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ICPR
2010
IEEE
13 years 10 months ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha
NLDB
2005
Springer
14 years 25 days ago
Combining Data-Driven Systems for Improving Named Entity Recognition
Abstract. The increasing flow of digital information requires the extraction, filtering and classification of pertinent information from large volumes of texts. An important pre...
Zornitsa Kozareva, Óscar Ferrández, ...
ACL
2012
11 years 9 months ago
Named Entity Disambiguation in Streaming Data
The named entity disambiguation task is to resolve the many-to-many correspondence between ambiguous names and the unique realworld entity. This task can be modeled as a classifi...
Alexandre Davis, Adriano Veloso, Altigran Soares d...
ICASSP
2011
IEEE
12 years 11 months ago
Named entity recognition from Conversational Telephone Speech leveraging Word Confusion Networks for training and recognition
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura, ...
ECIR
2008
Springer
13 years 8 months ago
The Impact of Named Entity Normalization on Information Retrieval for Question Answering
Abstract. In the named entity normalization task, a system identifies a canonical unambiguous referent for names like Bush or Alabama. Resolving synonymy and ambiguity of such name...
Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...