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» Learning to rank networked entities
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 4 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
EDBT
2011
ACM
254views Database» more  EDBT 2011»
12 years 7 months ago
SocialSearch: enhancing entity search with social network matching
This paper introduces the problem of matching people names to their corresponding social network identities such as their Twitter accounts. Existing tools for this purpose build u...
Gae-won You, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
COLING
2008
13 years 4 months ago
Modeling Local Coherence: An Entity-Based Approach
This paper considers the problem of automatic assessment of local coherence. We present a novel entity-based representation of discourse which is inspired by Centering Theory and ...
Regina Barzilay, Mirella Lapata
NAACL
2010
13 years 2 months ago
Learning to Link Entities with Knowledge Base
This paper address the problem of entity linking. Specifically, given an entity mentioned in unstructured texts, the task is to link this entity with an entry stored in the existi...
Zhicheng Zheng, Fangtao Li, Minlie Huang, Xiaoyan ...
SIGIR
2009
ACM
13 years 11 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...