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Statistical semantics

Statistical semantics is the study of "how the statistical patterns of human word usage can be used to figure out what people mean, at least to a… 
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Papers overview

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2018
2018
  • Zi Yin
  • 2018
  • Corpus ID: 126124668
Vector embedding is a foundational building block of many deep learning models, especially in natural language processing. In… 
2016
2016
We present INDREX-MM, a main memory database system for interactively executing two interwoven tasks, declarative relation… 
2015
2015
We revisit text-based image retrieval for social media, exploring the opportunities offered by statistical semantics. We assess… 
Review
2015
Review
2015
Information retrieval must move from a pure surface-based point-of-view to a conceptual pointof-view that matches the contents on… 
2014
2014
Statistical semantics methods are fairly controversial in the IR community, mostly because of their instability and difficulty to… 
2013
2013
With billions of triples in the Linked Open Data cloud, which continues to grow exponentially, chall enging tasks start to emerge… 
2011
2011
Document clustering algorithms usually use vector space model (VSM) as their underlying model for document representation. VSM… 
2009
2009
Let me begin by saying how honored I am to receive the Gerard Salton Award from SIGIR. His pioneering work, including the vector… 
Review
2007
Review
2007
Statistical Semantic Representations Walter Kintsch Department of Psychology Institute of Cognitive Science University of… 
1994
1994
The research in this dissertation is centered around the study of phrasal semantics in varying corpora contexts. We embrace a…