Univ.-Prof. Dr. -Ing. Benjamin Roth, B.Sc. M.Sc.
1090 Wien
Raum : 05.17
Lehrveranstaltungen
Wintersemester 2026
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051080 LP Softwarepraktikum mit Bachelorarbeit
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053021 LP Praktikum Informatik 1
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053031 LP Praktikum Informatik 2
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053049 SE Masterseminar
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136041 SE Explainability for LLMs
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
Sommersemester 2026
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053049 SE Masterseminar
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053640 SE Master's Seminar
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
Wintersemester 2025
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053021 LP Praktikum Informatik 1
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053049 SE Masterseminar
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053631 LP Data Analysis Project
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136041 SE Explainability for LLMs
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
Publikationen
Knodle: Modular Weakly Supervised Learning with PyTorch. / Sedova, Anastasiia; Stephan, Andreas; Speranskaya, Marina et al.
The 6th Workshop on Representation Learning for NLP - proceedings of the workshop : August 6, 2021, Bangkok, Thailand (online) : RepL4NLP 2021. Hrsg. / Anna Rogers. Stroudsburg, PA: Association for Computational Linguistics (ACL), 2021. S. 100-111.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Ranking vs. classifying: Measuring knowledge base completion quality. / Speranskaya, Marina; Schmitt, Martin; Roth, Benjamin.
2021. Beitrag in Automated Knowledge Base Construction.
Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed
Python for Linguists: Python for Linguists. By Michael Hammond ( University of Arizona). Cambridge University Press, 2020, 310 pp; paperback, ISBN 9781108737074. / Roth, Benjamin; Wiegand, Michael.
in: Computational Linguistics, Band 47, Nr. 1, 2021, S. 217-220.
Veröffentlichungen: Anderer Beitrag in Periodikum › Rezension
Projekte
Active Learning with Large Language Models for Cross-lingual Pseudo-labeling in Computational Social Science
Understanding Language in Context
Erkennung Impliziter Beleidigungen
Knowledge-infused Deep Learning for Natural Language Processing
Vorträge
Statistics chatbots in academia: Mapping psychology students’ conversations with a large language model (LLM)
From Calculation to Adjudication: Examining LLM Judges on Mathematical Reasoning Tasks
Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency
Functionality learning through specification instructions
Text-Guided Image Clustering
MemeGraphs: Linking memes to knowledge graphs
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
Focused Contrastive Training for Test-based Constituency Analysis
Knodle: Modular Weakly Supervised Learning with PyTorch
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