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Semantic information

by Doh-shin Jeon Y, Stefano Lovo Z, Thank Bruno Biais, Er Gumbel, Levent Kockesen, Augustin L, Jerome Mathis For Useful - Brit. J. Phil. Science , 1953
"... This paper examines whether there is a natural barrier to entry in the credit rating industry. We consider an in…nite horizon model in which each period, an original incumbent faces competition from an entrant randomly selected from a pool of ex ante identical potential entrants. The incumbent’s acc ..."
Abstract - Cited by 11 (0 self) - Add to MetaCart
accuracy is imperfect, constant and known while each entrant’s true accuracy is unknown and can be perfect or completely noisy. In the benchmark in which the signal that a CRA receives is public information, we …nd that the market provides either a right or a socially excessive incentive to experiment

Probabilistic Latent Semantic Analysis

by Thomas Hofmann - In Proc. of Uncertainty in Artificial Intelligence, UAI’99 , 1999
"... Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two--mode and co-occurrence data, which has applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. Compared to standard Latent Sema ..."
Abstract - Cited by 771 (9 self) - Add to MetaCart
Probabilistic Latent Semantic Analysis is a novel statistical technique for the analysis of two--mode and co-occurrence data, which has applications in information retrieval and filtering, natural language processing, machine learning from text, and in related areas. Compared to standard Latent

Using information content to evaluate semantic similarity in a taxonomy

by Philip Resnik - In Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI-95 , 1995
"... philip.resnikfleast.sun.com This paper presents a new measure of semantic similarity in an IS-A taxonomy, based on the notion of information content. Experimental evaluation suggests that the measure performs encouragingly well (a correlation of r = 0.79 with a benchmark set of human similarity judg ..."
Abstract - Cited by 1097 (8 self) - Add to MetaCart
philip.resnikfleast.sun.com This paper presents a new measure of semantic similarity in an IS-A taxonomy, based on the notion of information content. Experimental evaluation suggests that the measure performs encouragingly well (a correlation of r = 0.79 with a benchmark set of human similarity

From data to semantic information

by Luciano Floridi - Entropy , 2003
"... Abstract: There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the Dretske-Grice approach: meaningful and well-formed data c ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
Abstract: There is no consensus yet on the definition of semantic information. This paper contributes to the current debate by criticising and revising the Standard Definition of semantic Information (SDI) as meaningful data, in favour of the Dretske-Grice approach: meaningful and well-formed data

Yago: A Core of Semantic Knowledge

by Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum - IN PROC. OF WWW ’07 , 2007
"... We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains roughly 900,000 entities and 5,000,000 facts. This includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as hasWonPrize ..."
Abstract - Cited by 504 (66 self) - Add to MetaCart
persons, organizations, products, etc. with their semantic relationships – and in quantity by increasing the number of facts by more than an order of magnitude. Our empirical evaluation of fact correctness shows an accuracy of about 95%. YAGO is based on a logically clean model, which is decidable

Semantic matching of web services capabilities

by Massimo Paolucci, Takahiro Kawamura, Terry R. Payne, Katia Sycara , 2002
"... Abstract. The Web is moving from being a collection of pages toward a collection of services that interoperate through the Internet. The first step toward this interoperation is the location of other services that can help toward the solution of a problem. In this paper we claim that location of web ..."
Abstract - Cited by 581 (24 self) - Add to MetaCart
of web services should be based on the semantic match between a declarative description of the service being sought, and a description of the service being offered. Furthermore, we claim that this match is outside the representation capabilities of registries such as UDDI and languages such as WSDL. We

The Proposition Bank: An Annotated Corpus of Semantic Roles

by Martha Palmer, Paul Kingsbury, Daniel Gildea - Computational Linguistics , 2005
"... The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank. The resulting resource can be thought of as shallow, in that it does not represent corefere ..."
Abstract - Cited by 556 (22 self) - Add to MetaCart
The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn Treebank. The resulting resource can be thought of as shallow, in that it does not represent

Semantic similarity based on corpus statistics and lexical taxonomy

by Jay J. Jiang, David W. Conrath - Proc of 10th International Conference on Research in Computational Linguistics, ROCLING’97 , 1997
"... This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical taxonomy structure with corpus statistical information so that the semantic distance between nodes in the semantic space constructed by the taxonomy can be better quantifie ..."
Abstract - Cited by 873 (0 self) - Add to MetaCart
This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical taxonomy structure with corpus statistical information so that the semantic distance between nodes in the semantic space constructed by the taxonomy can be better

On Quantifying Semantic Information

by unknown authors , 2010
"... The purpose of this paper is to examine existing methods of semantic information quan-tification and suggest some alternatives. It begins with an outline of Bar-Hillel and Carnap’s theory of semantic information before going on to look at Floridi’s theory of strongly semantic information. The latter ..."
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The purpose of this paper is to examine existing methods of semantic information quan-tification and suggest some alternatives. It begins with an outline of Bar-Hillel and Carnap’s theory of semantic information before going on to look at Floridi’s theory of strongly semantic information

Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language

by Philip Resnik , 1999
"... This article presents a measure of semantic similarityinanis-a taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The a ..."
Abstract - Cited by 609 (9 self) - Add to MetaCart
This article presents a measure of semantic similarityinanis-a taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach
Results 1 - 10 of 29,104