Machine Reading Comprehension
成立时间：July 9, 2019
新闻与深度文章
The ability to read and understand unstructured text, and then answer questions about it, is a common skill among literate humans. But for machines? Not so much. At least not yet! And not if Dr. T.J. Hazen, Senior Principal Research…
| T. J. Hazen
With the advent of AI assistants, initially developed for structured databases and manually curated knowledge graphs, answers to the types of basic fact-based questions people encounter during the course of regular conversation became keystrokes or a verbal cue away. What…
新闻报道 | Microsoft Research Blog
Bringing the power of machine reading comprehension to specialized documents
Microsoft researchers are developing a transfer learning-based approach for adapting general question answer models to documents in specialized domains. Their new demonstration system can answer questions against Welcome to Canada, the Canadian government's guidebook for new immigrants.
新闻报道 | Microsoft Research Podcast
Building Literate Machines with Dr. Adam Trischler
Dr. Trischler talks about his dream of making literate machines, efforts to design meta-learning algorithms that can actually learn to learn, and how, through a process of one-to-many mapping in machine learning, our computers not may not only be answering…
新闻报道 | The AI Blog
Microsoft creates AI that can read a document and answer questions about it as well as a person
With machine reading comprehension, researchers say computers also would be able to quickly parse through information found in books and documents and provide people with the information they need most in an easily understandable way.