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NLP

Why the Natural Language is so Important?

Why the Natural Language is so Important?

Although sometimes overrated to the detriment of non-verbal one, language is an essential part of communication. It’s pretty apparent for us, yet we don’t even consider it worthy of explaining.

edrone
edrone
Marketing theory
Dispatches from the ULMFiT trenches

Dispatches from the ULMFiT trenches

Don’t just look at the benchmark figures when you evaluate your language model. A subjective judgement can also lead to interesting insights.

Hubert Karbowy
Hubert Karbowy
AVA
Why ULMFiT can still matter: training and inference times

Why ULMFiT can still matter: training and inference times

In real-life applications computational efficiency of ML models is as important as evaluation metrics

Hubert Karbowy
Hubert Karbowy
AVA
Resurrecting monolingual recurrent language models with ULMFiT for Tensorflow

Resurrecting monolingual recurrent language models with ULMFiT for Tensorflow

Recurrent language models are still alive and kicking. We release pretrained Polish and English ULMFiT models for Tensorflow Hub.

Hubert Karbowy
Hubert Karbowy
AVA
Concordância entre Anotadores: A Linguagem em Disputa

Concordância entre Anotadores: A Linguagem em Disputa

Quando o assunto é Processamento de Linguagem Natural e o desenvolvimento de assistentes por voz, mais cedo ou mais tarde você encontrará o termo "concordância entre anotadores". Este acordo é fundamental para atingirmos a ilusão de que as máquinas estão, de fato, entendendo palavras.

Marcin Lewek
Marcin Lewek
NLP
Word2Vec: Função de Perda

Word2Vec: Função de Perda

A diferença entre os vetores probabilísticos e os vetores-alvo é crucial para que a rede neural possa aprender. Como medir esta diferença? Como funciona o processo de aprendizagem? E como sabemos quando o nosso modelo está "inteligente" o bastante?

Marcin Lewek
Marcin Lewek
Artificial intelligence
Arguing with Language: Inter Annotator Agreement

Arguing with Language: Inter Annotator Agreement

When it comes to processing natural language and developing smart voice assistants for eCommerce, sooner or later, you will encounter the term Inter-Annotator Agreement. Such an agreement is critical for the illusion of understanding words by a machine.

Marcin Lewek
Marcin Lewek
NLP
Word2vec: Modelo Skip-Gram

Word2vec: Modelo Skip-Gram

Podemos fazer os computadores entenderem palavras ao transformá-las em números – ou melhor, vetores. Mas como fazer os computadores entenderem relações entre as palavras? Uma das formas é o Modelo Skip-Gram.

Marcin Lewek
Marcin Lewek
Artificial intelligence