Benjamin Roth

Benjamin Roth

Universität Wien

H-index: 18

Europe-Austria

About Benjamin Roth

Benjamin Roth, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at Universität Wien, specializes in the field of Natural Language Processing, Machine Learning, Weak Supervision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Specification Overfitting in Artificial Intelligence

Counterfactual Reasoning with Knowledge Graph Embeddings

Text-Guided Image Clustering

ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion

Learning with noisy labels by adaptive gradient-based outlier removal

Cogmemlm: Human-like memory mechanisms improve performance and cognitive plausibility of LLMs

Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)

Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering

Benjamin Roth Information

University

Position

___

Citations(all)

1996

Citations(since 2020)

1121

Cited By

1383

hIndex(all)

18

hIndex(since 2020)

15

i10Index(all)

31

i10Index(since 2020)

22

Email

University Profile Page

Universität Wien

Google Scholar

View Google Scholar Profile

Benjamin Roth Skills & Research Interests

Natural Language Processing

Machine Learning

Weak Supervision

Top articles of Benjamin Roth

Title

Journal

Author(s)

Publication Date

Specification Overfitting in Artificial Intelligence

arXiv preprint arXiv:2403.08425

Benjamin Roth

Pedro Henrique Luz de Araujo

Yuxi Xia

Saskia Kaltenbrunner

Christoph Korab

2024/3/13

Counterfactual Reasoning with Knowledge Graph Embeddings

arXiv preprint arXiv:2403.06936

Lena Zellinger

Andreas Stephan

Benjamin Roth

2024/3/11

Text-Guided Image Clustering

arXiv preprint arXiv:2402.02996

Andreas Stephan

Lukas Miklautz

Kevin Sidak

Jan Philip Wahle

Bela Gipp

...

2024/2/5

ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion

arXiv preprint arXiv:2305.06395

Anastasiia Sedova

Benjamin Roth

2023/5/10

Learning with noisy labels by adaptive gradient-based outlier removal

Anastasiia Sedova

Lena Zellinger

Benjamin Roth

2023/9/17

Cogmemlm: Human-like memory mechanisms improve performance and cognitive plausibility of LLMs

Lukas Thoma

Ivonne Weyers

Erion Çano

Stefan Schweter

Jutta L Mueller

...

2023

Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)

Munir Georges

Aaricia Herygers

Annemarie Friedrich

Benjamin Roth

2023/9

Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering

Matthias Aßenmacher

Lukas Rauch

Jann Goschenhofer

Andreas Stephan

Bernd Bischl

...

2023

Memegraphs: Linking memes to knowledge graphs

Vasiliki Kougia

Simon Fetzel

Thomas Kirchmair

Erion Çano

Sina Moayed Baharlou

...

2023/8/19

Cross-functional Analysis of Generalization in Behavioral Learning

Transactions of the Association for Computational Linguistics

Pedro Henrique Luz de Araujo

Benjamin Roth

2023/8/15

Seeing through the mess: evolutionary dynamics of lexical polysemy

Andreas Baumann

Andreas Stephan

Benjamin Roth

2023/12

Cross-functional Analysis of Generalisation in Behavioural Learning

arXiv preprint arXiv:2305.12951

Pedro Henrique Luz de Araujo

Benjamin Roth

2023/5/22

Functionality learning through specification instructions

arXiv preprint arXiv:2311.08481

Pedro Henrique Luz de Araujo

Benjamin Roth

2023/11/14

ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision

arXiv preprint arXiv:2204.06863

Anastasiia Sedova

Benjamin Roth

2022/4/14

CLUSTERBERT: MULTI-STAGE FINE-TUNING OF TRANSFORMERS FOR DEEP TEXT CLUSTERING

Martin Teuffenbach

Andreas Stephan

Yuxi Xia

Claudia Plant

Benjamin Roth

2022/9/29

Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection

arXiv preprint arXiv:2204.04042

Pedro Henrique Luz de Araujo

Benjamin Roth

2022/4/8

XPASC: Measuring Generalization in Weak Supervision by Explainability and Association

arXiv preprint arXiv:2206.01444

Luisa März

Ehsaneddin Asgari

Fabienne Braune

Franziska Zimmermann

Benjamin Roth

2022/6/3

Topic Segmentation of Research Article Collections

arXiv preprint arXiv:2205.11249

Erion Çano

Benjamin Roth

2022/5/18

Is the Computation of Abstract Sameness Relations Human-Like in Neural Language Models?

arXiv preprint arXiv:2205.06149

Lukas Thoma

Benjamin Roth

2022/5/12

ReInform: Selecting paths with reinforcement learning for contextualized link prediction

arXiv preprint arXiv:2211.10688

Marina Speranskaya

Sameh Methias

Benjamin Roth

2022/11/19

See List of Professors in Benjamin Roth University(Universität Wien)

Co-Authors

H-index: 118
Andrew McCallum

Andrew McCallum

University of Massachusetts Amherst

H-index: 38
Dietrich Klakow

Dietrich Klakow

Universität des Saarlandes

H-index: 19
Emma Strubell

Emma Strubell

Carnegie Mellon University

H-index: 19
Michael Wiegand

Michael Wiegand

Alpen-Adria-Universität Klagenfurt

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