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» Named Entity Recognition for Digitised Historical Texts
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IIR
2010
15 years 1 months ago
Sentence-Based Active Learning Strategies for Information Extraction
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebasti...
BMCBI
2005
122views more  BMCBI 2005»
14 years 11 months ago
Finding genomic ontology terms in text using evidence content
Background: The development of text mining systems that annotate biological entities with their properties using scientific literature is an important recent research topic. These...
Francisco M. Couto, Mário J. Silva, Pedro C...
LREC
2008
153views Education» more  LREC 2008»
15 years 1 months ago
Extracting and Querying Relations in Scientific Papers on Language Technology
We describe methods for extracting interesting factual relations from scientific texts in computational linguistics and language technology taken from the ACL Anthology. We use a ...
Ulrich Schäfer, Hans Uszkoreit, Christian Fed...
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 2 days ago
Structured entity identification and document categorization: two tasks with one joint model
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
RIAO
2007
15 years 1 months ago
Extracting Useful Information from the Full Text of Fiction
In this paper, we describe some experiments in large-scale Information Extraction (IE) focusing on book texts. We investigate the scalability of IE techniques to full-sized books,...
Sharon Givon, Maria Milosavljevic