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Project Alexandria

新闻与深度文章

Research Focus - week of January 8, 2024
微软研究院博客

| Zinan Lin, Jinyu Li, Bhaskar Mitra, Siân Lindley, Liang Wang, Nan Yang, 和 Furu Wei

Mixture-of-linear-experts for long-term time series forecasting; Weakly-supervised streaming multilingual speech model with truly zero-shot capability; KBFormer: Diffusion model for structured entity completion; Identifying risks of AI-mediated data access:

Microsoft Research Focus 13 edition, week of April 10, 2023
微软研究院博客

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. To improve the utilization of computing resources, cloud providers often offer underutilized capacity…

Figure 2: A flowchart depicting unstructured text being processed though a query engine, a probabilistic parser, and probabilistic clustering to produce a unified knowledge base

新闻报道 | VentureBeat

In 2014, Microsoft launched Project Alexandria, a research effort within its Cambridge research division dedicated to discovering entities — topics of information — and their associated properties. Building on the research lab’s work in knowledge mining research using probabilistic programming,…

Figure 2: A flowchart depicting unstructured text being processed though a query engine, a probabilistic parser, and probabilistic clustering to produce a unified knowledge base
微软研究院博客

| Sanil Rajput , John Winn, Naomi Moneypenny, Yordan Zaykov, 和 CJ Tan

Project Alexandria is a research project within Microsoft Research Cambridge dedicated to discovering entities, or topics of information, and their associated properties from unstructured documents. This research lab has studied knowledge mining research for over a decade, using the probabilistic…