no code implementations • ECNLP (ACL) 2022 • Daniel Braun, Florian Matthes
So-called standard form contracts, i. e. contracts that are drafted unilaterally by one party, like terms and conditions of online shops or terms of services of social networks, are cornerstones of our modern economy.
no code implementations • ACL (NLP4PosImpact) 2021 • Daniel Braun, Florian Matthes
Government and non-government organisations (NGOs) for consumer protection battle such terms on behalf of consumers, who often hesitate to take on legal actions themselves.
1 code implementation • ECNLP (ACL) 2022 • Tobias Schamel, Daniel Braun, Florian Matthes
While content extraction, in general, is a well-researched field and many open source libraries are available, our evaluation shows, that existing solutions cannot extract Terms and Conditions in sufficient quality, mainly because of their special structure.
no code implementations • 3 Nov 2023 • Vitalii Fishchuk, Daniel Braun
Neural text detectors are models trained to detect whether a given text was generated by a language model or written by a human.
no code implementations • 18 Jul 2023 • Daniel Braun, Ashley Suh, Remco Chang, Michael Gleicher, Tatiana von Landesberger
We investigate the ability of individuals to visually validate statistical models in terms of their fit to the data.
no code implementations • 18 Jul 2023 • Daniel Braun, Rita Borgo, Max Sondag, Tatiana von Landesberger
It focuses on four main tasks commonly employed in the analysis of time-series and large value ranges visualization: identification, discrimination, estimation, and trend detection.
no code implementations • 3 Jul 2023 • Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
Large Language Models work quite well with general-purpose data and many tasks in Natural Language Processing.
1 code implementation • 10 Jan 2023 • Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
Conversational search has evolved as a new information retrieval paradigm, marking a shift from traditional search systems towards interactive dialogues with intelligent search agents.
1 code implementation • Natural Legal Language Processing Workshop 2022 • Daniel Braun
Language and its usage change over time.
2 code implementations • 29 Nov 2022 • Tim Schopf, Daniel Braun, Florian Matthes
Text classification of unseen classes is a challenging Natural Language Processing task and is mainly attempted using two different types of approaches.
Ranked #1 on Unsupervised Text Classification on AG News (F1-score metric)
1 code implementation • 12 Oct 2022 • Tim Schopf, Daniel Braun, Florian Matthes
When successively retrieving documents on different predefined topics from publicly available and commonly used datasets, we achieved an average area under the receiver operating characteristic curve value of 0. 95 on one dataset and 0. 92 on another.
Ranked #1 on Unsupervised Text Classification on AG News
no code implementations • 13 Jul 2022 • Daniel Braun, Kerstin Ebell, Vera Schemann, Laura Pelchmann, Susanne Crewell, Rita Borgo, Tatiana von Landesberger
We focus on meteorological data, where the presence of large value ranges is common.
no code implementations • 24 Feb 2022 • Daniel Braun, Olivier Morel, Pascal Vasseur, Cédric Demonceaux
Monocular depth estimation has been a popular area of research for several years, especially since self-supervised networks have shown increasingly good results in bridging the gap with supervised and stereo methods.
no code implementations • 15 Jul 2020 • Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Daniel Braun, Fabrice Meriaudeau
Monocular depth estimation is a recurring subject in the field of computer vision.
no code implementations • 4 May 2020 • Véronique Ventos, Daniel Braun, Colin Deheeger, Jean Pierre Desmoulins, Jean Baptiste Fantun, Swann Legras, Alexis Rimbaud, Céline Rouveirol, Henry Soldano, Solène Thépaut
We address the problem of building a decision model for a specific bidding situation in the game of Bridge.
1 code implementation • LREC 2020 • Kira Klimt, Daniel Braun, Daniela Schneider, Florian Matthes
Language resources for languages other than English are often scarce.
no code implementations • 4 Mar 2020 • Lukas J. Fiderer, Jonas Schuff, Daniel Braun
Quantum metrology promises unprecedented measurement precision but suffers in practice from the limited availability of resources such as the number of probes, their coherence time, or non-classical quantum states.
1 code implementation • WS 2019 • Daniel Braun, Kira Klimt, Daniela Schneider, Florian Matthes
SimpleNLG is a popular open source surface realiser for the English language.
no code implementations • 22 Aug 2019 • Jonas Schuff, Lukas J. Fiderer, Daniel Braun
Recently proposed quantum-chaotic sensors achieve quantum enhancements in measurement precision by applying nonlinear control pulses to the dynamics of the quantum sensor while using classical initial states that are easy to prepare.
no code implementations • 9 Aug 2019 • Jakub Czartowski, Daniel Braun, Karol Życzkowski
The entropy of a quantum operation, defined as the von Neumann entropy of the corresponding Choi-Jamio{\l}kowski state, characterizes the coupling of the principal system with the environment.
Quantum Physics
no code implementations • 22 Oct 2017 • Daniel T. Larsson, Daniel Braun, Panagiotis Tsiotras
In this semi-tutorial paper, we first review the information-theoretic approach to account for the computational costs incurred during the search for optimal actions in a sequential decision-making problem.
no code implementations • WS 2017 • Daniel Braun, Elena Scepankova, Patrick Holl, Florian Matthes
Every time we buy something online, we are confronted with Terms of Services.
1 code implementation • WS 2017 • Daniel Braun, Hern, Adrian ez Mendez, Florian Matthes, Manfred Langen
Conversational interfaces recently gained a lot of attention.
no code implementations • NeurIPS 2012 • Pedro Ortega, Jordi Grau-Moya, Tim Genewein, David Balduzzi, Daniel Braun
We propose a novel Bayesian approach to solve stochastic optimization problems that involve finding extrema of noisy, nonlinear functions.