Understanding large-scale institutional change
نویسندگان
چکیده
منابع مشابه
Large-Scale Query Understanding
In this paper, we propose a large-scale multi-dimensional co-clustering framework for understanding queries in a search engine. To achieve this goal, the system simultaneously clusters queries along with attributes of results that were shown (and clicked) on these queries. In our application, we co-cluster queries along with advertisements (commercial results), advertisement keywords, and query...
متن کاملLarge-scale learning for media understanding
1 Editorial The remarkable growth in computational power over the last decade has enabled important advances in machine learning, allowing us to achieve impressive results across all areas of image and video processing. Numerical methods that were once thought to be intractable are now commonly deployed to solve problems as diverse as 3D modeling from 2D data (photo tourism [1]), object recogni...
متن کاملUnderstanding Cognition Through Large-Scale Cortical Networks
An emerging body of evidence from a number of fields is beginning to reveal general neural principles underlying cognition. The characteristic adaptability of cognitive function is seen to derive from large-scale networks in the cerebral cortex that are able to repeatedly change the state of coordination among their constituent areas on a subsecond time scale. Experimental and theoretical studi...
متن کاملUnderstanding Stories with Large-Scale Common Sense
Story understanding systems need to be able to perform commonsense reasoning, specifically regarding characters’ goals and their associated actions. Some efforts have been made to form large-scale commonsense knowledge bases, but integrating that knowledge into story understanding systems remains a challenge. We have implemented the Aspire system, an application of large-scale commonsense knowl...
متن کاملLarge-Scale Paraphrasing for Natural Language Understanding
We examine the application of data-driven paraphrasing to natural language understanding. We leverage bilingual parallel corpora to extract a large collection of syntactic paraphrase pairs, and introduce an adaptation scheme that allows us to tackle a variety of text transformation tasks via paraphrasing. We evaluate our system on the sentence compression task. Further, we use distributional si...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scandinavian Journal of History
سال: 2015
ISSN: 0346-8755,1502-7716
DOI: 10.1080/03468755.2015.1016551