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Stanford NLP Group
Computational Linguistics—Natural Language—Machine Learning—Deep Learning—Technology from Silicon Valley. (, , & )
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Vighnesh Tamse 4. velj
Started the NLP course from from youtube (). Great coursework and very informative. Looking forward to gain more knowledge on NLP.
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Loren Cahlander 4. velj
Natural Language Processing on eXist-db Database -nlp -db -language-processing
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CodeX Stanford 3. velj
Join us tomorrow at 12:45PM PT in SLS Room 190 for a lunchtime series focused on using NLP to study gaps in contracts!
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Diyi Yang 31. sij
Reduce Bias in Text? Find it out in our podcast with 📢
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Smerity 3. velj
Odgovor korisniku/ci @stanfordnlp @yaringal @NvidiaAI
A bit of good news though - -style dropout / DropConnect is one of the few things still possible with a blackbox LSTM implementation! You can apply dropout to the RNN recurrent weights themselves and then run a batch with the blackbox LSTM =] See
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Stanford NLP Group 2. velj
Thread 👇 We’ve also had a difficult time with CuDNN as soon as you want to go beyond a basic LSTM and grab cell states, do -style dropout, etc. Maybe now that has an team, things might get better?
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MMitchell 2. velj
So Google featured me in one of their blogs!! ...Not in the blog for computer scientists tho, that would be silly. In the blog for FEMALE computer scientists. We're like computer scientists, but with cooties.
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Bram Vanroy 2. velj
Changes to my extension spacy_conll: expanded docs on how to use w/ models by using spacy-stanfordnlp to get "real" UD results. Added option for custom tagset mapping in case you have your own tagset mapping.
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Carl Carrie 2. velj
Odgovor korisniku/ci @carlcarrie
Python source code for 2019 nCoV realtime Tracking App Scapy + influxdb + grafana + NLTK + Stanford CoreNLP + Elastic Search with Docker Container
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Jeff Vincent 1. velj
Started "auditing" this Stanford NLP With Deep Learning course. Interest is piqued for sure.
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Hugging Face 31. sij
Transformers 2.4.0 is out 🤗 - Training transformers from scratch is now supported - New models, including *FlauBERT*, Dutch BERT, *UmBERTo* - Revamped documentation - First multi-modal model, MMBT from , text & images Bye bye Python 2 🙃
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GitHaikuBot 1. velj
Update benchmark score Add parse info to output Fix regression test via stanfordnlp/CoreNLP
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Mohit Bansal 31. sij
Big thanks to & for their fellowships (all credit to my awsm students)!😀 Imp: Multiple *POSTDOC positions* in via these awards; pls apply/share ->
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Cheenu 31. sij
It can be challenging for an AI to create humor as it takes more creativity and relational reasoning to create witty context. Check out how Stanford scientists are exploring the concept with a pun generator. :
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Stanford NLP Group 31. sij
Odgovor korisniku/ci @IDAH_IU @kno_way i 9 ostali
Even more so the Stanford
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Wolfram 30. sij
Net of the Week: GloVe 100-dimensional word vectors trained on Tweets: . Thank you Jeffrey Pennington, , & at for creating this model .
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Yonatan Belinkov 29. sij
Looking forward to this visit at tomorrow!
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☆AbuHafiz☆ 29. sij
Stanford Lexical Parser is giving astonishing results with Arabic texts.
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christina levengood 29. sij
Named Entity Recognition in with and
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Kevin Clark 29. sij
Seminar tomorrow: on "Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias" Please join us!
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