Extreme multilabel classification
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Taming Transformers for text classification with millions of classes
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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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Amazon open-sources library for prediction over large output spaces
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In the Internet age, many computational tasks involve finding a handful of solutions in an enormous space of candidates. Question-answering systems, for ...

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Applying PECOS to product retrieval and text autocompletion
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In April, our research team at Amazon open-sourced our PECOS framework for extreme multilabel ranking (XMR), which is the general problem of classifying an ...

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Amazon pushes the boundaries of extreme multilabel classification
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In the past few years, we’ve published a number of papers about extreme multilabel classification (XMC), or classifying input data when the number of ...

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Using generative AI to improve extreme multilabel classification
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For years, Amazon researchers have been exploring the topic of extreme multilabel classification (XMC), or classifying inputs when the space of possible ...

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