This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group.
From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media. Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, David R. Mortensen, Taylor Berg-Kirkpatrick, ...
As of 2014, I am a software consultant for Duke University on the AWARE Gigapixel Camera, living and working in Pittsburgh. Prior to that I worked for GigaPan. In the naughts I worked for Google and ...
--ACM's most prestigious technical award is accompanied by a cash prize and presented to an individual/s selected for contributions of a technical nature made to the computing community. The ...
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors ...
I am fascinated about the idea of building intelligent systems that can help humans (and why not, other intelligent agents) on their daily tasks. This goal is ambitious, challenging, inspiring, and ...
I'm a Professor Emeritus at the Language Technologies Instutute in the School of Computer Science at Carnegie Mellon University. I'm a part of the Carnegie Mellon Speech Group, one of the oldest such ...
[ Contact ] Noted for his contributions to the fields of automatic text translation, information retrieval, and automatic question answering, Nyberg holds a Ph.D. from Carnegie Mellon University (1992 ...
William Cohen is a Professor at Carnegie Mellon University in the Machine Learning Department. He also holds a 20%-time appointment as a Principal Scientist at Google, where he worked full-time ...
This class will have five types of assessments: exercises, check-ins, homeworks, recitation problems, and exams. Exercises: short (1-3 problem) Gradescope online assessments released with each lecture ...
From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers, parallel processing is ubiquitous in modern computing. The goal of this course is to provide a deep understanding ...
Sparse matrices, which are common in scientific applications, are matrices in which most elements are zero. To save space and running time it is critical to only store the nonzero elements. A standard ...