Robert Geislinger


2024

pdf
Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis
Tim Fischer | Florian Schneider | Robert Geislinger | Florian Helfer | Gertraud Koch | Chris Biemann
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)

In this system demonstration paper, we present the Concept Over Time Analysis extension for the Discourse Analysis Tool Suite.The proposed tool empowers users to define, refine, and visualize their concepts of interest within an interactive interface. Adhering to the Human-in-the-loop paradigm, users can give feedback through sentence annotations. Utilizing few-shot sentence classification, the system employs Sentence Transformers to compute representations of sentences and concepts. Through an iterative process involving semantic similarity searches, sentence annotation, and fine-tuning with contrastive data, the model continuously refines, providing users with enhanced analysis outcomes. The final output is a timeline visualization of sentences classified to concepts. Especially suited for the Digital Humanities, Concept Over Time Analysis serves as a valuable tool for qualitative data analysis within extensive datasets. The chronological overview of concepts enables researchers to uncover patterns, trends, and shifts in discourse over time.

2023

pdf bib
Multi-Modal Learning Application – Support Language Learners with NLP Techniques and Eye-Tracking
Robert Geislinger | Ali Ebrahimi Pourasad | Deniz Gül | Daniel Djahangir | Seid Muhie Yimam | Steffen Remus | Chris Biemann
Proceedings of the 1st Workshop on Linguistic Insights from and for Multimodal Language Processing

2022

pdf
Improved Open Source Automatic Subtitling for Lecture Videos
Robert Geislinger | Benjamin Milde | Chris Biemann
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)