​Facebook has released #PyText — new framework on top of #PyTorch.

This framework is build to make it easier for developers to build #NLP models.

Link: https://code.fb.com/ai-research/pytext-open-source-nlp-framework/

🔗 Open-sourcing PyText for faster NLP development
We are open-sourcing PyText, a framework for natural language processing. PyText is built on PyTorch and it makes it faster and easier to build deep learning models for NLP.

​PyText

- PyText https://github.com/facebookresearch/pytext from Facebook:
- TLDR - FastText meets PyTorch;
- Very similar to AllenNLP in nature;
- Will be useful if you can afford to write modules for their framework to solve 100 identical tasks (i.e. like Facebook with 200 languages);
- In itself - seems to be too high maintenance to use;

I will not use use it.

#nlp
#deep_learning

🔗 facebookresearch/pytext
A natural language modeling framework based on PyTorch - facebookresearch/pytext

​Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

New SOTA on cross-lingual transfer (XNLI, MLDoc) and bitext mining (BUCC) using a shared encoder for 93 languages.

Link: https://arxiv.org/abs/1812.10464

#SOTA #NLP

🔗 Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond