Roman Yangarber

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Ralph GrishmanProfessor of Computer Science, New York UniversityVerified email at cs.nyu.edu
Jakub PiskorskiEuropean Commission, Polish Academy of SciencesVerified email at ec.europa.eu
Silja HuttunenUniversity of HelsinkiVerified email at helsinki.fi
Lidia PivovarovaUniversity of HelsinkiVerified email at helsinki.fi
Anisia KatinskaiaUniversity of HelsinkiVerified email at helsinki.fi
Ralf SteinbergerRalf Steinberger PhotographyVerified email at pana.industries
Mian DuDoctoral student of Computer Science, University of HelsinkiVerified email at cs.helsinki.fi
Jens Patrick LingeEuropean CommissionVerified email at ec.europa.eu
Javad NouriResearch Assistant, University of HelsinkiVerified email at helsinki.fi
Noele NelsonCenters for Disease Control and PreventionVerified email at cdc.gov
Josef SteinbergerUniversity of West BohemiaVerified email at kiv.zcu.cz
David HartleyProfessor of Pediatrics, Cincinnati Children's Hospital Medical CenterVerified email at no-infection.net
Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
John BrownsteinHarvard Medical SchoolVerified email at harvard.edu
Horacio SaggionChair in Computer Science & Artificial Intelligence, Universitat Pompeu Fabra, DTICVerified email at upf.edu
Michał MarcińczukWrocław University of Science and TechnologyVerified email at pwr.edu.pl
Adam MeyersAssociate Clinical Professor, New York UniversityVerified email at cs.nyu.edu
Winston LinSenior Lecturer in Statistics and Data Science, University of PennsylvaniaVerified email at wharton.upenn.edu
Pavel PřibáňSentisquare, University of West BohemiaVerified email at kiv.zcu.cz
Vanni ZavarellaUniversity of Cagliari - Department of Mathematics and InformaticsVerified email at studenti.unica.it

Roman Yangarber

Professor, University of Helsinki

Verified email at helsinki.fi - Homepage

NLP language modeling language learning information extraction language evolution


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Information extraction: Past, present and future J Piskorski, R Yangarber Multi-source, multilingual information extraction and summarization, 23-49, 2013	346	2013
Automatic acquisition of domain knowledge for information extraction R Yangarber, R Grishman, P Tapanainen, S Huttunen COLING 2000 Volume 2: The 18th International Conference on Computational …, 2000	338	2000
Counter-training in discovery of semantic patterns R Yangarber Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003	192	2003
Information extraction for enhanced access to disease outbreak reports R Grishman, S Huttunen, R Yangarber Journal of biomedical informatics 35 (4), 236-246, 2002	171	2002
Unsupervised learning of generalized names R Yangarber, W Lin, R Grishman COLING 2002: The 19th International Conference on Computational Linguistics, 2002	161	2002
Unsupervised discovery of scenario-level patterns for information extraction R Yangarber, R Grishman, P Tapanainen Sixth Applied Natural Language Processing Conference, 282-289, 2000	152	2000
NYU: Description of the Proteus/PET system as used for MUC-7 ST R Yangarber, R Grishman Seventh Message Understanding Conference (MUC-7): Proceedings of a …, 1998	131	1998
The landscape of international event-based biosurveillance D Hartley, N Nelson, R Walters, R Arthur, R Yangarber, L Madoff, J Linge, ... Emerging Health Threats Journal 3 (1), 7096, 2010	129	2010
Bootstrapped learning of semantic classes from positive and negative examples W Lin, R Yangarber, R Grishman Proceedings of ICML-2003 Workshop on The Continuum from Labeled to Unlabeled …, 2003	118	2003
Internet surveillance systems for early alerting of health threats JP Linge, R Steinberger, TP Weber, R Yangarber, E van der Goot, ... Eurosurveillance 14 (13), 19162, 2009	111	2009
Evaluation of epidemic intelligence systems integrated in the early alerting and reporting project for the detection of A/H5N1 influenza events P Barboza, L Vaillant, A Mawudeku, NP Nelson, DM Hartley, LC Madoff, ... PLoS One 8 (3), e57252, 2013	108	2013
Real-time event extraction for infectious disease outbreaks R Grishman, S Huttunen, R Yangarber Proceedings of Human Language Technology Conference (HLT), 366-369, 2002	98	2002
An overview of internet biosurveillance DM Hartley, NP Nelson, RR Arthur, P Barboza, N Collier, N Lightfoot, ... Clinical Microbiology and Infection 19 (11), 1006-1013, 2013	96	2013
Scenario customization for information extraction R Yangarber New York University, 2000	88	2000
Text mining from the web for medical intelligence R Steinberger, F Fuart, C Best, P von Etter, R Yangarber	86	2008
Alignment of shared forests for bilingual corpora A Meyers, R Yangarber, R Grishman COLING 1996 Volume 1: The 16th International Conference on Computational …, 1996	82	1996
Customization of information extraction systems R Yangarber, R Grishman International Workshop on Lexically Driven Information Extraction, 1-11, 1997	65	1997
Using NOMLEX to produce nominalization patterns for information extraction A Meyers, C Macleod, R Yangarber, R Grishman, L Barrett, R Reeves The Computational Treatment of Nominals, 1998	58	1998
Machine learning of extraction patterns from un-annotated corpora R Yangarber, R Grishman ECAI-2000, 2000	56	2000
Revita: a language-learning platform at the intersection of ITS and CALL A Katinskaia, J Nouri, R Yangarber Proceedings of the Eleventh International Conference on Language Resources …, 2018	53	2018

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