Closed C-K-Loan closed 2 years ago
Powered by the incredible Spark NLP 3.4.4 and previous releases.
!wget https://setup.johnsnowlabs.com/nlu/colab.sh -O - | bash
!wget https://setup.johnsnowlabs.com/nlu/kaggle.sh -O - | bash
! pip install nlu pyspark streamlit==0.80.0
We are very excited to announce NLU 3.4.4 has been released with over 600 new model, over 75 new languages and 155 languages covered in total,
400% speedup for tokenizers and 18x speedup of UniversalSentenceEncoder on GPU.
On the general NLP side we have transformer based Embeddings and Token Classifiers powered by state of the art CamemBertEmbeddings and DeBertaForTokenClassification based
architectures as well as various new models for
Historical
, Ancient
,Dead
, Extinct
, Genetic
and Constructed
languages like
Old Church Slavonic
, Latin
, Sanskrit
, Esperanto
, Volapük
, Coptic
, Nahuatl
, Ancient Greek (to 1453)
, Old Russian
.
On the healthcare side we have Portuguese De-identification Models
, have NER
models for Gene detection and finally RxNorm Sentence resolution model for mapping and extracting pharmaceutical actions (e.g. analgesic, hypoglycemic)
as well as treatments (e.g. backache, diabetes).
See the comments for further details
600 new models with over 75 new languages including Ancient,Dead and Extinct languages, 155 languages total covered, 400% Tokenizer Speedup, 18x USE-Embeddings GPU speedup in John Snow Labs NLU 3.4.4
We are very excited to announce NLU 3.4.4 has been released with over 600 new model, over 75 new languages and 155 languages covered in total, 400% speedup for tokenizers and 18x speedup of UniversalSentenceEncoder on GPU. On the general NLP side we have transformer based Embeddings and Token Classifiers powered by state of the art CamemBertEmbeddings and DeBertaForTokenClassification based architectures as well as various new models for
Historical
,Ancient
,Dead
,Extinct
,Genetic
andConstructed
languages likeOld Church Slavonic
,Latin
,Sanskrit
,Esperanto
,Volapük
,Coptic
,Nahuatl
,Ancient Greek (to 1453)
,Old Russian
. On the healthcare side we havePortuguese De-identification Models
, haveNER
models for Gene detection and finally RxNorm Sentence resolution model for mapping and extracting pharmaceutical actions (e.g. analgesic, hypoglycemic) as well as treatments (e.g. backache, diabetes).First time language models covered
All Healthcare models
Powered by the amazing Spark NLP for Healthcare 3.5.2 and Spark NLP for Healthcare 3.5.1 releases.