Share
VIDEOS 1 TO 50
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
Deep Natural Language Semantics - Raymond Mooney
Deep Natural Language Semantics - Raymond Mooney
Published: 2014/11/26
Channel: Allen Institute for Artificial Intelligence (AI2)
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
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
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
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
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
Semantic Awareness for Automatic Image Interpretation
Semantic Awareness for Automatic Image Interpretation
Published: 2016/07/28
Channel: Microsoft Research
Probe Informatics - Semantic Machine Learning & Predictive Analytics
Probe Informatics - Semantic Machine Learning & Predictive Analytics
Published: 2014/01/29
Channel: Probe Informatics
Enterprise Semantics
Enterprise Semantics
Published: 2012/11/29
Channel: PoolParty Semantic Suite
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
Feedforward Semantic Segmentation with Zoom-out Features
Feedforward Semantic Segmentation with Zoom-out Features
Published: 2016/06/27
Channel: Microsoft Research
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
文献紹介:Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding...
文献紹介:Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding...
Published: 2015/06/03
Channel: 長岡技術科学大学 自然言語処理研究室
Uncovering Semantic Similarities between Query Terms
Uncovering Semantic Similarities between Query Terms
Published: 2016/09/06
Channel: Microsoft Research
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
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
Mike Lewis (UW): Wide-Coverage Semantic Parsing
Mike Lewis (UW): Wide-Coverage Semantic Parsing
Published: 2016/04/26
Channel: UW AI Research
Perceptual Image/Video Segmentation and Semantic...
Perceptual Image/Video Segmentation and Semantic...
Published: 2007/10/09
Channel: GoogleTechTalks
Markov Logic for Statistical Relational Learning
Markov Logic for Statistical Relational Learning
Published: 2016/08/12
Channel: Microsoft Research
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
Central Statistical Agency Documentary
Central Statistical Agency Documentary
Published: 2014/08/07
Channel: Didimos Ayele
TSD conference 2006 - Presentation of James Pustejovsky
TSD conference 2006 - Presentation of James Pustejovsky
Published: 2012/09/17
Channel: NLPassist
CS224u - Learning compositional semantics: approaches
CS224u - Learning compositional semantics: approaches
Published: 2015/03/27
Channel: Chris Potts
A Theoretical Approach to Semantic Coding and Hashing
A Theoretical Approach to Semantic Coding and Hashing
Published: 2016/11/16
Channel: Simons Institute
Coding Statistical Functions in C++ (part 1 Mean)
Coding Statistical Functions in C++ (part 1 Mean)
Published: 2015/03/28
Channel: Guadalupe Bernal
semantic text classification thatneedle.com
semantic text classification thatneedle.com
Published: 2016/01/11
Channel: thatneedle semantic search
Semantic Text Processing: Example Application
Semantic Text Processing: Example Application
Published: 2015/01/16
Channel: cognitumeu
Perceptual Image/Video Segmentation and Semantic Classification
Perceptual Image/Video Segmentation and Semantic Classification
Published: 2012/08/22
Channel: GoogleTalksArchive
CVPR14: Video Classification using Semantic Concept Co-occurrences
CVPR14: Video Classification using Semantic Concept Co-occurrences
Published: 2014/06/09
Channel: Amir R. Zamir
TSD conference 2006 - Presentation of James Pustejovsky
TSD conference 2006 - Presentation of James Pustejovsky
Published: 2011/05/22
Channel: NLPassist
The 31st UW/MS Symposium in Computational Linguistics
The 31st UW/MS Symposium in Computational Linguistics
Published: 2016/08/08
Channel: Microsoft Research
Transactional Memory: From Semantics to Silicon
Transactional Memory: From Semantics to Silicon
Published: 2012/08/22
Channel: GoogleTalksArchive
Semantic Segmentation of Textured Meshes
Semantic Segmentation of Textured Meshes
Published: 2015/11/25
Channel: Mohammad Rouhani
A course in Cognitive Linguistics: Polysemy
A course in Cognitive Linguistics: Polysemy
Published: 2015/03/11
Channel: Martin Hilpert
Semantic Methods R Stanley
Semantic Methods R Stanley
Published: 2015/11/10
Channel: tranSMART Foundation
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
NIPS 2011 Learning Semantics Workshop: Learning Semantics of Movement
NIPS 2011 Learning Semantics Workshop: Learning Semantics of Movement
Published: 2012/02/04
Channel: GoogleTechTalks
Efficient Algorithms for Semantic Scene Parsing
Efficient Algorithms for Semantic Scene Parsing
Published: 2013/03/21
Channel: KITinformatik
CppCon 2015: Bryce Adelstein-Lelbach “Benchmarking C++ Code"
CppCon 2015: Bryce Adelstein-Lelbach “Benchmarking C++ Code"
Published: 2015/10/18
Channel: CppCon
Brains, Meaning and Corpus Statistics
Brains, Meaning and Corpus Statistics
Published: 2009/03/30
Channel: GoogleTechTalks
NIPS 2012 Tutorial (Getoor) Representation, Inference and Learning in Structured Statistical Models
NIPS 2012 Tutorial (Getoor) Representation, Inference and Learning in Structured Statistical Models
Published: 2013/02/20
Channel: NIPS
IEEE NS2 2015-2016 k-Nearest Neighbor Classification over Semantically Secure Encrypted
IEEE NS2 2015-2016 k-Nearest Neighbor Classification over Semantically Secure Encrypted
Published: 2015/10/12
Channel: NS2 IEEE PROJECTS 2015-2016
PSL Introduction
PSL Introduction
Published: 2014/05/08
Channel: LINQS Edu
Lab Tutorial: Towards Open-domain Spoken Dialogue Systems
Lab Tutorial: Towards Open-domain Spoken Dialogue Systems
Published: 2016/06/22
Channel: Microsoft Research
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
Reusable IT | Semantic Enterprise Search Engine
Reusable IT | Semantic Enterprise Search Engine
Published: 2010/10/27
Channel: reusableit
NEXT
GO TO RESULTS [51 .. 100]

WIKIPEDIA ARTICLE

From Wikipedia, the free encyclopedia
Jump to: navigation, search

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]

Disclaimer

None of the audio/visual content is hosted on this site. All media is embedded from other sites such as GoogleVideo, Wikipedia, YouTube etc. Therefore, this site has no control over the copyright issues of the streaming media.

All issues concerning copyright violations should be aimed at the sites hosting the material. This site does not host any of the streaming media and the owner has not uploaded any of the material to the video hosting servers. Anyone can find the same content on Google Video or YouTube by themselves.

The owner of this site cannot know which documentaries are in public domain, which has been uploaded to e.g. YouTube by the owner and which has been uploaded without permission. The copyright owner must contact the source if he wants his material off the Internet completely.

Powered by YouTube
Wikipedia content is licensed under the GFDL and (CC) license