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» Entity Extraction is a Boring Solved Problem - Or is it
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SIGIR
2011
ACM
12 years 9 months ago
Mining tags using social endorsement networks
Entities on social systems, such as users on Twitter, and images on Flickr, are at the core of many interesting applications: they can be ranked in search results, recommended to ...
Theodoros Lappas, Kunal Punera, Tamás Sarlo...
COLING
2010
13 years 1 months ago
Extracting and Ranking Product Features in Opinion Documents
An important task of opinion mining is to extract people's opinions on features of an entity. For example, the sentence, "I love the GPS function of Motorola Droid"...
Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-...
IJCV
2010
194views more  IJCV 2010»
13 years 5 months ago
Extended Phase Field Higher-Order Active Contour Models for Networks - Its Application to Road Network Extraction from VHR Satel
This paper addresses the segmentation from an image of entities that have the form of a ‘network’, i.e. the region in the image corresponding to the entity is composed of bran...
Ting Peng, Ian H. Jermyn, Véronique Prinet,...
IJMI
2002
82views more  IJMI 2002»
13 years 6 months ago
Protein names and how to find them
A prerequisite for all higher level information extraction tasks is the identication of unknown names in text. Today, when large corpora can consist of billions of words, it is of...
Kristofer Franzén, Gunnar Eriksson, Fredrik...
WIA
2001
Springer
13 years 11 months ago
Finite-State Transducer Cascade to Extract Proper Names in Texts
This article describes a finite-state cascade for the extraction of person names in texts in French. We extract these proper names in order to categorize and to cluster texts with...
Nathalie Friburger, Denis Maurel