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Until the recent, astonishing success of large language models (LLMs), research on dialogue-based AI systems pursued two main paths: chatbots, or agents capable of open-ended conversation,...
Neural machine translation (NMT) systems typically return a single translation for each input text segment. This means that when the input segment is ambiguous, the model...
The past year saw an acceleration of the recent trend toward research on fairness and privacy in machine learning. The Alexa Trustworthy AI team was part...
Validation curves in a five-task multitask learning setup, where training minimizes the sum of the task losses. The tasks corresponding to the blue, purple, and red...
The annual meeting of the North American chapter of the Association for Computational Linguistics (NAACL) introduced an industry track in 2018, and at this year’s conference,...
Entity linking (EL) is the process of automatically linking entity mentions in text to the corresponding entries in a knowledge base (a database of facts that...
Amazon’s 45-plus papers at the annual meeting of the North American chapter of the Association for Computational Linguistics, which begins next week, sorted by research area....
As natural-language processing (NLP) has become more integral to our daily lives, the ability to accurately evaluate NLP models has grown in importance. Deployed commercial NLP...
With services like Alexa, which use synthesized speech for output, text normalization (TN) is usually the first step in the process of text-to-speech conversion. TN takes raw text...
When Heng Ji, an Amazon Scholar and professor of computer science at the University of Illinois, began attending the annual meeting of the North American Chapter...