Publications

[Selected Papers][Complete Bibliography]

[Google Scholar] [PubMed] [SemanticScholar] [dplg] [ACL Anthology] [PUMA Export] [PUMA Export with search]

Emotion Analysis in Social Media and Literature

Roman Klinger, Orphée de Clercq, Saif M. Mohammad, and Alexandra Balahur. IEST: WASAA-2018 Implicit Emotions Shared Task. In Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Brussels, Belgium, November 2018. Association for Computational Linguistics. [ bib | http | .pdf ]

Florian Strohm and Roman Klinger. An empirical analysis of the role of amplifiers, downtoners, and negations in emotion classification in microblogs. In The 5th IEEE International Conference on Data Science and Advanced Analytics, Special Track on Sentiment, Emotion, and Credibility of Information in Social Data, DSAA, Turin, Italy, October 2018. IEEE. [ bib | DOI | http | .pdf ]

Laura Ana Maria Bostan and Roman Klinger. An analysis of annotated corpora for emotion classification in text. In Proceedings of the 27th International Conference on Computational Linguistics, pages 2104--2119. Association for Computational Linguistics, 2018. [ bib | http | .pdf ]

Evgeny Kim and Roman Klinger. Who feels what and why? annotation of a literature corpus with semantic roles of emotions. In Proceedings of the 27th International Conference on Computational Linguistics, pages 1345--1359. Association for Computational Linguistics, 2018. [ bib | http | .pdf ]

Hendrik Schuff, Jeremy Barnes, Julian Mohme, Sebastian Padó, and Roman Klinger. Annotation, modelling and analysis of fine-grained emotions on a stance and sentiment detection corpus. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark, 2017. Workshop at Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics. [ bib | http | .pdf ]

Maximilian Köper, Evgeny Kim, and Roman Klinger. IMS at EmoInt-2017: Emotion intensity prediction with affective norms, automatically extended resources and deep learning. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark, 2017. Workshop at Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics. [ bib | http | .pdf ]

Evgeny Kim, Sebastian Padó, and Roman Klinger. Investigating the relationship between literary genres and emotional plot development. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 17--26, Vancouver, Canada, August 2017. Association for Computational Linguistics. [ bib | http | .pdf ]

Roman Klinger. Does optical character recognition and caption generation improve emotion detection in microblog posts? In Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, and Elisabeth Métais, editors, Natural Language Processing and Information Systems: 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings, pages 313--319, Cham, 2017. Springer International Publishing. [ bib | DOI | http | .pdf ]

Crosslingual and Crossdomain Sentiment Analysis

Jeremy Barnes, Roman Klinger, and Sabine Schulte im Walde. Projecting embeddings for domain adaption: Joint modeling of sentiment analysis in diverse domains. In Proceedings of the 27th International Conference on Computational Linguistics, pages 818--830. Association for Computational Linguistics, 2018. [ bib | http | .pdf ]

Jeremy Barnes, Roman Klinger, and Sabine Schulte im Walde. Bilingual sentiment embeddings: Joint projection of sentiment across languages. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2483--2493, Melbourne, Australia, July 2018. Association for Computational Linguistics. [ bib | http | .pdf ]

Roman Klinger and Philipp Cimiano. Instance selection improves cross-lingual model training for fine-grained sentiment analysis. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 153--163, Beijing, China, July 2015. Association for Computational Linguistics. [ bib | http | .pdf ]

Irony and Sarcasm

Jennifer Ling and Roman Klinger. An empirical, quantitative analysis of the differences between sarcasm and irony. In Harald Sack, Giuseppe Rizzo, Nadine Steinmetz, Dunja Mladenić, Sören Auer, and Christoph Lange, editors, The Semantic Web: ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29 -- June 2, 2016, Revised Selected Papers, pages 203--216. Springer International Publishing, 2016. Best Paper. [ bib | DOI | http | .pdf ]

Konstantin Buschmeier, Philipp Cimiano, and Roman Klinger. An impact analysis of features in a classification approach to irony detection in product reviews. In Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 42--49, Baltimore, Maryland, June 2014. Association for Computational Linguistics. [ bib | http ]

Fine and Coarse-grained Sentiment Models and Resources

Jeremy Barnes, Roman Klinger, and Sabine Schulte im Walde. Assessing state-of-the-art sentiment models on state-of-the-art sentiment datasets. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Copenhagen, Denmark, 2017. Workshop at Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics. [ bib | http | .pdf ]

Mario Sänger, Ulf Leser, Steffen Kemmerer, Peter Adolphs, and Roman Klinger. SCARE ― The Sentiment Corpus of App Reviews with Fine-grained Annotations in German. In Nicoletta Calzolari (Conference Chair), Khalid Choukri, Thierry Declerck, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Paris, France, may 2016. European Language Resources Association (ELRA). [ bib | .html ]

Roman Klinger and Philipp Cimiano. The USAGE review corpus for fine grained multi lingual opinion analysis. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis, editors, Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2211--2218, Reykjavik, Iceland, May 2014. European Language Resources Association (ELRA). ACL Anthology Identifier: L14-1656. [ bib | .pdf ]

Roman Klinger and Philipp Cimiano. Joint and pipeline probabilistic models for fine-grained sentiment analysis: Extracting aspects, subjective phrases and their relations. In 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW), pages 937--944, Dec 2013. [ bib | DOI | .pdf ]

