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Microsoft Research Blog
Analyzing ambiguity and word embeddings by probing semantic classes
| 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…
Bringing the power of machine reading comprehension to specialized documents
| 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…
The KnowRef Coreference Corpus: a resource for training and evaluating common sense in AI
| Ali Emami, Paul Trichelair, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, et Hannes Schulz
AI has made major strides in the last decade, from beating the world champion of Go, to learning how to program, to telling fantastical short stories. However, a basic human trait continues to elude machines: common sense. Common sense…