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FSMNLP
2005
Springer
15 years 3 months ago
Algorithms for Minimum Risk Chunking
Abstract. Stochastic finite automata are useful for identifying substrings (chunks) within larger units of text. Relevant applications include tokenization, base-NP chunking, name...
Martin Jansche
92
Voted
CICLING
2010
Springer
15 years 26 days ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...
ACL
2012
12 years 12 months ago
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench...
Rafal Rak, BalaKrishna Kolluru, Sophia Ananiadou
88
Voted
ACL
2009
14 years 7 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
BMCBI
2008
150views more  BMCBI 2008»
14 years 9 months ago
Natural Language Processing in aid of FlyBase curators
Background: Despite increasing interest in applying Natural Language Processing (NLP) to biomedical text, whether this technology can facilitate tasks such as database curation re...
Nikiforos Karamanis, Ruth Seal, Ian Lewin, Peter M...