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Domain-Sensitive Temporal Tagging

LivreCartonné
Classement des ventes 183960dans
CHF72.40

Description

Covers the topic of temporal tagging, the detection of temporal expressions and the normalization of their semantics to some standard format. It places a special focus on the challenges and opportunities of domain-sensitive temporal tagging. After providing background knowledge on the concept of time, the book continues with a comprehensive survey of current research on temporal tagging.

Détails

ISBN/GTIN978-1-62705-459-1
Type de produitLivre
ReliureCartonné
Lieu de parutionSan Rafael, CA
Pays de parutionÉtats-Unis
Date de parution30.07.2016
LangueAnglais
DimensionsLargeur 191 mm, Hauteur 235 mm
Poids298 g
N° article4431635
CataloguesNielsen
Source des données n°9781627054591
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Série

Auteur

Jannik Strotgen is a postdoctoral researcher at the Max Planck Institute for informatics in Saarbrucken, Germany. He studied computational linguistics and economics at Heidelberg University, Germany and received his Magister Artium in 2009. Between 2009 and 2015, he worked as a research assistant at the Computer Science department in Heidelberg. In March 2015, he defended his Ph.D. thesis, in which he worked on temporal, geographic, and evvent-centric information extraction and retrieval supervised by Prof. Dr. Michael Gertz. In the context of his thesis the domain-sensitive and multilingual temporal tagger HeidelTime has been developed. It was made publicly available and is constantly improved. Michael Gertz is a full professor at Heidelberg University where he heads the database systems group at the faculty of Mathematics and Computer Science. He recieved his diploma in Computer Science from the University of Dortmund, Germany, and his Ph.D. from the University of Hanover, Germany in 1996. From 1997 until 2008 he was on the faculty of the University of California at Davis. He currently serves on the editiorial board of the ACM Transactions on Spatial Algorithms and Systems, and he is an associate editor of the ACM journal on Data and Information Quality. His research interests include the management and analysis of temporal, spatial, and spatio-temporal data, data mining, and social network analysis.

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