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Statistical semantics Meaning
Statistical semantics Meaning
Published: 2015/05/02
Channel: ADictionary
What does statistical semantics mean?
What does statistical semantics mean?
Published: 2015/01/07
Channel: What Does That Mean?
What is COMPUTATIONAL SEMANTICS? What does COMPUTATIONAL SEMANTICS mean?
What is COMPUTATIONAL SEMANTICS? What does COMPUTATIONAL SEMANTICS mean?
Published: 2017/11/06
Channel: The Audiopedia
Noam Chomsky 2014  Statistical Natural Language Processing
Noam Chomsky 2014 Statistical Natural Language Processing
Published: 2015/07/13
Channel: Ricardo Ruiz
Video Demo - semSMT: Source Code Migration with Semantic Statistical Machine Translation
Video Demo - semSMT: Source Code Migration with Semantic Statistical Machine Translation
Published: 2013/11/22
Channel: Tuan Anh Nguyen
NIPS 2011 Learning Semantics Workshop: Learning Dependency-Based Compositional Semantics
NIPS 2011 Learning Semantics Workshop: Learning Dependency-Based Compositional Semantics
Published: 2012/02/03
Channel: GoogleTechTalks
Deep Natural Language Semantics - Raymond Mooney
Deep Natural Language Semantics - Raymond Mooney
Published: 2014/11/26
Channel: Allen Institute for Artificial Intelligence (AI2)
Semantic Interaction for Sense-making: Alex Endert at TEDxVirginiaTech
Semantic Interaction for Sense-making: Alex Endert at TEDxVirginiaTech
Published: 2012/12/05
Channel: TEDx Talks
2 - 1 - Semantics & Factorization - Probabilistic Graphical Models - Professor Daphne Koller
2 - 1 - Semantics & Factorization - Probabilistic Graphical Models - Professor Daphne Koller
Published: 2012/03/27
Channel: OpenCourseOnline
Semantics | Natural Language Processing | University of Michigan
Semantics | Natural Language Processing | University of Michigan
Published: 2016/04/06
Channel: Video Tutorials - All in One
Brains, Meaning and Corpus Statistics
Brains, Meaning and Corpus Statistics
Published: 2009/03/30
Channel: GoogleTechTalks
What Is Semantic Processing
What Is Semantic Processing
Published: 2017/12/17
Channel: Green Help
Enterprise Semantics
Enterprise Semantics
Published: 2012/11/29
Channel: PoolParty Semantic Suite
Knowledge Representation | semantic networks | Frames | artificial intelligence | Hindi | #19
Knowledge Representation | semantic networks | Frames | artificial intelligence | Hindi | #19
Published: 2017/04/15
Channel: Well Academy
CS224u - Learning compositional semantics: approaches
CS224u - Learning compositional semantics: approaches
Published: 2015/03/27
Channel: Chris Potts
Tutorial - Natural Language Processing for Music Information Retrieval. Lexical Semantics
Tutorial - Natural Language Processing for Music Information Retrieval. Lexical Semantics
Published: 2017/03/02
Channel: Universitat Pompeu Fabra - Barcelona
NIPS 2011 Learning Semantics Workshop: Towards More Human-like Machine Learning of Word Meanings
NIPS 2011 Learning Semantics Workshop: Towards More Human-like Machine Learning of Word Meanings
Published: 2012/02/04
Channel: GoogleTechTalks
Grad Course in AI (#13): Bayesian Networks Representation and Semantics
Grad Course in AI (#13): Bayesian Networks Representation and Semantics
Published: 2012/11/20
Channel: Pröf Mausam
Siva Reddy: Freebase Semantic Parsing With & Without QA Pairs
Siva Reddy: Freebase Semantic Parsing With & Without QA Pairs
Published: 2016/09/07
Channel: Allen Institute for Artificial Intelligence (AI2)
semantic text classification thatneedle.com
semantic text classification thatneedle.com
Published: 2016/01/11
Channel: thatneedle semantic search
NIPS 2011 Learning Semantics Workshop: Learning Semantics of Movement
NIPS 2011 Learning Semantics Workshop: Learning Semantics of Movement
Published: 2012/02/04
Channel: GoogleTechTalks
A Statistical New World
A Statistical New World
Published: 2011/07/09
Channel: Diana Lam
Semantic fingerprinting: Democratising natural language processing
Semantic fingerprinting: Democratising natural language processing
Published: 2015/08/27
Channel: TNG Technology Consulting GmbH
Tutorial - Natural Language Processing.  Semantic Enrichment of Musical Texts
Tutorial - Natural Language Processing. Semantic Enrichment of Musical Texts
Published: 2017/03/02
Channel: Universitat Pompeu Fabra - Barcelona
Statistical scientific programming OO patterns: accumulators - Olivia Quinet - Lightning Talks
Statistical scientific programming OO patterns: accumulators - Olivia Quinet - Lightning Talks
Published: 2018/01/04
Channel: Meeting Cpp
A Theoretical Approach to Semantic Coding and Hashing
A Theoretical Approach to Semantic Coding and Hashing
Published: 2016/11/16
Channel: Simons Institute
Uncovering Semantic Similarities between Query Terms
Uncovering Semantic Similarities between Query Terms
Published: 2016/09/06
Channel: Microsoft Research
Natural Language Processing (NLP) Tutorial - An introduction to NLP and Semantic Fingerprints
Natural Language Processing (NLP) Tutorial - An introduction to NLP and Semantic Fingerprints
Published: 2017/08/10
Channel: Fullstack Academy
What Is Semantic Processing?
What Is Semantic Processing?
Published: 2017/11/30
Channel: Xerioc Xuj
Perceptual Image/Video Segmentation and Semantic...
Perceptual Image/Video Segmentation and Semantic...
Published: 2007/10/09
Channel: GoogleTechTalks
Dr. Adam Lopez: A Formal Model of Semantics-Preserving Translation
Dr. Adam Lopez: A Formal Model of Semantics-Preserving Translation
Published: 2014/10/27
Channel: Ting-Hao Huang
The Rust Programming Language
The Rust Programming Language
Published: 2015/07/28
Channel: GoogleTechTalks
Prof. Ram Frost - Statistical Learning and Second Language Acquisition
Prof. Ram Frost - Statistical Learning and Second Language Acquisition
Published: 2016/06/19
Channel: Department of Psychology HUJI
Statistical Parsing - Natural Language Processing | University of Michigan
Statistical Parsing - Natural Language Processing | University of Michigan
Published: 2016/03/27
Channel: Video Tutorials - All in One
Perceptual Image/Video Segmentation and Semantic Classification
Perceptual Image/Video Segmentation and Semantic Classification
Published: 2012/08/22
Channel: GoogleTalksArchive
Semantic Text Processing: Example Application
Semantic Text Processing: Example Application
Published: 2015/01/16
Channel: cognitumeu
TSD conference 2006 - Presentation of James Pustejovsky
TSD conference 2006 - Presentation of James Pustejovsky
Published: 2012/09/17
Channel: NLPassist
A Navigation Semantics for Visual Queries
A Navigation Semantics for Visual Queries
Published: 2014/05/31
Channel: Mark Derthick
Eradication, elimination and control: public health and policy implications – semantics or reality?
Eradication, elimination and control: public health and policy implications – semantics or reality?
Published: 2015/10/02
Channel: rstmh
The 31st UW/MS Symposium in Computational Linguistics
The 31st UW/MS Symposium in Computational Linguistics
Published: 2016/08/08
Channel: Microsoft Research
Probe Informatics - Semantic Machine Learning & Predictive Analytics
Probe Informatics - Semantic Machine Learning & Predictive Analytics
Published: 2014/01/29
Channel: Probe Informatics
Trans-Rational v. Statistics and the Scientific Method
Trans-Rational v. Statistics and the Scientific Method
Published: 2016/12/22
Channel: Carl Jung Depth Psychology Reading Group
Understand Short Texts by Harvesting and Analyzing Semantic Knowledge
Understand Short Texts by Harvesting and Analyzing Semantic Knowledge
Published: 2017/09/22
Channel: 1 Crore Projects
Chester Curme: Quantifying the semantics of search behavior before stock market moves
Chester Curme: Quantifying the semantics of search behavior before stock market moves
Published: 2015/07/03
Channel: Data Science Lab
CVPR14: Video Classification using Semantic Concept Co-occurrences
CVPR14: Video Classification using Semantic Concept Co-occurrences
Published: 2014/06/09
Channel: Amir R. Zamir
A course in Cognitive Linguistics: Polysemy
A course in Cognitive Linguistics: Polysemy
Published: 2015/03/11
Channel: Martin Hilpert
Transactional Memory: From Semantics to Silicon
Transactional Memory: From Semantics to Silicon
Published: 2012/08/22
Channel: GoogleTalksArchive
NIPS 2011 Learning Semantics Workshop: From Machine Learning to Machine Reasoning
NIPS 2011 Learning Semantics Workshop: From Machine Learning to Machine Reasoning
Published: 2012/02/04
Channel: GoogleTechTalks
Lab Tutorial: Towards Open-domain Spoken Dialogue Systems
Lab Tutorial: Towards Open-domain Spoken Dialogue Systems
Published: 2016/06/22
Channel: Microsoft Research
Document Classification using Latent semantic analysis (LSA) in python | Sudharsan
Document Classification using Latent semantic analysis (LSA) in python | Sudharsan
Published: 2017/09/22
Channel: Sudharsan Ravichandiran
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WIKIPEDIA ARTICLE

