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IJCNLP
2005
Springer
13 years 9 months ago
Heuristic Methods for Reducing Errors of Geographic Named Entities Learned by Bootstrapping
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
Seungwoo Lee, Gary Geunbae Lee
CLEF
2005
Springer
13 years 10 months ago
University of Alicante at GeoCLEF 2005
For the participation of the University of Alicante in the first cross-language Geographic Information Retrieval, we have developed a system made up of three modules. One of them...
Óscar Ferrández, Zornitsa Kozareva, ...
CIKM
2005
Springer
13 years 10 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
IAT
2006
IEEE
13 years 10 months ago
Semantic Labeling of Data by Using the Web
The Web consists of a large amount of unstructured information that hardly can be elaborated by automatic agents. In recent years, a considerable number of techniques for informat...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...
SEMCO
2007
IEEE
13 years 10 months ago
Nested Named Entity Recognition in Historical Archive Text
This paper describes work on Named Entity Recognition (NER), in preparation for Relation Extraction (RE), on data from a historical archive organisation. As is often the case in t...
Kate Byrne
SIGIR
2009
ACM
13 years 11 months ago
Named entity recognition in query
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li
FQAS
2009
Springer
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13 years 11 months ago
Design of an Interface for Interactive Topic Detection and Tracking
This paper presents the design of a new interface for interactive Topic Detection and Tracking (TDT) called Ievent. It is composed of 3 main views; a Cluster View, a Document View,...
Masnizah Mohd, Fabio Crestani, Ian Ruthven