Narayan Acharya @_acharyaN
ML Engineer @dMetrics_ | CS @sbucompsc | #NLProc #ComputerVision, #ML, #DeepLearning | https://t.co/sw6FMtqDey | https://t.co/YC9gi1z5xj narayanacharya.com Stony Brook, NY Joined October 2011-
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Oh we're still there...we're just what's underneath doing the actual processing 🙂
Oh we're still there...we're just what's underneath doing the actual processing 🙂
Want to work with good people, on exciting NLP problems, and from anywhere on the planet? Feel free to reach out to if you have any questions :)
Want to work with good people, on exciting NLP problems, and from anywhere on the planet? Feel free to reach out to if you have any questions :)
Cap cap sounds better 😅
Have you ever used tqdm? Did you know the dev has only seven sponsors on Github? You can give him a dollar a month here, and he'll pay it forward ten times: github.com/sponsors/caspe…
This. Is. The. Way.
Excited to share 📜SCROLLS📜, a suite of tasks that require reasoning over long texts. Paper arxiv.org/pdf/2201.03533… Data & Leaderboard scrolls-benchmark.com @eladsegal @maorivg @AviaEfrat @OriYoran @adihaviv @ankgup2 @XiongWenhan @megamor2 @JonathanBerant @omerlevy_
I'm feeling pretty good about having no idea what a "wordle" is
spaCy projects let you manage and share end-to-end spaCy workflows for different use cases and domains, and orchestrate training, packaging and serving your custom pipelines. @spacy_io github.com/explosion/proj…
Hey @ResearcherApp Why am I getting the same notification every few seconds on my iPad?
Startups I'm *incredibly* bullish about: @stripe, @Iterativeai, @huggingface, and @explosion_ai. If you're an engineer/PM considering a career change (and it's that time of the year again, no? 😆)—but want to opt away from FAAMG, definitely consider one of the companies above.
my two cents on why NLP as a field is focusing on the ML-ish / algorithmic / leaderboard-ish aspects (incl., now, LLMs) and not on the underlying language phenomena: it is just so much easier, on so many levels.
Pro tip: @spacy_io has various built-in debugging commands, my favourite being 'spacy debug model'. It shows the internal weights and parameters of a Thinc model with its various layers, dimensions and initializations. Fun for tracking network weights on the console 🤓 (1/3)
10 NLP resources for the summer! Books, papers, blog posts, lectures, hands-on courses. From Linguistics to Transformers. 📚📝👩🏫

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