Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Sophia Katrenko"'
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030938413
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94aa6f7ee92793fe581d3d6834906960
https://doi.org/10.1007/978-3-030-93842-0_9
https://doi.org/10.1007/978-3-030-93842-0_9
Autor:
Subhradeep Kayal, Michelle L. Gregory, Marius Doornenbal, Sophia Katrenko, Zubair Afzal, George Tsatsaronis
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030137083
LOD
LOD
Many would argue that the currency of research is citations; however, researchers and funding organizations alike are lacking tools with which they can explore how this currency translates to funding opportunities. Motivated by this need, in this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73ff6c49e9426561978b7abe2c1b6c5a
https://doi.org/10.1007/978-3-030-13709-0_27
https://doi.org/10.1007/978-3-030-13709-0_27
Autor:
Michelle L. Gregory, Pascal Coupet, Zubair Afzal, Subhradeep Kayal, George Tsatsaronis, Marius Doornenbal, Sophia Katrenko
Publikováno v:
BioNLP
Scopus-Elsevier
Scopus-Elsevier
In this paper we present a solution for tagging funding bodies and grants in scientific articles using a combination of trained sequential learning models, namely conditional random fields (CRF), hidden markov models (HMM) and maximum entropy models
The European Summer School in Logic, Language and Information (ESSLLI) is organized every year by the Association for Logic, Language and Information (FoLLI) in different sites around Europe. The main focus of ESSLLI is on the interface between lingu
Publikováno v:
Journal of Artificial Intelligence Research, 38, 1-48. Morgan Kaufmann Publishers, Inc.
This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we introduce local alignment kernels and explore various possibilities of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a478e0f0b3f63e8e819e59a54cae6e47
http://arxiv.org/abs/1405.7713
http://arxiv.org/abs/1405.7713
Autor:
Sophia Katrenko, Benno Kruit, Heidi Klockmann, Yoad Winter, Sophie Chesney, Stavroula Alexandropoulou, Assaf Toledo, Pepijn Kokke
Publikováno v:
Linguistic Issues in Language Technology. 9
We introduce a new formal semantic model for annotating textual entailments that describes restrictive, intersective, and appositive modification. The model contains a formally defined interpreted lexicon, which specifies the inventory of symbols and
Autor:
Ido Dagan, Assaf Toledo, Heidi Klockmann, Yoad Winter, Sophia Katrenko, Stavroula Alexandropoulou, Asher Stern
Publikováno v:
Advances in Computational Intelligence ISBN: 9783642377976
MICAI (2)
MICAI (2)
We introduce a new semantic annotation scheme for the Recognizing Textual Entailment (RTE) dataset as well as a manually annotated dataset that uses this scheme. The scheme addresses three types of modification that license entailment patterns: restr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8a45216f8c34bd3e03f5acafe247f07
https://doi.org/10.1007/978-3-642-37798-3_2
https://doi.org/10.1007/978-3-642-37798-3_2
Publikováno v:
Bioinformatics, 27(2), 259-265. Oxford University Press
Motivation: Protein–protein interactions (PPIs) play an important role in understanding biological processes. Although recent research in text mining has achieved a significant progress in automatic PPI extraction from literature, performance of ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ec7911b728ca60f430b03a513d59e2d
https://dare.uva.nl/personal/pure/en/publications/a-hybrid-approach-to-extract-proteinprotein-interactions(7c9496c7-8013-4d3e-912f-f376e3b574fc).html
https://dare.uva.nl/personal/pure/en/publications/a-hybrid-approach-to-extract-proteinprotein-interactions(7c9496c7-8013-4d3e-912f-f376e3b574fc).html
Autor:
Sophia Katrenko, Pieter Adriaans, Martijn J. Schuemie, M. Scott Marshall, Marco Roos, Konstantinos Krommydas, Edgar Meij, Willem Robert van Hage, Andrew P. Gibson
Publikováno v:
BMC Bioinformatics, 10(S10). BioMed Central
BMC Bioinformatics, 10. BioMed Central Ltd.
