TY - GEN
AB - Syntactic annotation of corpora in the form of part-of-speech (POS) tags is a key requirement for both linguistic research and subsequent automated natural language processing (NLP) tasks. This problem is commonly tackled using machine learning methods, i.e., by training a POS tagger on a sufficiently large corpus of labeled data.
While the problem of POS tagging can essentially be considered as solved for modern languages, historical corpora turn out to be much more difficult, especially due to the lack of native speakers and sparsity of training data. Moreover, most texts have no sentences as we know them today, nor a common orthography.
These irregularities render the task of automated POS tagging more difficult and error-prone. Under these circumstances, instead of forcing the POS tagger to predict and commit to a single tag, it should be enabled to express its uncertainty. In this paper, we consider POS tagging within the framework of set-valued prediction, which allows the POS tagger to express its uncertainty via predicting a set of candidate POS tags instead of guessing a single one. The goal is to guarantee a high confidence that the correct POS tag is included while keeping the number of candidates small.
In our experimental study, we find that extending state-of-the-art POS taggers to set-valued prediction yields more precise and robust taggings, especially for unknown words, i.e., words not occurring in the training data.
AU - Heid, Stefan Helmut
AU - Wever, Marcel Dominik
AU - Hüllermeier, Eyke
ID - 17605
T2 - Journal of Data Mining and Digital Humanities
TI - Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
ER -
TY - CONF
AU - Jovanovikj, Ivan
AU - Yigitbas, Enes
AU - Sauer, Stefan
AU - Engels, Gregor
ID - 19632
T2 - Proceedings of the 8th International Working Conference on Human-Centered Software Engineering (HCSE'20)
TI - An Augmented and Virtual Reality Object Repository for Rapid Prototyping (to appear)
ER -
TY - CONF
AU - Sharma, Arnab
AU - Wehrheim, Heike
ID - 19656
T2 - Proceedings of the 32th IFIP International Conference on Testing Software and Systems (ICTSS)
TI - Automatic Fairness Testing of Machine Learning Models
ER -
TY - GEN
AU - Zauke, Simon
ID - 19651
TI - Stand der Forschung zu gefälschten Online-Bewertungen - Ein systematischer Literaturüberblick
ER -
TY - JOUR
AB - After the introduction of CbCR – pursuant to the BEPS Project (Action 13) in 2015 –, which was established to reduce the information asymmetry between MNEs and tax authorities of the countries they operate in, now public CbCR – as suggested by the EU Commission in 2016 – is discussed as a next step. Here, the objective is to overcome information asymmetries between MNEs and the general public of the countries they operate in. Starting from the assumption that regulators care about the legitimacy of tax laws, this article evaluates pros and cons of public CbCR. The authors find that from the perspective of information asymmetries, public CbCR increases tax transparency only marginally at best. Accordingly, it is concluded that democracies that are based on the rule of law seem to rely on pillories in terms of public CbCR to enforce fair tax payments.
AU - Sureth-Sloane, Caren
ID - 16486
IS - 2
JF - International Transfer Pricing Journal
TI - Country-by-Country Reporting Goes Public - Cui Bono?
VL - 27
ER -
TY - JOUR
AB - In recent years, the success of the Koopman operator in dynamical systems
analysis has also fueled the development of Koopman operator-based control
frameworks. In order to preserve the relatively low data requirements for an
approximation via Dynamic Mode Decomposition, a quantization approach was
recently proposed in [Peitz & Klus, Automatica 106, 2019]. This way, control
of nonlinear dynamical systems can be realized by means of switched systems
techniques, using only a finite set of autonomous Koopman operator-based
reduced models. These individual systems can be approximated very efficiently
from data. The main idea is to transform a control system into a set of
autonomous systems for which the optimal switching sequence has to be computed.
In this article, we extend these results to continuous control inputs using
relaxation. This way, we combine the advantages of the data efficiency of
approximating a finite set of autonomous systems with continuous controls. We
show that when using the Koopman generator, this relaxation --- realized by
linear interpolation between two operators --- does not introduce any error for
control affine systems. This allows us to control high-dimensional nonlinear
systems using bilinear, low-dimensional surrogate models. The efficiency of the
proposed approach is demonstrated using several examples with increasing
complexity, from the Duffing oscillator to the chaotic fluidic pinball.
AU - Peitz, Sebastian
AU - Otto, Samuel E.
AU - Rowley, Clarence W.
ID - 16309
IS - 3
JF - SIAM Journal on Applied Dynamical Systems
TI - Data-Driven Model Predictive Control using Interpolated Koopman Generators
VL - 19
ER -
TY - CONF
AB - Konferenz aufgrund Covid 19 gecancelt.
