Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
89 Publications
2020 | Conference Paper | LibreCat-ID: 15635
Kersting, J., & Geierhos, M. (2020). Neural Learning for Aspect Phrase Extraction and Classification in Sentiment Analysis. In Proceedings of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference (pp. 282--285). North Miami Beach, FL, USA: AAAI.
LibreCat
| Files available
2020 | Conference Paper | LibreCat-ID: 15256
Kersting, J., & Geierhos, M. (2020). What Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service Providers. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (pp. 263--272). Setúbal, Portugal: SCITEPRESS.
LibreCat
| Files available
2019 | Encyclopedia Article | LibreCat-ID: 8312 | 
Bäumer, F. S., & Geierhos, M. (2019). Requirements Engineering in OTF-Computing. In encyclopedia.pub. Basel, Switzerland: MDPI.
LibreCat
| Download (ext.)
2019 | Journal Article | LibreCat-ID: 8424 |
Bäumer, F. S., Kersting, J., & Geierhos, M. (2019). Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches. Computers, 8(1). https://doi.org/10.3390/computers8010022
LibreCat
| Files available
| DOI
| Download (ext.)
2019 | Conference Abstract | LibreCat-ID: 8529 |
Seemann, N., & Merten, M.-L. (2019). UPB-Annotate: Ein maßgeschneidertes Toolkit für historische Texte. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (pp. 352–353). Frankfurt am Main, Germany: Zenodo. https://doi.org/10.5281/ZENODO.2596094
LibreCat
| DOI
| Download (ext.)
2019 | Conference Abstract | LibreCat-ID: 8532 |
Bäumer, F. S., Buff, B., & Geierhos, M. (2019). Potentielle Privatsphäreverletzungen aufdecken und automatisiert sichtbar machen. In P. Sahle (Ed.), DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts (pp. 192–193). Frankfurt am Main, Germany: Zenodo. https://doi.org/10.5281/zenodo.2596095
LibreCat
| DOI
| Download (ext.)
2019 | Conference Paper | LibreCat-ID: 9613
Kersting, J., Bäumer, F. S., & Geierhos, M. (2019). In Reviews We Trust: But Should We? Experiences with Physician Review Websites. In M. Ramachandran, R. Walters, G. Wills, V. Méndez Muñoz, & V. Chang (Eds.), Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (pp. 147–155). Setúbal, Portugal: SCITEPRESS.
LibreCat
| Files available
| Download (ext.)
2019 | Conference Paper | LibreCat-ID: 12946
Bäumer, F. S., & Buff, B. (2019). How to Boost Customer Relationship Management via Web Mining Benefiting from the Glass Customer’s Openness. In Proceedings of the 8th International Conference on Data Science, Technology and Applications. https://doi.org/10.5220/0007828301290136
LibreCat
| DOI
2019 | Bachelorsthesis | LibreCat-ID: 13435
Friesen, E. (2019). Requirements Engineering im OTF-Computing: Informationsextraktion und Unvollständigkeitskompensation mittels domänenspezifischer Wissensbasis. Universität Paderborn.
LibreCat
2018 | Book Chapter | LibreCat-ID: 2322
Bäumer, F. S., & Geierhos, M. (2018). How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges. In M. Silberztein, F. Atigui, E. Kornyshova, E. Métais, & F. Meziane (Eds.), Proceedings of the 23rd International Conference on Natural Language and Information Systems (Vol. 10859, pp. 509–513). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-91947-8_53
LibreCat
| Files available
| DOI