NAACL
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Should Alexa read “2/3” as “two-thirds” or “February Third”?: The science of text normalization
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Text normalization is an important process in conversational AI. If an Alexa customer says, “book me a table at 5:00 p.m.”, the automatic speech recognizer ...

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Active learning: Algorithmically selecting training data to improve Alexa’s natural-language understanding
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Alexa’s ability to respond to customer requests is largely the result of machine learning models trained on annotated data. The models are fed sample texts ...

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Amazon.com tests customer service chatbots
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One of the ways Amazon continues to work towards its mission of being the “Earth’s most customer-centric company” is through a commitment to world-class ...

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Enabling LLMs to make the right API calls in the right order
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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 ...

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Predicting answers to product questions using similar products
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Community product question answering (PQA) is a popular and important feature on e-commerce websites. Customers ask, for example, “Will these jeans shrink ...

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Amazon at NAACL 2021: The return of symbolic semantics
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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 ...

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Text normalization with only 3% as much training data
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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 ...

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Automatically evaluating question-answering models
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As natural-language processing (NLP) has become more integral to our daily lives, the ability to accurately evaluate NLP models has grown in importance. ...

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A quick guide to Amazon’s 45-plus NAACL papers
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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 ...

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Improving “entity linking” between texts and knowledge bases
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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 ...

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