Julia Romberg

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Active Learning

Top Venues

ArgMining@EMNLP

Grundlagen von Datenbanken

BTW (Workshops)

Publications

Julia Romberg, Tobias Escher
Making Sense of Citizens' Input through Artificial Intelligence: A Review of Methods for Computational Text Analysis to Support the Evaluation of Contributions in Public Participation. Digit. Gov. Res. Pract. 5 (1) (2024)
Philipp Heinisch, Matthias Orlikowski, Julia Romberg, Philipp Cimiano
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives! EMNLP (2023)
Julia Romberg
Mind the User! Measures to More Accurately Evaluate the Practical Value of Active Learning Strategies. RANLP (2023)
Philipp Heinisch, Matthias Orlikowski, Julia Romberg, Philipp Cimiano
Architectural Sweet Spots for Modeling Human Label Variation by the Example of Argument Quality: It's Best to Relate Perspectives! CoRR (2023)
Mohammad Soltani, Julia Romberg
A General Framework for Multimodal Argument Persuasiveness Classification of Tweets. ArgMining@EMNLP (2023)
Julia Romberg, Laura Mark, Tobias Escher
A Corpus of German Citizen Contributions in Mobility Planning: Supporting Evaluation Through Multidimensional Classification. LREC (2022)
Julia Romberg
Is Your Perspective Also My Perspective? Enriching Prediction with Subjectivity. ArgMining@COLING (2022)
Julia Romberg, Tobias Escher
Automated Topic Categorisation of Citizens' Contributions: Reducing Manual Labelling Efforts Through Active Learning. EGOV (2022)
Julia Romberg, Stefan Conrad
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions? ArgMining@EMNLP (2021)
Julia Romberg, Jan Dyczmons, Sandra Olivia Borgmann, Jana Sommer, Markus Vomhof, Cecilia Brunoni, Ismael Bruck-Ramisch, Luis Enders, Andrea Icks, Stefan Conrad
Annotating Patient Information Needs in Online Diabetes Forums. SMM4H@COLING (2020)
Alexander Oberstraß, Julia Romberg, Anke Stoll, Stefan Conrad
HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo. SemEval@NAACL-HLT (2019)
Julia Romberg
GDWDS: First Insights from a Student-based Key Phrase Annotation Process of Medical Information Needs on a Novel German Diabetes Web Data Set. Grundlagen von Datenbanken (2018)
Julia Romberg
Comparing Relevance Feedback Techniques on German News Articles. BTW (Workshops) (2017)
Tobias Cabanski, Julia Romberg, Stefan Conrad
HHU at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Data using Machine Learning Methods. SemEval@ACL (2017)
Julia Romberg
Actor Identification and Relevance Filtering in Movie Reviews. GvD (2016)