Daniel Braun

Daniel Braun

Technische Universität München

H-index: 11

Europe-Germany

About Daniel Braun

Daniel Braun, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Natural Language Processing, Natural Language Generation, Artificial Intelligence, Legal Tech.

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

Investigating conversational search behavior for domain exploration

Efficient Black-Box Adversarial Attacks on Neural Text Detectors

Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them

I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets

Students' Perspective on AI-Supported Assessment of Open-Ended Questions in Higher Education.

Clause topic classification in German and English standard form contracts

Evaluating unsupervised text classification: zero-shot and similarity-based approaches

Tracking Semantic Shifts in German Court Decisions with Diachronic Word Embeddings

Daniel Braun Information

University

Position

Research Associate

Citations(all)

574

Citations(since 2020)

514

Cited By

239

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Technische Universität München

Google Scholar

View Google Scholar Profile

Daniel Braun Skills & Research Interests

Natural Language Processing

Natural Language Generation

Artificial Intelligence

Legal Tech

Top articles of Daniel Braun

Title

Journal

Author(s)

Publication Date

Investigating conversational search behavior for domain exploration

Phillip Schneider

Anum Afzal

Juraj Vladika

Daniel Braun

Florian Matthes

2023/3/17

Efficient Black-Box Adversarial Attacks on Neural Text Detectors

arXiv preprint arXiv:2311.01873

Vitalii Fishchuk

Daniel Braun

2023/11/3

Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them

arXiv preprint arXiv:2307.00963

Anum Afzal

Juraj Vladika

Daniel Braun

Florian Matthes

2023/7/3

I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets

Artificial Intelligence and Law

Daniel Braun

2023/6/27

Students' Perspective on AI-Supported Assessment of Open-Ended Questions in Higher Education.

Daniel Braun

Patricia Rogetzer

Eva Stoica

Henry Kurzhals

2023/4/23

Clause topic classification in German and English standard form contracts

Daniel Braun

Florian Matthes

2022/5

Evaluating unsupervised text classification: zero-shot and similarity-based approaches

Tim Schopf

Daniel Braun

Florian Matthes

2022/12/16

Tracking Semantic Shifts in German Court Decisions with Diachronic Word Embeddings

Daniel Braun

2022/12

Lbl2vec: An embedding-based approach for unsupervised document retrieval on predefined topics

arXiv preprint arXiv:2210.06023

Tim Schopf

Daniel Braun

Florian Matthes

2022/10/12

Structured extraction of terms and conditions from German and English online shops

Tobias Schamel

Daniel Braun

Florian Matthes

2022/5

NLP for consumer protection: Battling illegal clauses in German terms and conditions in online shopping

Daniel Braun

Florian Matthes

2021/8

Automated Semantic Analysis, Legal Assessment, and Summarization of Standard Form Contracts

Daniel Braun

2021

Muclex: A german lexicon for surface realisation

Kira Klimt

Daniel Braun

Daniela Schneider

Florian Matthes

2020/5

Would you lie to me bot? supporting decision-making processes with deceiving virtual agents

Procedia Computer Science

Daniel Braun

Manoj Bhat

Andreas Biesdorf

Florian Matthes

2020/1/1

Automatic Text Summarization: A State-of-the-Art Review.

Oleksandra Klymenko

Daniel Braun

Florian Matthes

2020

User-adaptable Natural Language Generation for Regression Testing within the Finance Domain.

Daniel Braun

Anupama Sajwan

Florian Matthes

2020

Automatic Detection of Terms and Conditions in German and English Online Shops.

Daniel Braun

Florian Matthes

2020/11/16

Semantic label representations with lbl2vec: A similarity-based approach for unsupervised text classification

Tim Schopf

Daniel Braun

Florian Matthes

2020/11/3

See List of Professors in Daniel Braun University(Technische Universität München)

Co-Authors

H-index: 58
Ehud Reiter

Ehud Reiter

University of Aberdeen

H-index: 45
Florian Matthes

Florian Matthes

Technische Universität München

H-index: 16
Bernhard Waltl

Bernhard Waltl

Technische Universität München

H-index: 8
Adrian Hernandez-Mendez

Adrian Hernandez-Mendez

Technische Universität München

H-index: 8
Anne Faber

Anne Faber

Technische Universität München

H-index: 5
Patricia Rogetzer

Patricia Rogetzer

Universiteit Twente

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