Publications

2024

OmniJet-α: The first cross-task foundation model for particle physics

J. Birk, A. Hallin, G. Kasieczka
e-print: 2403.05618

Software Compensation for Highly Granular Calorimeters using Machine Learning

The CALICE Collaboration
e-print: 2403.04632

Classifier Surrogates: Sharing AI-based Searches with the World

S. Bieringer, G. Kasieczka, J. Kieseler, M.Trabs
e-print: 2402.15558

Sets are all you need: Ultrafast jet classification on FPGAs for HL-LHC

P. Odagiu, Z. Que, J. Duarte, J. Haller, G. Kasieczka, A. Lobanov, V. Loncar, W. Luk, J. Ngadiuba, M. Pierini, P. Rincke, A. Seksaria, S. Summers, A. Sznajder, A. Tapper, T. K. Aarrestad
e-print: 2402.01876

Tell me again! A Large-Scale Dataset of Multiple Summaries for the Same Story

Hatzel, H. and Biemann, C.
LREC 2024, Turino, Italy

Coreference in Long Documents using Hierarchical Entity Merging

Gupta, T., Hatzel, H. and Biemann, C.
LaTeCH-CLfL 2024, St. Julians, Malta

Narrativität visualisieren - Eine Rezeptionsstudie zur Evaluation der heuristischen Qualität von Narrativitätsgraphen

Hatzel, H., Stiemer, H., Biemann, C. and Gius, E.
Abstracts of DHd 2024, Passau, Germany

Plan-Based Derivation of General Functional Structures in Product Design

Rosenthal, P.; Demke, N.; Mantwill, F.; Niggemann, O.
7th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), St. Louis, USA

Learning System Descriptions for Cyber-Physical Systems

Diedrich, A.; Moddemann, L.; Niggemann, O.
12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Ferrara, Italy

Discret2Di – Deep Learning based Discretization for Model-based Diagnosis

Moddemann, L.; Steude, H.; Diedrich, A.; Niggemann, O.
12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Ferrara, Italy

Diagnosis driven Anomaly Detection for Cyber-Physical Systems

Steude, H.; Moddemann, L.; Diedrich, A.; Ehrhardt, J.; Niggemann, O.
12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Ferrara, Italy

Bayesian Transfer Learning of Neural Network-Based Interatomic Force Models

Rensmeyer, T.; Großmann, W.; Kramer, D.; Niggemann, O.
The 38th Annual AAAI Conference on Artificial Intelligence | Workshop on AI to Accelerate Science and Engineering, Vancouver, Canada

Morphology-Based Molecular Classification of Spinal Cord Ependymomas Using Deep Neural Networks

Schumann, Y.; Dottermusch, M.; Schweizer, L.; Krech, M.; Lempertz, T.; Schüller, U.; Neumann, P.; Neumann, J.E.
Brain Pathology

2023

Les Houches guide to reusable ML models in LHC analyses

J. Y. Araz, A. Buckley, G. Kasieczka, J. Kieseler, S. Kraml, A. Kvellestad, A. Lessa, T. Procter, A. Raklev, H. Reyes-Gonzalez, K. Rolbiecki, S. Sekmen, G. Unel
e-print: 2312.14575

AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization

S. Bieringer, G. Kasieczka, M. F. Steffen, M. Trabs
e-print: 2312.14027

Residual ANODE

R. Das, G. Kasieczka, D. Shih
e-print: 2312.11629

Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information

J. Birk, E. Buhmann, C. Ewen, G. Kasieczka, D. Shih
e-print: 2312.00123

Machine learning techniques for model-independent searches in dijet final states

P. Harris, W. P. Mccormack, S. E. Park, T. Quadfasel, M. Sommerhalder, L. J. Moureaux, G. Kasieczka, O. Amram, P. Maksimovic, B. Maier, M. Pierini, K. A. Wozniak, T. K. Aarrestad, J. Ngadiuba, I. Zoi, S. K. Bright-Thonney, D. Shih, A. Bal
CERN document server (CDS)

Full Phase Space Resonant Anomaly Detection

E. Buhmann, C. Ewen, G. Kasieczka, V. Mikuni, B. Nachman, D. Shih
e-print: 2310.06897

Statistical guarantees for stochastic Metropolis-Hastings

S. Bieringer, G. Kasieczka, M. F. Steffen, M. Trabs
e-print: 2310.09335

EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion

E. Buhmann, C. Ewen, D. A. Faroughy, T. Golling, G. Kasieczka, M. Leigh, G. Quétant, J. A. Raine, D. Sengupta, D. Shih
e-print: 2310.00049

