all AI news
The Web Is Your Oyster -- Knowledge-Intensive NLP against a Very Large Web Corpus. (arXiv:2112.09924v2 [cs.CL] UPDATED)
May 26, 2022, 1:12 a.m. | Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oğuz, Edouard Gra
cs.CL updates on arXiv.org arxiv.org
In order to address increasing demands of real-world applications, the
research for knowledge-intensive NLP (KI-NLP) should advance by capturing the
challenges of a truly open-domain environment: web-scale knowledge, lack of
structure, inconsistent quality and noise. To this end, we propose a new setup
for evaluating existing knowledge intensive tasks in which we generalize the
background corpus to a universal web snapshot. We investigate a slate of NLP
tasks which rely on knowledge - either factual or common sense, and ask …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Social Insights & Data Analyst (Freelance)
@ Media.Monks | Jakarta
Cloud Data Engineer
@ Arkatechture | Portland, ME, USA