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| 81 |
Using natural language generation in automatic route description
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In: http://www.jrpit.acs.org.au/jrpit/jrpitvolumes/jrpit37/jrpit37.1.89.pdf (2005)
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| 82 |
Investigating Unsupervised Learning for Text Categorization Bootstrapping
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In: http://eprints.pascal-network.org/archive/00001768/01/Intensional-learning10-final-posted.pdf (2005)
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| 83 |
The Influence of Capital Controls on Long Run Growth: Where and How Much
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In: https://faculty.fuqua.duke.edu/~charvey/Spur/Chanda_The_influence_of.pdf (2005)
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| 84 |
The GeoTALP-IR System at GeoCLEF-2005: Experiments Using a QA-based IR System, Linguistic Analysis, and a Geographical Thesaurus
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In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/ferres205.pdf (2005)
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| 85 |
DNA computing, insertion of words and left-symmetric algebras
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In: http://math.usask.ca/~bremner/research/publications/Bdnatalk.pdf (2005)
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| 86 |
Genetic fuzzy discretization with adaptive intervals for classification problems
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In: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p2037.pdf (2005)
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| 87 |
EURASIP Journal on Applied Signal Processing 2005:9, 1410–1424 c ○ 2005 Hindawi Publishing Corporation Objective Speech Quality Measurement Using Statistical Data Mining
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In: http://asp.eurasipjournals.com/content/pdf/1687-6180-2005-721258.pdf (2004)
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| 88 |
Toward a Document Model for Question Answering Systems
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In: http://ccc.inaoep.mx/~mmontesg/publicaciones/2004/QuestionAnsweringModel-AWIC04.pdf (2004)
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| 89 |
et al.: A web service based framework for the semantic mapping amongst product classification schemas
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In: http://www.csulb.edu/web/journals/jecr/issues/20042/Paper4.pdf (2004)
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| 90 |
Automatic expansion of domainspecific lexicons by term categorization
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In: http://tcc.itc.it/people/lavelli/papers/TSLP06.pdf (2004)
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| 91 |
Automatic expansion of domainspecific lexicons by term categorization
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In: http://nmis.isti.cnr.it/sebastiani/Publications/TSLP06.pdf (2004)
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| 92 |
Integrated language technologies for multilingual information services in the MEMPHIS project
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In: http://sprout.dfki.de/publications/applications/Memphis_lrec-04.pdf (2004)
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| 93 |
Medinfo 2004
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In: http://lhncbc.nlm.nih.gov:80/lhc/docs/published/2004/pub2004049.pdf (2004)
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| 94 |
Language-specific models in multilingual topic tracking
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In: http://ciir.cs.umass.edu/pubfiles/ir-343.pdf (2004)
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| 95 |
Arabic Text Recognition
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In: http://www.ccis2k.org/iajit/PDF/vol.1,no.2/02-Ramzi.pdf (2004)
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| 96 |
Effect of Feature Smoothing Methods in Text Classification Tasks
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In: http://www-i6.informatik.rwth-aachen.de/PostScript/InterneArbeiten/Vilar_SmootingInTextClassification_PRIS_2004.ps.gz (2004)
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| 97 |
Analysis of Statistical Question Classification for Fact-based Questions
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In: http://ciir.cs.umass.edu/pubfiles/ir-323.pdf (2004)
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Abstract:
Question classification systems play an important role in question answering systems and can be used in a wide range of other domains. The goal of question classification is to accurately assign labels to questions based on expected answer type. Most approaches in the past have relied on matching questions against hand-crafted rules. However, rules require laborious e#ort to create and often su#er from being too specific. Statistical question classification methods overcome these issues by employing machine learning techniques. We empirically show that a statistical approach is robust and achieves good performance on three diverse data sets with little or no hand tuning. Furthermore, we examine the role di#erent syntactic and semantic features have on performance. We find that semantic features tend to increase performance more than purely syntactic features. Finally, we analyze common causes of misclassification error and provide insight into ways they may be overcome.
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Keyword:
machine learning; question answering; question classification; semantic features; Support Vector Machines; syntactic features; WordNet 1.1. Overview
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.931
http://ciir.cs.umass.edu/pubfiles/ir-323.pdf
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| 98 |
Image classification based on fuzzy logic
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In: http://www.isprs.org/proceedings/XXXV/congress/comm6/papers/685.pdf (2004)
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| 99 |
Discovering interesting knowledge from a science & technology database with a genetic algorithm
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In: http://www.cs.ukc.ac.uk/people/staff/aaf/pub_papers.dir/Applied-Soft-Comp-J-Wesley-2004.pdf (2004)
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| 100 |
Abstract Using name-internal and contextual features to classify biological terms
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In: http://www.cis.udel.edu/~kamboj/pubs/kamboj.jbi.04.pdf (2004)
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