Jason Baldridge

@jasonbaldridge

Research scientist at Google in Austin working on natural language processing.

ATX
Vrijeme pridruživanja: ožujak 2010.

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  1. Prikvačeni tweet
    16. pro 2019.

    In my talk on "Grasping Language" at the NeurIPS ViGIL workshop, I argue not only that language grounding research is exciting, but also try to make a pitch for language as a rather special modality for sorting out human intelligence. Video/slides here:

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  2. proslijedio/la je Tweet

    Ceci n’est pas une banane

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  3. Ceci n’est pas une banane

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  4. Ceci n’est pas une banane

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  5. 3. velj

    Re the virtual traffic hack: “We’ve launched the ability to distinguish between cars and motorcycles... though we haven’t quite cracked traveling by wagon. We appreciate seeing creative uses of Google Maps like this...”😃

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  6. proslijedio/la je Tweet
    3. velj

    Come work with us as an intern on and at ! We have exciting research, a great team, and a very cute dog!

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  7. proslijedio/la je Tweet
    3. velj
    Odgovor korisnicima

    Academic autonomy depends on funding budgets and fashions. Sometimes funders are enlightened (), more often not.

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  8. proslijedio/la je Tweet
    2. velj
    Odgovor korisnicima

    My Ph.D in English actually did create a Regency bias. <rimshot> Thank you I'm here all week.

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  9. proslijedio/la je Tweet
    2. velj
    Odgovor korisnicima

    Interestingly if you ask ppl from different cultures to explain sthing you see v different things qualify as a sarisfactory explanation

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  10. 2. velj

    At first I was like “there’s no way you can change four kids’ diapers on that thing.” Multiple contextual factors allowed me to reinterpret “4” as “for” here...

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  11. proslijedio/la je Tweet
    2. velj

    Plenty of people start in our research organization and then migrate onto product teams! Vice versa too of course. The point is that working your PhD creates a recency bias toward valuing research higher in and of itself, rather than considering each opportunity clearly.

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  12. 2. velj

    Plenty of people start in our research organization and then migrate onto product teams! Vice versa too of course. The point is that working your PhD creates a recency bias toward valuing research higher in and of itself, rather than considering each opportunity clearly.

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  13. 2. velj

    This also comes up when I discuss software engineering roles versus research roles at Google. People finishing their PhDs are often stuck on only valuing the research roles, even though product teams have deep, interesting problems—and tackling them can create huge impact!

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  14. 2. velj

    Yes! If you think about “interpretability” of decisions or actions of people (including oneself), what we get are actually justifications (expressed in language). And these “explanations” allow us to reason collectively. See The Enigma of Reason:

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  15. proslijedio/la je Tweet
    1. velj

    I'm not sure if the field is in fact self correcting, if its true then thats great news. But I agree with the rest and the field needs to go in the direction of self correcting. Constantly chasing deadlines without the ability to think is not good for science health or happiness.

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  16. proslijedio/la je Tweet
    31. sij
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  17. proslijedio/la je Tweet
    23. sij

    Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!

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  18. proslijedio/la je Tweet
    24. sij

    It's a pity most recent grads I interview don't know EM since teaching HMMs have fallen out of favor with the rise of DL models (HMMs are the first place many first encounter EM in NLP). General ML courses seem to skip EM too since there is already so much to cover in DL.

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  19. proslijedio/la je Tweet
    22. sij

    I see many papers that begin with a sentence equivalent to "Topic X is popular". Popularity is not a sound scientific reason for studying a topic, so such opening sentences strike me as lame. How about "This paper shows how to solve issue Y with method M for X"? 1/2

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  20. proslijedio/la je Tweet
    18. sij

    Talking about opens a giant can of worms. One worm: what is it that we compose and where does it come from? What is it that does composition, and where does it come from? I've tried to put some thoughts together on . /1

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  21. 20. sij

    Can’t resist linking to the relevant scene in Life of Brian:

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