Staff

Journal article

Pfeifenberger, Regina, and Wolfgang Otto. 2021. "„Ich habe mich noch nicht mit Pollux beschäftigt“: eine Zufriedenheits- und Bedarfsanalyse des Fachinformationsdienstes Politikwissenschaft." o-bib. Das offene Bibliotheksjournal 8 (1): 1-14. doi: https://doi.org/10.5282/o-bib/5680.

Schardelmann, Tim, and Wolfgang Otto. 2018. "POLLUX – von der Bedarfsanalyse zur technischen Umsetzung." Bibliotheksdienst 2018 (52, 3-4): 225-234. doi: https://doi.org/10.1515/bd-2018-0029.

Chapter in an edited book

Otto, Wolfgang, Matthäus Zloch, Lu Gan, Dr. Saurav Karmakar, and Stefan Dietze. 2023. "GSAP-NER: A Novel Task, Corpus, and Baseline for Scholarly Entity Extraction Focused on Machine Learning Models and Datasets." In Findings of the Association for Computational Linguistics: EMNLP 2023, edited by Houda Bouamor, Juan Pino, and Kalika Bali, 8166-8176. Singapore: Association for Computational Linguistics. https://aclanthology.org/2023.findings-emnlp.548.

Otto, Wolfgang, Andrea Zielinski, Behnam Ghavimi, Dimitar Dimitrov, Narges Tavakolpoursaleh, Karam Abdulahhad, Katarina Boland, and Stefan Dietze. 2020. "Knowledge extraction from scholarly publications: The GESIS contribution to the rich context competition." In Rich search and discovery for research datasets, edited by Julia Lane, Ian Mulvany, and Paco Nathan, 107-127. Los Angeles u.a.: Sage. https://study.sagepub.com/richcontext.

Ghavimi, Behnam, Wolfgang Otto, and Philipp Mayr. 2019. "An evaluation of the effect of reference strings and segmentation on citation matching." In Digital Libraries for Open Knowledge : 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Oslo, Norway, September 9-12, 2019, Proceedings, edited by Antoine Doucet, Antoine Isaac, Koraljka Golub, Trond Aalberg, and Adam Jatowt, Lecture Notes in Computer Science 11799, 365-369. Cham: Springer. doi: https://doi.org/10.1007/978-3-030-30760-8_35.

Piryani, Rajesh, Wolfgang Otto, Philipp Mayr, and Vivek Kumar Singh. 2019. "Analysing author name mentions in citation contexts of highly cited publications." In Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019), edited by Muthu Kumar Chandrasekaran, and Philipp Mayr, 145–152. Aachen: RWTH. http://ceur-ws.org/Vol-2414/paper16.pdf.

Otto, Wolfgang, Behnam Ghavimi, Philipp Mayr, Rajesh Piryani, and Vivek Kumar Singh. 2019. "Highly cited references in PLOS ONE and their in-text usage over time." In Proceedings of the 17th International Conference on Scientometrics & Informetrics (ISSI 2019), edited by Giuseppe Catalano, Cinzia Daraio, Martina Gregori, Henk F. Moed, and Giancarlo Ruocco, 1531-1536. Rom: Edizioni Efesto. https://arxiv.org/ftp/arxiv/papers/1903/1903.11693.pdf.

Otto, Wolfgang. 2018. "Team GESIS Cologne: An all in all sentence-based approach for FEVER." In Proceedings of the First Workshop on Fact Extraction and VERification (FEVER) - EMNLP 2018, 145–149. Stroudsburg: Association for Computational Linguistics (ACL). http://aclweb.org/anthology/W18-5524.

Monograph

Steinweg, Nina, Lisa Roland, Kristin Poggenburg, Heike Strohmann, Wolfgang Otto, Christine Abraham, Theresa Schumacher, and Lucas Jungbluth. 2023. Bestandsaufnahme und Handlungsempfehlungen zur Qualitätssicherung von Gleichstellungsmaßnahmen in der Wissenschaft: Ergebnisse aus dem Projekt StaRQ. CEWSpublik 27. Köln: GESIS. https://nbn-resolving.org/urn:nbn:de:0168-ssoar-85368-1.

Presentation at a conference

Steinweg, Nina, and Wolfgang Otto. 2021. "Big Data and Gender Equality - New Tools for the Analysis of Appointment Procedures in Higher Education Institutions." XI European Conference on Gender Equality in Higher Education, Online, 2021-09-15.

Otto, Wolfgang. 2021. "Pollux: Praxisgespräch zu Textkorpora in der Politikwissenschaft." DVPW Kongress 2021, Online, 2021-09-16.

Otto, Wolfgang. 2019. "Finding Datasets in scientific publications: The GESIS contribution at the Rich Context Competition." Indo-German Workshop on Information Retrieval, Informetrics & Scientometrics (IRIS) , GESIS - Leibniz-Institut für Sozialwissenschaften, Köln, 2019-06-11. https://sites.google.com/site/iris2019info/speakers.