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Hits 1.041 – 1.060 of 1.080
1041 |
Visualisation of Learners' Contributions in Chat Conversations
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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
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In: http://users.ics.aalto.fi/krista/papers/creutz07acmtslp.pdf (2007)
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1043 |
NLP and CALL: integration is working
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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):
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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
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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
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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
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In: http://tcc.itc.it/people/lavelli/papers/TSLP06.pdf (2004)
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1049 |
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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1050 |
Journal of Machine Learning Research 2 (2002) 669--693 Submitted 9/01; Published 3/02 Learning Rules and Their Exceptions
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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
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In: http://jmlr.csail.mit.edu/papers/volume2/dejean02a/dejean02a.pdf (2002)
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1052 |
C.: Current trends in grammatical inference
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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
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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
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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
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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
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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
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In: http://www.semantic-web-journal.net/system/files/swj885.pdf
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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%.
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Keyword:
Distant Supervision; Freebase; Knowledge Base Population; Linked Open Data; Natural Language Processing; Relation Extraction; Unsupervised Learning; Web-Based Methods
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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
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In: http://ceur-ws.org/Vol-902/paper_5.pdf
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1059 |
Automated Translation between Lexicon and Corpora
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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
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In: http://www-student.cse.buffalo.edu/~pmheider/papers/TheShotgunApproach_PaulMHeider2008.pdf
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