A survey of web clustering engines
C Carpineto, S Osiński, G Romano… - ACM Computing Surveys …, 2009 - dl.acm.org
Web clustering engines organize search results by topic, thus offering a complementary
view to the flat-ranked list returned by conventional search engines. In this survey, we …
view to the flat-ranked list returned by conventional search engines. In this survey, we …
[PDF][PDF] Ontology learning from text: An overview
This volume brings together a collection of extended versions of selected papers from two
workshops on ontology learning, knowledge acquisition and related topics that were …
workshops on ontology learning, knowledge acquisition and related topics that were …
[图书][B] Handbook of natural language processing
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …
and techniques for implementing natural language processing in computer systems. Along …
Collective knowledge systems: Where the social web meets the semantic web
T Gruber - Journal of web semantics, 2008 - Elsevier
What can happen if we combine the best ideas from the Social Web and Semantic Web?
The Social Web is an ecosystem of participation, where value is created by the aggregation …
The Social Web is an ecosystem of participation, where value is created by the aggregation …
[PDF][PDF] Multi-prototype vector-space models of word meaning
J Reisinger, R Mooney - … : the 2010 annual conference of the north …, 2010 - aclanthology.org
Current vector-space models of lexical semantics create a single “prototype” vector to
represent the meaning of a word. However, due to lexical ambiguity, encoding word …
represent the meaning of a word. However, due to lexical ambiguity, encoding word …
[PDF][PDF] Espresso: Leveraging generic patterns for automatically harvesting semantic relations
P Pantel, M Pennacchiotti - … of the 21st international conference on …, 2006 - aclanthology.org
In this paper, we present Espresso, a weakly-supervised, general-purpose, and accurate
algorithm for harvesting semantic relations. The main contributions are: i) a method for …
algorithm for harvesting semantic relations. The main contributions are: i) a method for …
Two supervised learning approaches for name disambiguation in author citations
Due to name abbreviations, identical names, name misspellings, and pseudonyms
inpublications or bibliographies (citations), an author may have multiple names and multiple …
inpublications or bibliographies (citations), an author may have multiple names and multiple …
Ontology population and enrichment: State of the art
Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …
) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes …
[PDF][PDF] Learning first-order horn clauses from web text
S Schoenmackers, J Davis, O Etzioni… - Proceedings of the …, 2010 - aclanthology.org
Even the entire Web corpus does not explicitly answer all questions, yet inference can
uncover many implicit answers. But where do inference rules come from? This paper …
uncover many implicit answers. But where do inference rules come from? This paper …
Name disambiguation in author citations using a k-way spectral clustering method
An author may have multiple names and multiple authors may share the same name simply
due to name abbreviations, identical names, or name misspellings in publications or …
due to name abbreviations, identical names, or name misspellings in publications or …