artificial intelligence

Top Annotation Guidelines for Human Labelers

The clarity of annotation guidelines is a key building block to obtain quality data used to train machine learning models. Proper training and annotation guidelines for human labelers are key factors directly determining how well those models will...

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Ethics in AI: Challenges and Responsibilities in the Digital Era

Artificial Intelligence (AI) is a rapidly growing field whose goal is to revolutionize many aspects of our lives by making them easier and more automated. However, as AI systems become more powerful, there is a growing need to ensure that they are...

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A Temporary Pause in AI Development: Is Artificial Intelligence Arousing Fear Among Experts?

On March 29, 2023, in an open letter to political and business leaders around the world, leading figures in the tech industry, including Elon Musk (co-founder of tech giant OpenAI), called for a temporary pause in the hurtling advances of Artificial...

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The Importance of Intent Recognition in NLP

Technologies are constantly evolving and people are relying on them more and more for everyday tasks, which means that the volume and availability of text data keeps on growing exponentially. With the rise of online services, it has been difficult...

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Interview With María Grandury on Artificial Intelligence and NLP

At the young age of 25, María Grandury has already made a name for herself in the field of Artificial Intelligence in Spain. Just two years ago, in the middle of the pandemic, she was finishing her double degree in mathematics and physics. During...

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What Is Statistical Machine Translation?

Statistical machine translation, known asSMT or StatMT, is an approach to machine translation which yields the most probable output (translation) of each element that makes up a sentence. It is based on the use of statistical models that analyze...

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Zero-Shot Learning in NLP

Introduction

In the supervised learning paradigm, labeled data sets are an essential resource when it comes to training artificial intelligence to find patterns in the labeled data.

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AI Translation: The Future of Language Learning

Machine translation (MT) is not new. In fact, it has been around for more than half a century. However, significant advances have only recently simulated human reasoning. This is due to the incorporation of Artificial Intelligence and its neural...

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7 fields in which organizations benefit from Natural Language Processing software

Language comprises a huge body of words and sentences packed with complexities and irregularities that humans take years and years to learn. And while structured data has long been leveraged on, unstructured data is way more ambiguous and difficult...

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The Revolutionary Role of AI in Tourism

More and more commercial and industrial sectors are stepping up their use of artificial intelligence (AI) to increase their operational capabilities, optimize processes and offer a better product/service to the customer. This is what AI is...

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