Roman Klinger
Roman Klinger
Professor, Institut für Maschinelle Sprachverarbeitung, Uni Stuttgart
Zweryfikowany adres z ims.uni-stuttgart.de - Strona główna
Cytowane przez
Cytowane przez
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
Classical Probabilistic Models and Conditional Random Fields
R Klinger, K Tomanek
Algorithm Engineering Report, TR07-2-013, 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
An analysis of annotated corpora for emotion classification in text
LAM Bostan, R Klinger
COLING, 2104-2119, 2018
An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews
K Buschmeier, P Cimiano, R Klinger
WASSA, 42, 2014
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies
E Kim, R Klinger
Zeitschrift für Digitale Geisteswissenschaften 4, 2019
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
Assessing state-of-the-art sentiment models on state-of-the-art sentiment datasets
J Barnes, R Klinger, SS im Walde
WASSA, 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
Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions
E Kim, R Klinger
COLING, 2018
IEST: WASSA-2018 Implicit Emotions Shared Task
R Klinger, O De Clercq, SM Mohammad, A Balahur
WASSA, 2018
Bilingual sentiment embeddings: Joint projection of sentiment across languages
J Barnes, R Klinger, S Schulte im Walde
ACL, 2018
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
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception
L Bostan, E Kim, R Klinger
LREC, 2020
IMS at EmoInt-2017: Emotion intensity prediction with affective norms, automatically extended resources and deep learning
M Köper, E Kim, R Klinger
WASSA, 2017
Investigating the relationship between literary genres and emotional plot development
E Kim, S Padó, R Klinger
LaTeCH-CLfL, 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
Named entity recognition with combinations of conditional random fields
R Klinger, CM Friedrich, J Fluck, M Hofmann-Apitius
BioCreative II, 89-91, 2007
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to classify emotional relationships of fictional characters
E Kim, R Klinger
NAACL, 2019
An Empirical, Quantitative Analysis of the Differences Between Sarcasm and Irony
J Ling, R Klinger
ESWC, 203-216, 2016
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