Angegebener Monat: September 2020
AU - Büker, Petra
AU - Cornel, Stefanie
AU - Glawe, Katrin
AU - Ogrodowski, Jana
ID - 19721
TI - inklud-e: Professionalität für Inklusion im Lehramtsstudium durch digital unterstützte Fallarbeit entwickeln. Angenommener Beitrag an der DGfE-Sektionstagung Schulpädagogik an der Universität Osnabrück
ER -
TY - GEN
AU - Peckhaus, Volker
ID - 17751
T2 - Staatslexikon der Görres-Gesellschaft
TI - Technikphilosophie
ER -
TY - JOUR
AU - Schöppe, Philipp
AU - Schönherr, Sven
AU - Chugh, Manjusha
AU - Mirhosseini, Hossein
AU - Jackson, Philip
AU - Wuerz, Roland
AU - Ritzer, Maurizio
AU - Johannes, Andreas
AU - Martínez-Criado, Gema
AU - Wisniewski, Wolfgang
AU - Schwarz, Torsten
AU - T. Plass, Christian
AU - Hafermann, Martin
AU - D. Kühne, Thomas
AU - S. Schnohr, Claudia
AU - Ronning, Carsten
ID - 17376
JF - Nano Energy
SN - 2211-2855
TI - Revealing the origin of the beneficial effect of cesium in highly efficient Cu(In,Ga)Se2 solar cells
VL - 71
ER -
TY - THES
AB - Ordinary differential equations (ODEs) and partial differential equations (PDEs) arise
in most scientific disciplines that make use of mathematical techniques. As exact solutions are in general not computable, numerical methods are used to obtain approximate
solutions. In order to draw valid conclusions from numerical computations, it is crucial
to understand which qualitative aspects numerical solutions have in common with the
exact solution. Symplecticity is a subtle notion that is related to a rich family of geometric properties of Hamiltonian systems. While the effects of preserving symplecticity
under discretisation on long-term behaviour of motions is classically well known, in this
thesis
(a) the role of symplecticity for the bifurcation behaviour of solutions to Hamiltonian
boundary value problems is explained. In parameter dependent systems at a bifurcation
point the solution set to a boundary value problem changes qualitatively. Bifurcation
problems are systematically translated into the framework of classical catastrophe theory. It is proved that existing classification results in catastrophe theory apply to
persistent bifurcations of Hamiltonian boundary value problems. Further results for
symmetric settings are derived.
(b) It is proved that to preserve generic bifurcations under discretisation it is necessary and sufficient to preserve the symplectic structure of the problem.
(c) The catastrophe theory framework for Hamiltonian ODEs is extended to PDEs
with variational structure. Recognition equations for A-series singularities for functionals on Banach spaces are derived and used in a numerical example to locate high-codimensional bifurcations.
(d) The potential of symplectic integration for infinite-dimensional Lie-Poisson systems (Burgers’ equation, KdV, fluid equations, . . . ) using Clebsch variables is analysed.
It is shown that the advantages of symplectic integration can outweigh the disadvantages of integrating over a larger phase space introduced by a Clebsch representation.
(e) Finally, the preservation of variational structure of symmetric solutions in multisymplectic PDEs by multisymplectic integrators on the example of (phase-rotating)
travelling waves in the nonlinear wave equation is discussed.
AU - Offen, Christian
ID - 19947
TI - Analysis of Hamiltonian boundary value problems and symplectic integration
ER -
TY - JOUR
AB - As a result of lightweight design, increased use is being made of high-strength steel and aluminium in car bodies. Self-piercing riveting is an established technique for joining these materials. The dissimilar properties of the two materials have led to a number of different rivet geometries in the past. Each rivet geometry fulfils the requirements of the materials within a limited range. In the present investigation, an improved rivet geometry is developed, which permits the reliable joining of two material combinations that could only be joined by two different rivet geometries up until now. Material combination 1 consists of high-strength steel on both sides, while material combination 2 comprises aluminium on the punch side and high-strength steel on the die side. The material flow and the stress and strain conditions prevailing during the joining process are analysed by means of numerical simulation. The rivet geometry is then improved step-by-step on the basis of this analysis. Finally, the improved rivet geometry is manufactured and the findings of the investigation are verified in experimental joining tests.