Roos, M, Scott, M S, Gibson, A P, Schuemie, M, Meij, E, Katrenko, S, van Hage, W R, Krommydas, K & Adriaans, P W 2009, ' Structuring and extracting knowledge for the support of hypothesis generation in molecular biology ', BMC Bioinformatics . https://doi.org/10.1186/1471-2105-10-S10-S9
BMC Bioinformatics
BMC Bioinformatics, Vol 10, Iss Suppl 10, p S9 (2009)
BMC Bioinformatics. BioMed Central
BMC Bioinformatics, 10. BioMed Central Ltd.
Roos, M, Scott, M S, Gibson, A P, Schuemie, M, Meij, E, Katrenko, S, van Hage, W R, Krommydas, K & Adriaans, P W 2009, ' Structuring and extracting knowledge for the support of hypothesis generation in molecular biology ', BMC Bioinformatics . https://doi.org/10.1186/1471-2105-10-S10-S9
BMC Bioinformatics
BMC Bioinformatics, Vol 10, Iss Suppl 10, p S9 (2009)
BMC Bioinformatics. BioMed Central
Background Hypothesis generation in molecular and cellular biology is an empirical process in which knowledge derived from prior experiments is distilled into a comprehensible model. The requirement of automated support is exemplified by the difficul
Autor:
Craig A. Struble, Andreas Vlachos, Hongfang Liu, Lorraine K. Tanabe, W. John Wilbur, I-Fang Chung, Christian Blaschke, Christoph M. Friedrich, Mariana Neves, Bob Carpenter, William A. Baumgartner, Lawrence Hunter, Manabu Torii, Yifei Chen, Anna Divoli, Preslav Nakov, Hong-Jie Dai, Roman Klinger, Manuel Maña-López, Barry Haddow, Sophia Katrenko, Pieter Adriaans, Chengjie Sun, Yu-Shi Lin, Chun-Nan Hsu, Feng Liu, Richard Tzong-Han Tsai, Rafael Torres, Jacinto Mata, Kuzman Ganchev, Rie Johnson nee Ando, Cheng-Ju Kuo, Richard J. Povinelli, Larry Smith
Publikováno v:
Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname
Genome Biology, 9(Suppl 2). BioMed Central
Genome Biology
Smith, L, Tanabe, L K, Ando, R, Kuo, C-J, Chung, I-F, Hsu, C-N, Lin, Y-S, Klinger, R, Friedrich, C M, Ganchev, K, Torii, M, Liu, H, Haddow, B, Struble, C A, Povinelli, R J, Vlachos, A, Baumgartner, W A, Hunter, L, Carpenter, B, Tsai, R, Dai, H-J, Liu, F, Chen, Y, Sun, C, Katrenko, S, Adriaans, P, Blaschke, C, Torres, R, Neves, M, Nakov, P, Divoli, A, Maña-López, M, Mata, J & Wilbur, W J 2008, ' Overview of BioCreative II gene mention recognition ', Genome Biology, vol. 9, no. 2, pp. 1-19 . https://doi.org/10.1186/gb-2008-9-s2-s2
instname
Genome Biology, 9(Suppl 2). BioMed Central
Genome Biology
Smith, L, Tanabe, L K, Ando, R, Kuo, C-J, Chung, I-F, Hsu, C-N, Lin, Y-S, Klinger, R, Friedrich, C M, Ganchev, K, Torii, M, Liu, H, Haddow, B, Struble, C A, Povinelli, R J, Vlachos, A, Baumgartner, W A, Hunter, L, Carpenter, B, Tsai, R, Dai, H-J, Liu, F, Chen, Y, Sun, C, Katrenko, S, Adriaans, P, Blaschke, C, Torres, R, Neves, M, Nakov, P, Divoli, A, Maña-López, M, Mata, J & Wilbur, W J 2008, ' Overview of BioCreative II gene mention recognition ', Genome Biology, vol. 9, no. 2, pp. 1-19 . https://doi.org/10.1186/gb-2008-9-s2-s2
Nineteen teams presented results for the Gene Mention Task at the BioCreative II Workshop. In this task participants designed systems to identify substrings in sentences corresponding to gene name mentions. A variety of different methods were used an