Roman Klinger and Philipp Cimiano. Bi-directional inter-dependencies of subjective expressions and targets and their value for a joint model. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 848--854, Sofia, Bulgaria, August 2013. Association for Computational Linguistics. [ bib | http ]

Bio, Medical, Chemical NLP

Nicole Brazda, Hendrik ter Horst, Matthias Hartung, Cord Wiljes, Veronica Estrada, Roman Klinger, Wolfgang Kuchinke, Hans Werner Müller, and Philipp Cimiano. SCIO: An ontology to support the formalization of pre-clinical spinal cord injury experiments. In Workshop on Ontologies and Data in Life Sciences (ODLS 2017), Joint Workshops on Ontologies (JOWO), Bolzano, Italy, September 2017. [ bib | http | .pdf ]

Hendrik Ter Horst, Matthias Hartung, Roman Klinger, Nicole Brazda, Hans Werner Müller, and Philipp Cimiano. Assessing the impact of single and pairwise slot constraints in a factor graph model for template-based information extraction. In Natural Language Processing and Information Systems: 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Paris, France, June 13-15, 2018, Proceedings, Cham, 2018. Springer International Publishing. Best Paper. [ bib | http | .pdf ]

Camilo Thorne and Roman Klinger. On the semantic similarity of disease mentions in Medline and Twitter. In Natural Language Processing and Information Systems: 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Paris, France, June 13-15, 2018, Proceedings, Cham, 2018. Springer International Publishing. [ bib | .pdf ]

Roman Klinger, Sebastian Riedel, and Andrew McCallum. Inter-event dependencies support event extraction from biomedical literature. In Mining Complex Entities from Network and Biomedical Data (MIND), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2011. [ bib | .pdf ]

Philippe E. Thomas, Roman Klinger, Laura I. Furlong, Martin Hofmann-Apitius, and Christoph M. Friedrich. Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers. BMC Bioinformatics, 12(Suppl 4)(S4), 2011. [ bib | DOI ]

Harsha Gurulingappa, Roman Klinger, Martin Hofmann-Apitius, and Juliane Fluck. An empirical evaluation of resources for the identification of diseases and adverse effects in biomedical literature. In 2nd Workshop on Building and evaluating resources for biomedical text mining (7th edition of the Language Resources and Evaluation Conference), Valetta, Malta, May 2010. [ bib | .pdf ]

Roman Klinger, Corinna Kolářik, Juliane Fluck, Martin Hofmann-Apitius, and Christoph M. Friedrich. Detection of IUPAC and IUPAC-like Chemical Names. Bioinformatics, 24(13):i268--i276, 2008. Proceedings of the International Conference Intelligent Systems for Molecular Biology (ISMB). [ bib | DOI ]

Corinna Kolářik, Roman Klinger, Christoph M. Friedrich, Martin Hofmann-Apitius, and Juliane Fluck. Chemical Names: Terminological Resources and Corpora Annotation. In Workshop on Building and evaluating resources for biomedical text mining (6th edition of the Language Resources and Evaluation Conference), pages 51--58, Marrakech, Morocco, May 2008. [ bib | .pdf ]

Larry Smith, Lorraine K. Tanabe, Rie Johnson nee Ando, Cheng-Ju Juo, I-Fang Chung, Chun-Nan Hsu, Yu-Shi Lin, Roman Klinger, Christoph M. Friedrich, Kuzman Ganchev, Manabu Torii, Hongfang Liu, Barry Haddow, Craig A. Struble, Richard J. Povinelli, Andreas Vlachos, William A. Baumgartner Jr., Lawrence Hunter, Bob Carpenter, Richard Tzong-Han Tsai, Hong jie Dai, Feng Liu, Yifei Chen, Chengjie Sun, Sophia Katrenko, Pieter Adriaans, Christian Blaschke, Rafel Torres Perez, Mariana Neves, Preslav Nakov, Anna Divoli, Manuel Mana, Jacinto Mata-Vazquez, and W. John Wilbur. Overview of biocreative ii gene mention recognition. Genome Biology, 9(Suppl 2):S2.2--S2.18, September 2008. [ bib | DOI | http ]

Relation Extraction and Information Extraction

Heike Adel, Laura Ana Maria Bostan, Sean Papay, Sebastian Padó, and Roman Klinger. DERE: A task and domain-independent slot filling framework for declarative relation extraction. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Brussels, Belgium, October, November 2018. Association for Computational Linguistics. accepted. [ bib | .pdf ]

Roman Klinger and Katrin Tomanek. Classical Probabilistic Models and Conditional Random Fields. Technical Report TR07-2-013, Department of Computer Science, Dortmund University of Technology, December 2007. ISSN 1864-4503, Technical Report. [ bib | .pdf ]

Matthias Hartung, Hendrik ter Horst, Frank Grimm, Tim Diekmann, Roman Klinger, and Philipp Cimiano. Santo: A web-based annotation tool for ontology-driven slot filling. In Proceedings of ACL 2018, System Demonstrations, pages 68--73, Melbourne, Australia, July 2018. Association for Computational Linguistics. [ bib | http | .pdf ]

Christian Scheible, Roman Klinger, and Sebastian Padó. Model architectures for quotation detection. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1736--1745, Berlin, Germany, August 2016. Association for Computational Linguistics. [ bib | .pdf ]