This guide is the best practical guide to text classification out there. https://t.co/wI1tvuRe3c
— Martin Wicke (@martin_wicke) July 23, 2018
This guide is the best practical guide to text classification out there. https://t.co/wI1tvuRe3c
— Martin Wicke (@martin_wicke) July 23, 2018
New #nlproc post: The Real Problems with Neural Machine Translation https://t.co/Nk2Oomhc1e
— Delip Rao (@deliprao) July 21, 2018
New #nlproc blog post: "Design Patterns for Production NLP Systems" https://t.co/m4a4MYgtfT pic.twitter.com/GUdydhnHVy
— Delip Rao (@deliprao) July 9, 2018
Do check out today's other perspectives: on AI regulation by @MelodyGuan (https://t.co/ieF6NV6gS2) and on the flaws of RL by @andrey_kurenkov (https://t.co/ieGSIc477W). If you have sth to share, reach out to @gradientpub here: editor (at) thegradient (dot) pub
— Sebastian Ruder (@seb_ruder) July 9, 2018
New piece about a direction I'm super excited about: NLP's ImageNet moment has arrived @gradientpub https://t.co/Kb3szva7tC
— Sebastian Ruder (@seb_ruder) July 9, 2018
🍷 × tidytext code-through:
— Mara Averick (@dataandme) July 1, 2018
🗺 "Using French wine reviews to understand TF-IDF" ✍️ @aleszubajak https://t.co/EydHUzPSaK via @storybench #rstats #maps pic.twitter.com/Hk5WK74CfH
New NLP Newsletter w/ even more cool stuff this time! Transfer learning, Chris Olah, Software 2.0, NMT with attention notebook, gradient boosting in-depth, Defense Against the Dark Arts, interpretability and bias, RL, scene understanding https://t.co/qo0y677c0F
— Sebastian Ruder (@seb_ruder) June 25, 2018
Do you often find it cumbersome to track down the best datasets or the state-of-the-art for a particular task in NLP? I've created a resource (a GitHub repo) to make this easier. https://t.co/roV5pFzMQe
— Sebastian Ruder (@seb_ruder) June 22, 2018
Natural Language Decathlon (decaNLP) — a test for multi-task NLP
— Mark Riedl airplane emoji SFO airplane emoji OHR (@mark_riedl) June 20, 2018
Blog: https://t.co/wXbDvDcKLh
Paper: https://t.co/sGBOv4tqEx
Code: https://t.co/D3gphpJvLn pic.twitter.com/bcPW8g8Rel
All the code has been open sourced at https://t.co/KSp2pOdQNv
— Bryan McCann (@BMarcusMcCann) June 20, 2018
The Natural Language Decathlon: Great to see more research on multi-task / transfer learning coming out of Salesforce Research! Cool that casting everything as QA works so well. https://t.co/v6PSctxmS4
— Sebastian Ruder (@seb_ruder) June 20, 2018
Very excited to announce the natural language decathlon benchmark and the first single joint deep learning model to do well on ten different nlp tasks including question answering, translation, summarization, sentiment analysis, ++https://t.co/R5wbnAQcC3 pic.twitter.com/4fotVhdRow
— Richard (@RichardSocher) June 20, 2018