Multitask learning
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Improving question-answering models that use data from tables
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Question-answering (QA) models sometimes need to retrieve information from tables, which use an entirely different set of semantic cues than free-form text. ...

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Amazon releases 51-language dataset for language understanding
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Imagine that all people around the world could use voice AI systems such as Alexa in their native tongues. The MASSIVE ...

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Knowledge distillation for better convergence in multitask learning
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Validation curves in a five-task multitask learning setup, where training minimizes the sum of the task losses. The tasks ...

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Filtering out “forbidden” documents during information retrieval
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Content owners make a lot of effort to eliminate bad content that may adversely affect their customers. Bad content can take many forms, such as fake news, ...

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Massively Multilingual NLU 2022: Call for papers and shared-task entries
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Let’s scale natural-language-understanding technology to every language on Earth!Massively Multilingual NLU 2022 (MMNLU-22) is an upcoming workshop ...

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Amazon adds Catalan to MASSIVE dataset
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Earlier this year, we released MASSIVE, a million-record natural-language-understanding (NLU) dataset composed of human-translated utterances spanning 51 ...

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