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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 42 1 Overview of the CLEF 2008 Multilingual Question Answering Track Forner, Pamela; Peñas, Anselmo; Alegria, Iñaki. - : Springer, 2018 BASE Show details 2 Eriktks/Clin2017St: Clin 2017 Shared Task (Version V1.0) ... Sang, Erik Tjong Kim. - : Zenodo, 2017 BASE Show details 3 Eriktks/Clin2017St: Clin 2017 Shared Task (Version V1.0) ... Sang, Erik Tjong Kim. - : Zenodo, 2017 BASE Show details 4 GikiCLEF: Crosscultural issues in multilingual information access Santos, Diana; Cabral, Luís Miguel; Forascu, Corina. - : European Language Resources Association, 2010 BASE Show details 5 GikiCLEF: Crosscultural issues in multilingual information access Santos, Diana; Cabral, Luís Miguel; Forner, Pamela. - : European Language Resources Association, 2010 BASE Show details 6 To use a treebank or not – which is better for hypernym extraction Erik Tjong; Kim Sang In: http://lotos.library.uu.nl/publish/articles/000272/bookpart.pdf (2009) BASE Show details 7 AUTOMATIC EXTRACTION OF HYPERNYMY INFORMATION Deliverable 6.1 Erik Tjong; Kim Sang In: http://odur.let.rug.nl/~vannoord/Lassy/deliverable6-1.pdf (2009) BASE Show details 8 Cornetto Deliverable D08: Acquisition Toolkit Erik Tjong; Kim Sang In: http://www2.let.vu.nl/oz/cltl/cornetto/docs/D08 Cornetto Acquisition toolkit.pdf (2008) BASE Show details 9 Overview of the clef 2008 multilingual question answering track Pamela Forner; Anselmo Peñas; Iñaki Alegria... In: https://ccc.inaoep.mx/%7Evillasen/bib/CLEF08Working_Notes_QA_Overview.pdf (2008) BASE Show details 10 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://acl.ldc.upenn.edu/W/W01/W01-0712.pdf (2001) BASE Show details 11 Learning Computational Grammars Miles Osborne; Franck Thollardx; Erik Tjong... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.ps.gz (2001) BASE Show details 12 Learning Computational Grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://lcg-www.uia.ac.be/lcg/texts/./pdf/nerbonne.conll2001.pdf (2001) BASE Show details 13 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/papers/2001/conlld01.pdf (2001) BASE Show details 14 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://www.cnts.ua.ac.be/conll2001/pdf/09704ner.pdf (2001) BASE Show details 15 Learning computational grammars John Nerbonne; Anja Belz; Nicola Cancedda... In: http://staff.science.uva.nl/~erikt/papers/conll2001d.pdf (2001) BASE Show details 16 Meta-learning for phonemic annotation of corpora Véronique Hoste; Walter Daelemans; Erik Tjong... In: http://arxiv.org/pdf/cs/0008013v1.pdf (2000) BASE Show details 17 Meta-Learning for Phonemic Annotation of Corpora Véronique Hoste; Walter Daelemans; Erik Tjong Kim Sang; Steven Gillis In: http://lcg-www.uia.ac.be/~erikt/papers/icml2000.ps.gz (2000) Abstract: We apply rule induction, classier combination and meta-learning (stacked classiers) to the problem of bootstrapping high accuracy automatic annotation of corpora with pronunciation information. The task we address in this paper consists of generating phonemic representations reecting the Flemish and Dutch pronunciations of a word on the basis of its orthographic representation (which in turn is based on the actual speech recordings). We compare several possible approaches to achieve the text-topronunciation mapping task: memory-based learning, transformation-based learning, rule induction, maximum entropy modeling, combination of classiers in stacked learning, and stacking of meta-learners. We are interested both in optimal accuracy and in obtaining insight into the linguistic regularities involved. As far as accuracy is concerned, an already high accuracy level (93% for Celex and 86% for Fonilex at word level) for single classiers is boosted signicantly wit. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.4352 http://lcg-www.uia.ac.be/~erikt/papers/icml2000.ps.gz BASE Hide details 18 Meta-Learning for Phonemic Annotation of Corpora Veronique Hoste; Walter Daelemans; Erik Tjong Kim Sang... In: http://cnts.uia.ac.be/~walter/papers/2000/hdsg00.ps (2000) BASE Show details 19 Meta-Learning for Phonemic Annotation of Corpora ... Hoste, Veronique; Daelemans, Walter; Sang, Erik Tjong Kim. - : arXiv, 2000 BASE Show details 20 Part of Speech Tagging Erik Tjong Kim Sang; Mark Liberman; Yves Schabes In: http://stp.ling.uu.se/~perjo/notes2.ps (1997) BASE Show details Page: 1 2 3

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