AU - Uhe, Benedikt
AU - Kuball, Clara-Maria
AU - Merklein, Marion
AU - Meschut, Gerson
ID - 19973
JF - Production Engineering
KW - Self-piercing riveting
KW - Joining technology
KW - Rivet geometry
KW - Multi-material design
KW - High-strength steel
KW - Aluminium
TI - Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints
VL - 14
ER -
TY - GEN
AU - Terfort, Tobias
ID - 18639
TI - Enhancing Security by Usage of Universal One-Way Hash Functions
ER -
TY - CONF
AU - El Baff, Roxanne
AU - Al-Khatib, Khalid
AU - Stein, Benno
AU - Wachsmuth, Henning
ID - 20122
T2 - Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotions in Social Media (PEOPLES 2020)
TI - Persuasiveness of News Editorials depending on Ideology and Personality
ER -
TY - CONF
AU - Heindorf, Stefan
AU - Scholten, Yan
AU - Wachsmuth, Henning
AU - Ngonga Ngomo, Axel-Cyrille
AU - Potthast, Martin
ID - 20141
T2 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2020)
TI - CauseNet: Towards a Causality Graph Extracted from the Web
ER -
TY - CONF
AU - Spliethöver, Maximilian
AU - Wachsmuth, Henning
ID - 20139
T2 - Proceedings of the 7th Workshop on Argument Mining (ArgMining 2020)
TI - Argument from Old Man's View: Assessing Social Bias in Argumentation
ER -
TY - CONF
AB - Joining technology is regarded as a key technology for reducing energy consumption and CO2 imitation as well as the use of innovative materials and development of new, resource-saving products. Punch riveting is a widely used and established joining process in many sectors. The white and brown goods, electrical engineering, construction and, in particular, the automotive industry are some of the sectors mentioned here.
Since the design and assessment of punch rivet components with regard to structural durability can only be carried out experimentally using prototypes due to a lack of experience and calculation concepts, the improvement of this uneconomical and time-consuming procedure is the goal of this contribution.
Therefore, a numerical simulation and design method for cyclically loads punched riveted joints shall be introduced. This concept shall be based on the notch strain concept.
The following steps are necessary to achieve the goal shown above:
Tensile tests on all materials involved in the joint for determination of tensile strength and quasi-static stress-strain curves
Estimation of the cyclic material properties from the tensile strength in order to obtain the strain-life curve and the cyclic stress-strain curve
Estimation of mean stress sensitivity from the tensile strength to conduct an amplitude transformation for variable amplitude loadings.
Execution of a 2D forming simulation of the joining process to determine the geometry and the stresses and degrees of deformation present in the connection
Transferring the results of the forming simulation into a static-mechanical load simulation for determining the relation between the external load and the elastic-plastic strain at the critical point
Estimation of the service life by means of the damage parameter Wöhler curves calculated from the strain-life curve
In order to verify the simulation and calculation method, service life investigations have been carried out on punched riveted components under constant and variable amplitude load.
The test results, as well as the workflow through the fatigue assessment and its accuracy in estimation the fatigue life will be shown in this contribution.
AU - Masendorf, Lukas
AU - Wächter, Michael
AU - Horstmann, Stephan
AU - Otroshi, Mortaza
AU - Esderts, Alfons
AU - Meschut, Gerson
ID - 20146
KW - punch rivet
KW - notch strain conept
KW - structural durability
SN - 978-3-9820591-0-5
TI - Linear damage accumulation of self-pierce riveted joints
ER -
TY - CONF
AU - Castenow, Jannik
AU - Kling, Peter
AU - Knollmann, Till
AU - Meyer auf der Heide, Friedhelm
ID - 17371
SN - 9781450369350
T2 - Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures
TI - Brief Announcement: A Discrete and Continuous Study of the Max-Chain-Formation Problem: Slow Down to Speed up
ER -
TY - GEN
AB - In many real-world applications, the relative depth of objects in an image is
crucial for scene understanding, e.g., to calculate occlusions in augmented
reality scenes. Predicting depth in monocular images has recently been tackled
using machine learning methods, mainly by treating the problem as a regression
task. Yet, being interested in an order relation in the first place,
ranking methods suggest themselves as a natural alternative to regression, and
indeed, ranking approaches leveraging pairwise comparisons as training
information ("object A is closer to the camera than B") have shown promising
performance on this problem. In this paper, we elaborate on the use of
so-called \emph{listwise} ranking as a generalization of the pairwise approach.
Listwise ranking goes beyond pairwise comparisons between objects and considers
rankings of arbitrary length as training information. Our approach is based on
the Plackett-Luce model, a probability distribution on rankings, which we
combine with a state-of-the-art neural network architecture and a sampling
strategy to reduce training complexity. An empirical evaluation on benchmark
data in a "zero-shot" setting demonstrates the effectiveness of our proposal
compared to existing ranking and regression methods.
AU - Lienen, Julian
AU - Hüllermeier, Eyke
ID - 20211
T2 - arXiv:2010.13118
TI - Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce model
ER -
TY - JOUR
AU - Heyser, Per
AU - Sartisson, Vadim
AU - Meschut, Gerson
AU - Droß, Marcel
AU - Dröder, Klaus
ID - 20235
JF - Materials Testing
SN - 0025-5300
TI - Increased load bearing capacity of mechanically joined FRP/metal joints using a pin structured auxiliary joining element
ER -
TY - GEN
ED - Ahrendt, Wolfgang
ED - Wehrheim, Heike
ID - 20278
SN - 978-3-030-50994-1
TI - Tests and Proofs - 14th International Conference, TAP@STAF 2020, Bergen, Norway, June 22-23, 2020, Proceedings [postponed]
VL - 12165
ER -