Results 1 - 10 of 766

Semi-supervised learning of attribute-value pairs from product descriptions

by Katharina Probst, Rayid Ghani, Marko Krema, Andrew Fano, Yan Liu - In IJCAI-07, Ferbruary , 2007
"... We describe an approach to extract attribute-value pairs from product descriptions. This allows us to represent products as sets of such attribute-value pairs to augment product databases. Such a representation is useful for a variety of tasks where treating a product as a set of attribute-value pai ..."
Abstract - Cited by 13 (0 self) - Add to MetaCart
We describe an approach to extract attribute-value pairs from product descriptions. This allows us to represent products as sets of such attribute-value pairs to augment product databases. Such a representation is useful for a variety of tasks where treating a product as a set of attribute-value

Security at the Attribute-Value Pair (AVP) Level for Non-neighboring Diameter Nodes: Scenarios and Requirements

by Broadcom Limited , G Zorn Network , Zen K Pillay
"... Abstract This specification specifies requirements for providing Diameter security at the level of individual Attribute-Value Pairs (AVPs ..."
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Abstract This specification specifies requirements for providing Diameter security at the level of individual Attribute-Value Pairs (AVPs

A Self-Supervised Approach for Extraction of Attribute-Value Pairs from Wikipedia Articles

by Wladmir C. Br, Edleno S. Moura, Altigran S. Silva, Nivio Ziviani
"... Abstract. Wikipedia is the largest encyclopedia on the web and has been widely used as a reliable source of information. Researchers have been extracting entities, relationships and attribute-value pairs from Wikipedia and using them in information retrieval tasks. In this paper we present a self-su ..."
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Abstract. Wikipedia is the largest encyclopedia on the web and has been widely used as a reliable source of information. Researchers have been extracting entities, relationships and attribute-value pairs from Wikipedia and using them in information retrieval tasks. In this paper we present a self

Semi-Supervised Learning to Extract Attribute-Value Pairs from Product Descriptions on the Web

by Katharina Probst, Rayid Ghani, Marko Krema, Andy Fano, Yan Liu
"... Abstract. We describe an approach to extract attribute-value pairs from product descriptions on the Web. The goal is to augment product databases by representing each product as a set of such attribute-value pairs. Such a representation is useful for a variety of tasks where treating the product as ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract. We describe an approach to extract attribute-value pairs from product descriptions on the Web. The goal is to augment product databases by representing each product as a set of such attribute-value pairs. Such a representation is useful for a variety of tasks where treating the product

Layer 2 Tunneling Protocol (L2TP) Access Line Information Attribute Value Pair (AVP) Extensions

by V. Mammoliti, C. Pignataro, Cisco Systems, P. Arberg, J. Gibbons, P. Howard , 2009
"... This memo provides information for the Internet community. It does not specify an Internet standard of any kind. Distribution of this memo is unlimited. Copyright Notice Copyright (c) 2009 IETF Trust and the persons identified as the ..."
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This memo provides information for the Internet community. It does not specify an Internet standard of any kind. Distribution of this memo is unlimited. Copyright Notice Copyright (c) 2009 IETF Trust and the persons identified as the

Scalable Attribute-Value Extraction from Semi-Structured Text Submitted for Blind Review

by unknown authors
"... This paper describes a general methodology for extracting attribute-value pairs from web pages. Attribute-value extraction occurs in two phases: candidate generation, in which syntactically likely attribute-value pairs are annotated by scanning for common mark-up structures; and candidate filtering, ..."
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This paper describes a general methodology for extracting attribute-value pairs from web pages. Attribute-value extraction occurs in two phases: candidate generation, in which syntactically likely attribute-value pairs are annotated by scanning for common mark-up structures; and candidate filtering

Open-Domain Attribute-Value Acquisition from Semi-Structured Texts

by Naoki Yoshinaga, Kentaro Torisawa
"... Abstract. This paper proposes an unsupervised method that acquires a set of attribute-value pairs (avps, e.g., ⟨director, W. Wyler⟩) for a given object (e.g., “Ben-Hur”) from semi-structured HTML documents. The objects ’ avps are one of the principal components of domain ontologies. We first acquire ..."
Abstract - Cited by 6 (0 self) - Add to MetaCart
Abstract. This paper proposes an unsupervised method that acquires a set of attribute-value pairs (avps, e.g., ⟨director, W. Wyler⟩) for a given object (e.g., “Ben-Hur”) from semi-structured HTML documents. The objects ’ avps are one of the principal components of domain ontologies. We first

Copyright Notice

by G. Zorn, Q. Wu, V. Cakulev, Alcatel Lucent , 2012
"... Diameter Attribute-Value Pairs for Cryptographic Key Transport Some Authentication, Authorization, and Accounting (AAA) applications require the transport of cryptographic keying material. This document specifies a set of Attribute-Value Pairs (AVPs) providing native Diameter support of cryptographi ..."
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Diameter Attribute-Value Pairs for Cryptographic Key Transport Some Authentication, Authorization, and Accounting (AAA) applications require the transport of cryptographic keying material. This document specifies a set of Attribute-Value Pairs (AVPs) providing native Diameter support

ANVIL - A Generic Annotation Tool for Multimodal Dialogue

by Michael Kipp , 2001
"... Anvil is a tool for the annotation of audiovisual material containing multimodal dialogue. Annotation takes place on freely definable, multiple layers (tracks) by inserting time-anchored elements that hold a number of typed attribute-value pairs. Higher-level elements (suprasegmental) consist of a s ..."
Abstract - Cited by 168 (5 self) - Add to MetaCart
Anvil is a tool for the annotation of audiovisual material containing multimodal dialogue. Annotation takes place on freely definable, multiple layers (tracks) by inserting time-anchored elements that hold a number of typed attribute-value pairs. Higher-level elements (suprasegmental) consist of a

Lattice Machine: Version Space in Hyperrelations (Extended Abstract)

by Hui Wang, Ivo Düntsch, Günther Gediga, Andrzej Skowron - IN PROC. ACM SYMPOSIUM ON APPLIED COMPUTING , 2002
"... A version space is a set of all hypotheses consistent with a given set of training examples, delimited by the specific boundary and the general boundary. In existing studies [4, 5, 3] a hypothesis is a conjunction of attribute-value pairs, which is shown to have limited expressive power [6]. In th ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
A version space is a set of all hypotheses consistent with a given set of training examples, delimited by the specific boundary and the general boundary. In existing studies [4, 5, 3] a hypothesis is a conjunction of attribute-value pairs, which is shown to have limited expressive power [6]. In this
Results 1 - 10 of 766