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Hits 1.061 – 1.080 of 1.080

1061
Dynamic Integration of Multiple Evidence Sources for Ontology Learning
In: http://eprints.weblyzard.com//56/1/wohlgenannt2012a-dynamicIntegrationOfMultipleEvidenceSources.pdf
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1062
An Innovative Two-Stage WSD Unsupervised Method Un Innovador Método No Supervisado para Desambiguación de Sentidos de Palabras basado en dos etapas
In: http://www.sepln.org/revistaSEPLN/revista/40/15p20.pdf
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1063
Extractive Summarisation of Legal Texts
In: http://www.ltg.ed.ac.uk/np/publications/ltg/papers/Hachey2006Extractive.pdf
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1064
EDUCATING LIA: THE DEVELOPMENT OF A LINGUISTICALLY ACCURATE MEMORY-BASED LEMMATISER FOR AFRIKAANS
In: http://dl.ifip.org/db/conf/ifip12/iip2006/Groenewald06.pdf
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1065
Distributed Representations for Semantic Matching in non-factoid Question Answering
In: http://ceur-ws.org/Vol-1204/papers/paper_9.pdf
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1066
Tutor Dialogue Planning with Contextual Information and Discourse Structure
In: http://www.cs.cmu.edu/afs/cs/user/rwfisher/www/Curriculum_Vitae_files/fisher_simmons_its14.pdf
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1067
ONTOLOGY SWITCHING FOR THE SOCIAL SCIENCES. METHODS FOR THE UNDERLYING CORPUS ANALYSIS
In: http://www.stroetgen.de/Dokumente/rc33-2004.pdf
Abstract: Semantic heterogeneity can be defined as the use of different documentation languages or ontologies for different document sets in digital libraries or other integrated document collections. Automatic translation between terms of different ontologies (“ontology switching”) is one approach to solve this problem. The underlying statistical methods based on corpus analysis allow the automatic identification of semantic relations (or “cross-concordances”) between terms from different ontologies. These methods require parallel corpora with documents that are indexed with terms from different ontologies. For the social sciences suitable corpora are very rare. Therefore, special modifications of the ontology switching approach help to deal with this lack. One alteration is simulating a parallel corpus for un-indexed document collections using machine learning and linguistic methods. Another change is translating not between two ontologies but between an ontology and suitable free text terms.
Keyword: Digital Libraries; Key words. Semantic Heterogeneity; Machine Learning; Metadata 1 TREATMENT OF SEMANTIC HETEROGENEITY; Natural Language Processing
URL: http://www.stroetgen.de/Dokumente/rc33-2004.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.5432
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1068
A Proposed Architecture for Automated Assessment of Use Case Diagrams
In: http://research.ijcaonline.org/volume108/number4/pxc3900193.pdf
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1069
THE EFFECT OF PARALLEL CORPUS QUALITY VS SIZE IN ENGLISH-TO- TURKISH SMT
In: http://airccj.org/CSCP/vol4/csit42503.pdf
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1070
Experience
In: http://www.desilinguist.org/pdf/madnani-cv.pdf
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1071
CALICO Journal, 26(3)
In: http://www.research.att.com/people/Stent_Amanda_J/library/publications/napolitanostent_09.pdf
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1072
Taxonomy and Evaluation of Markers for Computational
In: http://world-comp.org/p2011/ICA3763.pdf
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1073
Gradient for Structured Prediction
In: http://www.cs.sfu.ca/%7Eanoop/students/porus_patell/poruspatell-mscProject.pdf
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1074
Social Network- An autonomous system designed for radio recommendation.
In: http://www.cri.ensmp.fr/classement/doc/A-410.pdf
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1075
A Maximum Entropy (ME) Based Translation Model for Chinese Characters Conversion
In: http://www.cicling.org/2009/RCS-41/267-276.pdf
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1076
Effective Sentiment Analysis of Social Media Datasets using Naive Bayesian Classification
In: http://research.ijcaonline.org/volume99/number13/pxc3898274.pdf
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1077
Deep Learning with Constraints for Answer-Agnostic Question Generation in Legal Text Understanding
Lamba, Deepti. - August
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1078
Convolutional neural network language models
Boleda, Gemma; Pham, Nghia The; Kruszewski, German. - : ACL (Association for Computational Linguistics)
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1079
A Hybrid approach for biomedical relation extraction using finite state automata and random forest-weighted fusion
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1080
The LAMBADA dataset: word prediction requiring a broad discourse context
Kruszewski, German; Fernandez, Raquel; Baroni, Marco. - : ACL (Association for Computational Linguistics)
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