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Hits 1.041 – 1.060 of 1.080

1041
Visualisation of Learners' Contributions in Chat Conversations
In: http://www.cs.cityu.edu.hk/~wbl2007/WBL2007_Proceedings_HTML/WBL2007_PP217-226_Trausan-Matu.pdf (2007)
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1042
K.: Unsupervised models for morpheme segmentation and morphology learning
In: http://users.ics.aalto.fi/krista/papers/creutz07acmtslp.pdf (2007)
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1043
NLP and CALL: integration is working
In: Proceedings of the 7th Conference of Teaching and Language Corpora ; TaLC7 ; https://hal.archives-ouvertes.fr/hal-00790334 ; TaLC7, 2006, France (2006)
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1044
External advisor(s):
In: http://www.bth.se/fou/cuppsats.nsf/all/449af033ba2ef5acc125736e0045d807/$file/Michal.Marcinczuk_Master_Thesis_2007.09.19_bth_revised.pdf (2006)
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1045
Improved Document Representation for Classification Tasks for the Intelligence Community
In: School of Information Studies - Faculty Scholarship (2005)
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1046
Learning thematic role relations for lexical semantic nets ; Lernen thematischer Rollen-Relationen für lexikalisch-semantische Netze
Wagner, Andreas. - : Universität Tübingen, 2005
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1047
Combining Linguistic and Machine Learning Techniques for Word Alignment Improvement
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1048
Automatic expansion of domainspecific lexicons by term categorization
In: http://tcc.itc.it/people/lavelli/papers/TSLP06.pdf (2004)
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1049
Automatic expansion of domainspecific lexicons by term categorization
In: http://nmis.isti.cnr.it/sebastiani/Publications/TSLP06.pdf (2004)
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1050
Journal of Machine Learning Research 2 (2002) 669--693 Submitted 9/01; Published 3/02 Learning Rules and Their Exceptions
In: http://lcg-www.uia.ac.be/lcg/texts/./ps/dejean.jmlr2002.ps.gz (2002)
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1051
Learning rules and their exceptions
In: http://jmlr.csail.mit.edu/papers/volume2/dejean02a/dejean02a.pdf (2002)
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1052
C.: Current trends in grammatical inference
In: http://pagesperso.lina.univ-nantes.fr/%7Ecdlh/papers/colinsspr00.pdf (2000)
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1053
On the Portability and Tuning of Supervised Word Sense Disambiguation Systems
In: http://www.lsi.upc.es/~lluism/drafts/WSDport.ps.gz (2000)
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1054
Automatic Construction of Semantic Lexicons for Learning Natural Language Interfaces
In: ftp://ftp.cs.utexas.edu/pub/mooney/papers/wolfie-aaai99.ps.Z (1999)
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1055
Concepts and Algorithms for Discovering Formal Structures of Languages ; Concepts et algorithmes pour la découverte des structures formelles des langues
Déjean, Hervé. - : HAL CCSD, 1998
In: https://tel.archives-ouvertes.fr/tel-00169572 ; Théorie et langage formel [cs.FL]. Université de Caen, 1998. Français (1998)
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1056
SimSCL: A Simple fully-Supervised Contrastive Learning Framework for Text Representation
In: AJCAI 2021 - 34th Australasian Joint Conference on Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-03367972 ; AJCAI 2021 - 34th Australasian Joint Conference on Artificial Intelligence, Feb 2022, Sydney, Australia (1479)
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1057
IOS Press Distantly Supervised Web Relation Extraction for Knowledge Base Population
In: http://www.semantic-web-journal.net/system/files/swj885.pdf
Abstract: Abstract. Extracting information from Web pages for populating knowledge bases requires methods which are suitable across domains, do not require manual effort to adapt to new domains, are able to deal with noise and integrate information extracted from different Web pages. Recent approaches have used existing knowledge bases to learn to extract information with promising results. In this paper we propose the use of distant supervision for relation extraction from the Web. Distant supervision is an unsupervised method which uses background information from the Linking Open Data cloud to automatically label sentences with relations to create training data for relation classifiers. Although the method is promising, existing approaches are still not suitable for Web extraction as they suffer from three main issues: data sparsity, noise and lexical ambiguity. Our approach reduces the impact of data sparsity by making entity recognition tools more robust across domains and extracting relations across sentence boundaries using unsupervised co-reference resolution methods. We reduce the noise caused by lexical ambiguity by employing statistical methods to strategically select training data. To combine information extracted from multiple sources for populating knowledge bases we present and evaluate several information integration strategies and show that those benefit immensely from additional relation mentions extracted using co-reference resolution, increasing precision by 8%. We further show that strategically selecting training data can increase precision by a further 3%.
Keyword: Distant Supervision; Freebase; Knowledge Base Population; Linked Open Data; Natural Language Processing; Relation Extraction; Unsupervised Learning; Web-Based Methods
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.4573
http://www.semantic-web-journal.net/system/files/swj885.pdf
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1058
Using Syntactic Dependencies and WordNet Classes for Noun Event Recognition
In: http://ceur-ws.org/Vol-902/paper_5.pdf
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1059
Automated Translation between Lexicon and Corpora
In: http://www.humanamente.eu/PDF/Issue_23_Papers_Gola et al.pdf
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1060
Integrating Syntactic and Semantic Tools in Sfy A Case Study in Lexical Acquisition
In: http://www-student.cse.buffalo.edu/~pmheider/papers/TheShotgunApproach_PaulMHeider2008.pdf
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