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FSMNLP
2005
Springer
13 years 10 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
CICLING
2010
Springer
13 years 8 months 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...
LREC
2010
189views Education» more  LREC 2010»
13 years 3 months ago
NLGbAse: A Free Linguistic Resource for Natural Language Processing Systems
Availability of labeled language resources, such as annotated corpora and domain dependent labeled language resources is crucial for experiments in the field of Natural Language ...
Eric Charton, Juan Manuel Torres Moreno
BMCBI
2008
150views more  BMCBI 2008»
13 years 5 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...
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
13 years 12 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...