Dataset development
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Amazon paper exposes biases in unreliable-news datasets
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At the 2021 Conference of the European Association for Computational Linguistics (EACL), we received honorable mention in the best-long-paper category for ...

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Amazon announces new conversational-modeling challenge
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Amazon has announced a new research challenge titled Knowledge-Grounded Task-Oriented Dialogue Modeling on Spoken Conversations, which aims to improve the ...

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Amazon releases new dataset for commonsense dialogue
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Recently, AI models that can engage in open-domain dialogue have made a lot of progress — the top finishers in the Alexa Prize challenge, for instance.But ...

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Automated fact-checking using evidence from tables and text
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On November 10, at the fourth Fact Extraction and Verification workshop (FEVER), we will be announcing the winners of the third fact verification challenge ...

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New dataset for training household robots to follow human commands
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Through smart-home devices and systems, customers can already instruct Alexa to do things like open garage doors, turn lights on and off, or start the ...

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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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Amazon releases dataset for complex, multilingual question answering
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Question answering (QA) is the machine learning task of learning to predict answers to questions. For example, given the question, “Where was Natalie ...

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The breadth of Amazon’s computer vision research is on display at ECCV
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Amazon's contributions to this year's European Conference on Computer Vision (ECCV) reflect the diversity of the company's research interests. Below is a ...

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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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Dataset helps evaluate gender bias in machine translation models
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In recent years, machine translation systems have become much more accurate and fluent. As their use expands, it has become increasingly important to ensure ...

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