klinger.bib

@inproceedings{Klinger2018x,
  author = {Roman Klinger and Orph\'ee de Clercq and Saif
                  M. Mohammad and Alexandra Balahur},
  title = {IEST: WASSA-2018 Implicit Emotions Shared Task},
  booktitle = {Proceedings of the 9th Workshop on Computational
                  Approaches to Subjectivity, Sentiment and Social
                  Media Analysis},
  year = {2018},
  address = {Brussels, Belgium},
  month = {November},
  organization = {Association for Computational Linguistics},
  pdf = {http://implicitemotions.wassa2018.com/paper/iest-description-2018.pdf},
  url = {https://arxiv.org/abs/1809.01083}
}
@article{Kim2018a,
  author = {Evgeny Kim and Roman Klinger},
  title = {{A Survey on Sentiment and Emotion Analysis for Computational Literary Studies}},
  journal = {ArXiv e-prints},
  archiveprefix = {arXiv},
  eprint = {1808.03137},
  primaryclass = {cs.CL},
  keywords = {Computer Science - Computation and Language},
  year = 2018,
  month = aug,
  note = {preprint},
  url = {https://arxiv.org/abs/1808.03137},
  pdf = {https://arxiv.org/pdf/1808.03137.pdf}
}
@inproceedings{Adel2018,
  author = {Heike Adel and Laura Ana Maria Bostan and Sean Papay and Sebastian Padó and Roman Klinger},
  title = {{DERE}: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations},
  optpages = {},
  year = {2018},
  address = {Brussels, Belgium},
  month = {October, November},
  publisher = {Association for Computational Linguistics},
  note = {accepted},
  pdf = {http://www.romanklinger.de/publications/dere2018.pdf}
}
@inproceedings{Strohm2018,
  author = {Florian Strohm and Roman Klinger},
  title = {An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs},
  booktitle = {The 5th IEEE International Conference on Data Science and Advanced Analytics, Special Track on Sentiment, Emotion, and Credibility of Information in Social Data},
  optpages = {},
  year = {2018},
  series = {DSAA},
  address = {Turin, Italy},
  month = {October},
  organization = {IEEE},
  note = {accepted},
  pdf = {http://www.romanklinger.de/publications/StrohmKlinger-DSAA2018.pdf},
  url = {http://arxiv.org/abs/1808.10653}
}
@inproceedings{Bostan2018,
  author = {Bostan, Laura Ana Maria
		and Klinger, Roman},
  title = {An Analysis of Annotated Corpora for Emotion Classification in Text},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  year = {2018},
  publisher = {Association for Computational Linguistics},
  pages = {2104--2119},
  location = {Santa Fe, New Mexico, USA},
  url = {http://aclweb.org/anthology/C18-1179},
  pdf = {http://aclweb.org/anthology/C18-1179.pdf}
}
@inproceedings{Kim2018,
  author = {Kim, Evgeny
		and Klinger, Roman},
  title = {Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  year = {2018},
  publisher = {Association for Computational Linguistics},
  pages = {1345--1359},
  location = {Santa Fe, New Mexico, USA},
  url = {http://aclweb.org/anthology/C18-1114},
  pdf = {http://aclweb.org/anthology/C18-1114.pdf}
}
@inproceedings{Barnes2018a,
  author = {Barnes, Jeremy
		and Klinger, Roman
		and Schulte im Walde, Sabine},
  title = {Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  year = {2018},
  publisher = {Association for Computational Linguistics},
  pages = {818--830},
  location = {Santa Fe, New Mexico, USA},
  url = {http://aclweb.org/anthology/C18-1070},
  pdf = {https://aclanthology.coli.uni-saarland.de/papers/C18-1070/c18-1070.pdf}
}
@inproceedings{Hartung2018,
  author = {Hartung, Matthias  and  ter Horst, Hendrik  and  Grimm, Frank  and  Diekmann, Tim  and  Klinger, Roman  and  Cimiano, Philipp},
  title = {SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling},
  booktitle = {Proceedings of ACL 2018, System Demonstrations},
  month = {July},
  year = {2018},
  address = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages = {68--73},
  abstract = {Supervised machine learning algorithms require training data whose generation for complex relation extraction tasks tends to be difficult. Being optimized for relation extraction at sentence level, many annotation tools lack in facilitating the annotation of relational structures that are widely spread across the text. This leads to non-intuitive and cumbersome visualizations, making the annotation process unnecessarily time-consuming. We propose SANTO, an easy-to-use, domain-adaptive annotation tool specialized for complex slot filling tasks which may involve problems of cardinality and referential grounding. The web-based architecture enables fast and clearly structured annotation for multiple users in parallel. Relational structures are formulated as templates following the conceptualization of an underlying ontology. Further, import and export procedures of standard formats enable interoperability with external sources and tools.},
