Traditionally, Alexa has interpreted customer requests according to their intents and slots. If you say, “Alexa, play ‘What’s Going On?’ by Marvin Gaye,” ...
Using machine learning to train information retrieval models — such as Internet search engines — is difficult because it requires so much manually annotated ...
The International Conference on Acoustics, Speech, and Signal Processing (ICASSP), which starts today, is now in its 45th year, and according to Google ...
The first step in most natural-language-processing applications is tokenization, or breaking input strings into semantically relevant units. In many ...
Korean is a major world language, spoken by some 80 million people. Although it has a long history, dating back to what is believed to be its start in ...
The annual meeting of the Association for Computational Linguistics (ACL) is, according to Google Scholar’s rankings, the preeminent conference on ...
The Transformer is a neural-network architecture that has proven extremely useful for natural-language-processing tasks because it can recognize long-range ...
Human beings are social creatures, and conversations are what connect us—they enable us to share everything from the prosaic to the profound with the people ...
Machine learning is a field in computational science that analyzes patterns and structures in data to help with learning, reasoning, and decision-making—all ...
Text classification is the most basic task in the field of natural-language understanding. Customer requests to Amazon Alexa, for example, are classified by ...
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