Roman Klinger

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Martin Hofmann-ApitiusProfessor für Angewandte Life Science Informatik, Universität BonnVerified email at scai.fraunhofer.de
Christoph M. FriedrichProfessor for Biomedical Computer Science, University of Applied Sciences and Arts, DortmundVerified email at computer.org
Juliane FluckZB MED Information centre for Life SciencesVerified email at zbmed.de
Philipp CimianoProfessor for Computer Science, Bielefeld UniversityVerified email at cimiano.de
Sebastian PadoProfessor of Computational Linguistics, Computer Science Department, Stuttgart UniversityVerified email at ims.uni-stuttgart.de
Evgeny KimDaimlerVerified email at daimler.com
Laura Ana Maria OberländerUniversity of StuttgartVerified email at ims.uni-stuttgart.de
Matthias HartungSemalytix GmbH, Chief Research & Development OfficerVerified email at semalytix.com
Philippe ThomasGerman Research Center for Artificial IntelligenceVerified email at dfki.de
Enrica TroianoUniversity of StuttgartVerified email at ims.uni-stuttgart.de
Tamara BobicPhD student at Hasso Plattner Institute, PotsdamVerified email at hpi.de
Sabine Schulte im WaldeUniversity of Stuttgart, GermanyVerified email at ims.uni-stuttgart.de
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Dr. Harsha GurulingappaMerck KGaAVerified email at merckgroup.com
Hans Werner MüllerHead, Molecular Neurobiology Laboratory, Department of Neurology, Heinrich-Heine-UniversityVerified email at uni-duesseldorf.de
Laura I. FurlongMedbioinformatics Solutions and GRIB (IMIM-UPF)Verified email at disgenetplus.com
Christian ScheibleInstitut für Maschinelle Sprachverarbeitung, Universität StuttgartVerified email at ims.uni-stuttgart.de
Bernd MüllerVerified email at rwth-aachen.de
Ferran SanzDirector, Research Programme on Biomedical Informatics (GRIB), IMIM, Universitat Pompeu Fabra, BarcelonaVerified email at imim.es
Konstantin BuschmeierBielefeld UniversityVerified email at techfak.uni-bielefeld.de

Roman Klinger

Senior lecturer, Institut für Maschinelle Sprachverarbeitung, Uni Stuttgart

Verified email at ims.uni-stuttgart.de - Homepage

emotion analysis sentiment analysis digital humanities machine learning biomedical NLP


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Overview of BioCreative II gene mention recognition L Smith, LK Tanabe, RJ nee Ando, CJ Kuo, IF Chung, CN Hsu, YS Lin, ... Genome biology 9 (Suppl 2), 1-19, 2008	405	2008
Classical Probabilistic Models and Conditional Random Fields R Klinger, K Tomanek Algorithm Engineering Report, TR07-2-013, 2007	181	2007
Detection of IUPAC and IUPAC-like chemical names R Klinger, C Kolářik, J Fluck, M Hofmann-Apitius, CM Friedrich Bioinformatics 24 (13), i268-i276, 2008	147	2008
An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews K Buschmeier, P Cimiano, R Klinger WASSA, 42, 2014	117	2014
An analysis of annotated corpora for emotion classification in text LAM Bostan, R Klinger COLING, 2104-2119, 2018	107*	2018
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies E Kim, R Klinger Zeitschrift für Digitale Geisteswissenschaften 4, 2019	83	2019
Assessing state-of-the-art sentiment models on state-of-the-art sentiment datasets J Barnes, R Klinger, SS im Walde WASSA, 2017	82	2017
Annotation, modelling and analysis of fine-grained emotions on a stance and sentiment detection corpus H Schuff, J Barnes, J Mohme, S Padó, R Klinger WASSA, 2017	81	2017
Chemical names: terminological resources and corpora annotation C Kolárik, R Klinger, CM Friedrich, M Hofmann-Apitius, J Fluck BioTxtM at LREC, 51-58, 2008	81	2008
Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers P Thomas, R Klinger, L Furlong, M Hofmann-Apitius, C Friedrich BMC Bioinformatics 12 (Suppl 4), S4, 2011	63	2011
Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions E Kim, R Klinger COLING, 2018	61	2018
IEST: WASSA-2018 Implicit Emotions Shared Task R Klinger, O De Clercq, SM Mohammad, A Balahur WASSA, 2018	53*	2018
Bilingual sentiment embeddings: Joint projection of sentiment across languages J Barnes, R Klinger, S Schulte im Walde ACL, 2018	53	2018
IMS at EmoInt-2017: Emotion intensity prediction with affective norms, automatically extended resources and deep learning M Köper, E Kim, R Klinger WASSA, 2017	53	2017
An empirical evaluation of resources for the identification of diseases and adverse effects in biomedical literature H Gurulingappa, R Klinger, M Hofmann-Apitius, J Fluck BioTxtM at LREC, 2010	46	2010
Investigating the relationship between literary genres and emotional plot development E Kim, S Padó, R Klinger LaTeCH-CLfL, 2017	45	2017
Named entity recognition with combinations of conditional random fields R Klinger, CM Friedrich, J Fluck, M Hofmann-Apitius BioCreative II, 89-91, 2007	45	2007
The USAGE review corpus for fine-grained, multi-lingual opinion analysis R Klinger, P Cimiano LREC, 2014	41	2014
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception L Bostan, E Kim, R Klinger LREC, 2020	39*	2020
An Empirical, Quantitative Analysis of the Differences Between Sarcasm and Irony J Ling, R Klinger ESWC, 203-216, 2016	36	2016

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