff from a high and yet technical level.

    1 · July 17, 2014

  • Liwei

    I'll join. Looking forward to it!

    July 1, 2014

  • Igor Polkovnikov (Igor P.

    I am so sorry, can not make it this time.

    June 20, 2014

    • George D G.

      No worries. We are looking forward for you to join us next time!

      June 20, 2014

People in this
Meetup are also in:

Sign up

Meetup members, Log in

By clicking "Sign up" or "Sign up using Facebook", you confirm that you accept our Terms of Service & Privacy Policy