At this year's Conference on Empirical Methods in Natural Language Processing (EMNLP), Amazon researchers are cohosting what they hope will be the first in a series of annual workshops that will both catalyze and publicize research on automatic fact verification.
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Amazon papers at Interspeech 2018 examine ways that interaction histories can improve customers' Alexa experiences, from "collaborative filtering" to infer customers' tastes to methods that use the immediate "context" of a customer's requests to increase the accuracy of speech understanding systems.
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3 questions with Björn Hoffmeister, the senior manager for machine learning in the Alexa Automatic Speech Recognition group, about this year's Interspeech conference and research trends in the speech technology field.
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Two months after Amazon released a dataset containing assertions of fact and Wikipedia data that either substantiate or refute them, preliminary results of a competition to use the dataset to train fact verification systems indicate a 134% improvement over baseline.
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The deadline for the 2018 Amazon Research Awards, a grant program that provides up to $80,000 in funding and $20,000 in Amazon Web Services Promotional Credits to academic researchers investigating topics related to machine learning, is September 15.
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