Arabic BertForMaskedLM Base Cased model (from aubmindlab)

Description

Pretrained BertForMaskedLM model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. bert-base-arabertv2 is a Arabic model originally trained by aubmindlab.

Live Demo Open in Colab Download Copy S3 URI

How to use

documentAssembler = DocumentAssembler() \
    .setInputCol("text") \
    .setOutputCol("document")

tokenizer = Tokenizer() \
    .setInputCols("document") \
    .setOutputCol("token")

bert_loaded = BertEmbeddings.pretrained("bert_embeddings_base_arabertv2","ar") \
    .setInputCols(["document", "token"]) \
    .setOutputCol("embeddings") \
    .setCaseSensitive(True)

pipeline = Pipeline(stages=[documentAssembler, tokenizer, bert_loaded])

data = spark.createDataFrame([["I love Spark NLP"]]).toDF("text")

result = pipeline.fit(data).transform(data)

val documentAssembler = new DocumentAssembler()
    .setInputCol("text")
    .setOutputCol("document")

val tokenizer = new Tokenizer()
    .setInputCols("document")
    .setOutputCol("token")

val bert_loaded = BertEmbeddings.pretrained("bert_embeddings_base_arabertv2","ar")
    .setInputCols(Array("document", "token"))
    .setOutputCol("embeddings")
    .setCaseSensitive(True)

val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, bert_loaded))

val data = Seq("I love Spark NLP").toDS.toDF("text")

val result = pipeline.fit(data).transform(data)

import nlu
nlu.load("ar.embed.bert.v2_base").predict("""I love Spark NLP""")

Model Information

References

• https://huggingface.co/aubmindlab/bert-base-arabertv2
• https://github.com/google-research/bert
• https://arxiv.org/abs/2003.00104
• https://github.com/WissamAntoun/pydata_khobar_meetup
• http://alt.qcri.org/farasa/segmenter.html
• /aubmindlab/bert-base-arabertv2/blob/main/(https://github.com/google-research/bert/blob/master/multilingual.md)
• https://github.com/elnagara/HARD-Arabic-Dataset
• https://www.aclweb.org/anthology/D15-1299
• https://staff.aub.edu.lb/~we07/Publications/ArSentD-LEV_Sentiment_Corpus.pdf
• https://github.com/mohamedadaly/LABR
• http://curtis.ml.cmu.edu/w/courses/index.php/ANERcorp
• https://github.com/husseinmozannar/SOQAL
• https://github.com/aub-mind/arabert/blob/master/AraBERT/README.md
• https://arxiv.org/abs/2003.00104v2
• https://archive.org/details/arwiki-20190201
• https://www.semanticscholar.org/paper/1.5-billion-words-Arabic-Corpus-El-Khair/f3eeef4afb81223df96575adadf808fe7fe440b4
• https://www.aclweb.org/anthology/W19-4619
• https://sites.aub.edu.lb/mindlab/
• https://www.yakshof.com/#/
• https://www.behance.net/rahalhabib
• https://www.linkedin.com/in/wissam-antoun-622142b4/
• https://twitter.com/wissam_antoun
• https://github.com/WissamAntoun
• https://www.linkedin.com/in/fadybaly/
• https://twitter.com/fadybaly
• https://github.com/fadybaly