Microsoft Research Blog

Microsoft Icecaps: An open-source toolkit for conversation modeling 

August 29, 2019 | Vighnesh Leonardo Shiv
How we act, including how we speak, is more often than not determined by the situation we find ourselves in. We wouldn’t necessarily use the same tone and language with friends during a night out bowling as we would with colleagues during an office meeting.…

Recent Posts

  1. Microsoft Icecaps: An open-source toolkit for conversation modeling 

    August 29, 2019 | Vighnesh Leonardo Shiv

    How we act, including how we speak, is more often than not determined by the situation we find ourselves in. We wouldn’t necessarily use the same tone and language with friends during a night out bowling as we would with colleagues during an office meeting.…

  2. Analyzing ambiguity and word embeddings by probing semantic classes 

    July 26, 2019 | Yadollah Yaghoobzadeh

    Word embeddings have had a big impact on many applications in natural language processing (NLP) and information retrieval. It is, therefore, crucial to open the blackbox and understand their meaning representation. We propose probing tasks for analyzing the meaning representation in word embeddings. Our tasks…

  3. Bringing the power of machine reading comprehension to specialized documents

    Bringing the power of machine reading comprehension to specialized documents 

    July 25, 2019 | 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 film won the Academy Award…

  4. Leveraging blockchain to make machine learning models more accessible 

    July 12, 2019 | Justin D. Harris

    Significant advances are being made in artificial intelligence, but accessing and taking advantage of the machine learning systems making these developments possible can be challenging, especially for those with limited resources. These systems tend to be highly centralized, their predictions are often sold on a…

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