Training AI Faster with a Human in the Loop

[fa icon="calendar'] Nov 29, 2018 5:01:48 PM / by Ana Moreno posted in NLG, Bitext, Machine Learning

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The most significant aspect of a virtual agent is how fast it is able to learn. With a human in the conversational loop, training AI goes much faster: your bot learns and changes, keeping knowledge up to date.

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Google Home in Spanish: An Incomplete Understanding

[fa icon="calendar'] Aug 21, 2018 4:41:07 PM / by Ana Moreno posted in Machine Learning, Natural Language, Bitext, Artificial Intelligence

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Google’s smart speaker, Google Home, has recently learned a new language. Launched at the end of June this year, Google Home is now speaking Spanish. As real as life itself, Spanish speakers can now listen to all summer hits without lifting a finger, or even look for restaurants nearby by indirectly saying, ‘Ok Google, tengo hambre’. This language update may serve to gain ground in the market of artificial intelligence-powered devices since Spanish is the second most widely spoken language in the world. Notwithstanding, Google Home's Spanish skills leave much to be desired. Bitext team has been testing it and, as a matter of fact, there is still room for improvement.

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Can lemmatization and POS tagging improve your Deep Learning solution?

[fa icon="calendar'] Mar 28, 2018 4:39:00 PM / by Benjamín Ramírez posted in Deep Learning, Machine Learning, NLP, POS tagging

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Although Machine Learning algorithms have been around since mid-20th century, this technology along with Deep Learning is the newest popular boy in town, with good reason. Due to recent advances in computing power and data availability, they're being more and more used to perform astonishing tasks.

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Improve Machine Learning Results with Deep Linguistic Analysis

[fa icon="calendar'] Jun 2, 2017 1:19:00 PM / by Bitext posted in Machine Learning, Deep Linguistic Analysis

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Your data holds secrets. Uncovering them is absolutely essential to business success. But mining volumes of text-based data for insights poses a big resource challenge for companies, which is why text analytics tools have become so business critical. There are two different approaches in the market machine learning and deep linguistic analysis, as we mention in different articles. In this post, we will dig more in depth in both of them.

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Why Linguistics for Text Analytics?

[fa icon="calendar'] May 12, 2017 1:00:00 PM / by Bitext posted in Text Analytics, Machine Learning

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In previous posts, we have outlined the crucial role of Machine Learning for Analytics (in Machine Learning & Deep Linguistic Analysis in Text Analytics), and the implications of using Machine Learning for analyzing and structuring text (in What are the limitations of Machine Learning for Text Analysis?). 

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