  url = {http://www.aclweb.org/anthology/P18-4012},
  pdf = {http://www.aclweb.org/anthology/P18-4012.pdf}
}
@inproceedings{Barnes2018,
  author = {Barnes, Jeremy  and  Klinger, Roman  and  Schulte im Walde, Sabine},
  title = {Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month = {July},
  year = {2018},
  address = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages = {2483--2493},
  abstract = {Sentiment analysis in low-resource languages suffers from a lack of annotated corpora to estimate high-performing models. Machine translation and bilingual word embeddings provide some relief through cross-lingual sentiment approaches. However, they either require large amounts of parallel data or do not sufficiently capture sentiment information. We introduce Bilingual Sentiment Embeddings (BLSE), which jointly represent sentiment information in a source and target language. This model only requires a small bilingual lexicon, a source-language corpus annotated for sentiment, and monolingual word embeddings for each language. We perform experiments on three language combinations (Spanish, Catalan, Basque) for sentence-level cross-lingual sentiment classification and find that our model significantly out- performs state-of-the-art methods on four out of six experimental setups, as well as capturing complementary information to machine translation. Our analysis of the resulting embedding space provides evidence that it represents sentiment information in the resource-poor target language without any annotated data in that language.},
  url = {http://www.aclweb.org/anthology/P18-1231},
  pdf = {http://aclweb.org/anthology/P18-1231.pdf}
}
@article{Kicherer2018,
  author = {Kicherer, Hanna and Dittrich, Marcel and Grebe,
                  Lukas and Scheible, Christian and Klinger, Roman},
  title = {What You Use, Not What You Do: Automatic Classification and Similarity Detection of Recipes},
  journal = {Data and Knowledge Engineering},
  year = {2018},
  note = {in print},
  url = {https://doi.org/10.1016/j.datak.2018.04.004},
  pdf = {http://www.romanklinger.de/publications/kicherer2018preprint.pdf}
}
@inproceedings{Terhorst2018,
  author = {Ter Horst, Hendrik and Matthias Hartung and Roman
                  Klinger and Nicole Brazda and Hans Werner Müller and
                  Philipp Cimiano},
  title = {Assessing the Impact of Single and Pairwise Slot
                  Constraints in a Factor Graph Model for
                  Template-based Information Extraction},
  booktitle = {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},
  year = {2018},
  publisher = {Springer International Publishing},
  address = {Cham},
  url = {https://pub.uni-bielefeld.de/publication/2918981},
  pdf = {http://www.romanklinger.de/publications/terhorst2018.pdf},
  note = { ###bp###}
}
@inproceedings{Thorne2018,
  author = {Camilo Thorne and Roman Klinger},
  title = {On the Semantic Similarity of Disease Mentions in MEDLINE and Twitter},
  booktitle = {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},
  year = {2018},
  publisher = {Springer International Publishing},
  address = {Cham},
  pdf = {http://www.romanklinger.de/publications/thorne2018.pdf}
}
@inproceedings{Barth2018,
  author = {Florian Barth and Evgeny Kim and Sandra Murr and Roman Klinger},
  title = {A Reporting Tool for Relational Visualization and Analysis of Character Mentions in Literature},
  booktitle = {Book of Abstracts -- Digital Humanities im deutschsprachigen Raum},
  year = {2018},
  address = {Cologne, Germany},
  month = {March},
  url = {http://www.romanklinger.de/publications/BarthKimMurrKlinger2018.html},
  pdf = {http://www.romanklinger.de/publications/barth2018dhd.pdf}
}
@inproceedings{Braun2018,
  author = {Manuel Braun and Roman Klinger and Sebastian Pad\'o and Gabriel Viehhauser},
  title = {{Digitale Modellierung von Figurenkomplexität am Beispiel des Parzival von Wolfram von Eschenbach}},
  booktitle = {Book of Abstracts -- Digital Humanities im deutschsprachigen Raum},
  year = {2018},
  address = {Cologne, Germany},
  month = {March},
  url = {http://www.romanklinger.de/publications/BraunKlingerPadoViehhauser2018.html},
  pdf = {http://www.romanklinger.de/publications/viehhauser2018dhd.pdf}
}