Minimizing gaps in information access on social networks while maximizing the spread
| Benjamin Fish
Lots of important information, including job openings and other kinds of advertising, are often transmitted by word-of-mouth in online settings. For example, social networks like LinkedIn are increasingly used as a way of spreading information about job opportunities, which can…
New Advancements in Spoken Language Processing
| Xuedong Huang
Deep learning algorithms, supported by the availability of powerful Azure computing infrastructure and massive training data, constitutes the most significant driving force in our AI evolution journey. In the past three years, Microsoft reached several historical AI milestones being the…
微软机器阅读理解系统性能升级，刷新CoQA对话式问答挑战赛纪录
近日，由微软亚洲研究院自然语言处理组与微软雷德蒙语音对话组研究员组成的团队，在斯坦福大学发起的对话式问答挑战赛CoQA（Conversational Question Answering Challenge）中荣登榜首，成为目前排行榜上唯一一个模型分数超过人类分数的团队。 CoQA是由关于不同领域文章的一组组对话式问答构成的大型数据集，要求机器对文本进行阅读理解，然后对一系列相互关联的问题作出回答...
In the news | SlashGear
Microsoft’s Conversation Transcription demo wows as new hardware revealed
Microsoft has figured out real-time conversation transcription, revealing a new Azure-integrated conical reference design speaker along with a way to turn every phone and laptop in a meeting into an ad-hoc voice recognition array.
In the news | Microsoft Research Blog
Minimizing gaps in information access on social networks while maximizing the spread
How can we spread information to a large number of people on a budget while minimizing the gap in access between the highly connected people in the network and the poorly connected people?
Beyond spell checkers: Enhancing the editing process with deep learning
| Miltos Allamanis, Marc Brockschmidt, and Alex Gaunt
“Here’s my conference paper—what do you think?” After hours of agonizing over words and illustrations, sharing a draft document is a moment of great pride. All too often, this is shortly followed by embarrassment when your colleague gets back to…
Machine Reading Systems Are Becoming More Conversational
A team of researchers from the Natural Language Processing (NLP) Group at Microsoft Research Asia (MSRA) and the Speech Dialog Research Group at Microsoft Redmond are currently leading in the Conversational Question Answering (CoQA) Challenge organized by Stanford University. In…
In the news | Open Data Science Conference
Machine Learning Estimation of Heterogeneouse Treatement Effects: the Microsoft EconML Library Talk
One of the biggest promises of machine learning is the automation of decision making in a multitude of application domains. A core problem that arises in most data-driven personalized decision scenarios is the estimation of heterogeneous treatment effects: what is…
(Th)Inking with data — tapping into the potential of the digital pen
| Nathalie Henry Riche
Whether at work or at home, people are regularly gathering and interpreting information to build their base of knowledge and gain a deeper understanding of the world around them. In this endeavor, they encounter data in many shapes and forms—lines…