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In linguistics, statistical semantics applies the methods of statistics to the problem of determining the meaning of words or phrases, ideally through unsupervised learning, to a degree of precision at least sufficient for the purpose of information retrieval.

History[edit]

The term statistical semantics was first used by Warren Weaver in his well-known paper on machine translation.[1] He argued that word sense disambiguation for machine translation should be based on the co-occurrence frequency of the context words near a given target word. The underlying assumption that "a word is characterized by the company it keeps" was advocated by J.R. Firth.[2] This assumption is known in linguistics as the distributional hypothesis.[3] Emile Delavenay defined statistical semantics as the "statistical study of meanings of words and their frequency and order of recurrence".[4] "Furnas et al. 1983" is frequently cited as a foundational contribution to statistical semantics.[5] An early success in the field was latent semantic analysis.

Applications[edit]

Research in statistical semantics has resulted in a wide variety of algorithms that use the distributional hypothesis to discover many aspects of semantics, by applying statistical techniques to large corpora:

Related fields[edit]

Statistical semantics focuses on the meanings of common words and the relations between common words, unlike text mining, which tends to focus on whole documents, document collections, or named entities (names of people, places, and organizations). Statistical semantics is a subfield of computational semantics, which is in turn a subfield of computational linguistics and natural language processing.

Many of the applications of statistical semantics (listed above) can also be addressed by lexicon-based algorithms, instead of the corpus-based algorithms of statistical semantics. One advantage of corpus-based algorithms is that they are typically not as labour-intensive as lexicon-based algorithms. Another advantage is that they are usually easier to adapt to new languages than lexicon-based algorithms. However, the best performance on an application is often achieved by combining the two approaches.[21]

See also[edit]

References[edit]

Sources[edit]

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