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NLP Enthusiast? Try #NaturalQuestions(NQ) corpus by #Google has released a new question answering dataset called the #NQ. Its a new, large-scale corpus for training and evaluating open-domain question answering systems and the first to replicate the end-to-end process in which people find answers to questions
NQ is the first dataset to use naturally occurring queries and focuses on finding answers by reading an entire page, rather than extracting answers from a short paragraph. Google also claims that the quality of the annotations in the NQ corpus has been measured at 90% accuracy.
NQ is large, consisting of 300,000 naturally occurring questions, along with human annotated answers from #Wikipedia pages.
Interestingly, Google has also announced a challenge based on this data to help advance natural language understanding in computers.
Paper linked to the research: https://lnkd.in/fNg3ZtT
Challenge website and dataset: https://lnkd.in/frNYrUE
❇️ @AI_Python_EN
NQ is the first dataset to use naturally occurring queries and focuses on finding answers by reading an entire page, rather than extracting answers from a short paragraph. Google also claims that the quality of the annotations in the NQ corpus has been measured at 90% accuracy.
NQ is large, consisting of 300,000 naturally occurring questions, along with human annotated answers from #Wikipedia pages.
Interestingly, Google has also announced a challenge based on this data to help advance natural language understanding in computers.
Paper linked to the research: https://lnkd.in/fNg3ZtT
Challenge website and dataset: https://lnkd.in/frNYrUE
❇️ @AI_Python_EN