Back To The Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection

T. Finke, M. Hein, G. Kasieczka, M. Krämer, A. Mück, P. Prangchaikul, T. Quadfasel, D. Shih, M. Sommerhalder
e-print: 2309.13111

Combining Resonant and Tail-based Anomaly Detection

G. Bickendorf, M. Drees, G. Kasieczka, C. Krause, D. Shih
e-print: 2309.12918

CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation

E. Buhmann, F. Gaede, G. Kasieczka, A. Korol, W. Korcari, K. Krüger, P. McKeown
e-print: 2309.05704

The Interplay of Machine Learning-based Resonant Anomaly Detection Methods

T. Golling, G. Kasieczka, C. Krause, R. Mastandrea, B. Nachman, J. A. Raine, D. Sengupta, D. Shih, M. Sommerhalder
e-print: 2307.11157

CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation

E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, W. Korcari, K. Krüger, P. McKeown
JINST 18 P11025

New Angles on Fast Calorimeter Shower Simulation

S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, A. Korol, K. Krüger, P. McKeown, L. Rustige
Mach. Learn.: Sci. Technol. 4 035044

L2LFlows: Generating High-Fidelity 3D Calorimeter Images

S. Diefenbacher, E. Eren, F. Gaede, G. Kasieczka, C. Krause, I. Shekhzadeh, D. Shih
JINST 18 P10017

PeakOTron: A Python Module for Fitting Charge Spectra of Silicon Photomultipliers

J. Rolph, E. Garutti, R. Klanner, T. Quadfasel, J. Schwandt
NIM A, 1056, 168544 (2023)

EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets

E. Buhmann, G. Kasieczka, J. Thaler
SciPostPhys. 15, 130

From Narrativity to Relevance - A Computational Approach Based on Events

Gius, E., Hatzel, H., Stiemer, H., Biemann, C.
IGEL, Monopoli, Italy

IDA - Incel Data Archive: a multimodal comparable corpus for exploring extremist dynamics in online interaction

Anastasi, S., Fischer, T., Schneider, F., Biemann, C.
Proceedings of the 10th International Conference on CMC and Social Media Corpora for the Humanities, University of Mannheim, Germany

Predicting Terms in IS-A Relations with Pre-trained Transformers

Nikishina, I., Chernomorchenko, P., Demidova, A., Panchenko, A., Biemann, C.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Bali, Indonesia

RuCAM: Comparative Argumentative Machine for the Russian Language

Maslova, M., Rebrikov, S., Artsishevski, A., Zaczek, S., Biemann C., Nikishina I.
Proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts (AIST 2023), Yerevan, Armenia

Text augmentation for semantic frame induction and parsing

Anwar, S., Shelmanov, A., Arefyev, N., Panchenko, A., Biemann, C.
Language Resources & Evaluation

Unsupervised Ultra-Fine Entity Typing with Distributionally Induced Word Senses

Sevgili, Ö., Remus, S., Jana, A., Panchenko, A., Biemann, C.
Proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts (AIST), pp. 1–15, Yerevan, Armenia

Cross-Modal Impact of Recent Word Encountering Experience

Liu, J., Gu, J., Feng, C., Shi, W., Biemann, C., & Li, X.
Scientific Studies of Reading

Using Wikidata for Enhancing Compositionality in Pre-trained Language Models

Beloucif, M., Bansal, M., Biemann, C.
Proceedings of Recent Advances in Natural Language Processing, pages 170–178, Varna, Bulgaria

Multi-Modal Learning Application - Support Language Learners with NLP Techniques and Eye-Tracking

Geislinger, R., Pourasad, A. E., Gül, D., Djahangir, D., Yimam, S. M., Remus, S., Biemann, C.
Proceedings of the Linguistic Insights from and for Multimodal Language Processing (LIMO) Workshop co-located with the 19th Conference on Natural Language Processing (KONVENS 2023), pp. 1–6, Ingolstadt, Germany

Multi-Modal Learning Application - Support Language Learners with NLP Techniques and Eye-Tracking

Geislinger, R., Pourasad, A. E., Gül, D., Djahangir, D., Yimam, S. M., Remus, S., Biemann, C.
Proceedings of the Linguistic Insights from and for Multimodal Language Processing (LIMO) Workshop co-located with the 19th Conference on Natural Language Processing (KONVENS 2023), pp. 1–6, Ingolstadt, Germany

From Qualitative to Quantitative Research: Semi-Automatic Annotation Scaling in the Digital Humanities

Petersen-Frey, F., Fischer, T., Schneider, F., Eiser, I., Koch, G., Biemann, C.
KONVENS 2023 Konferenz zur Verarbeitung natürlicher Sprache/Conference on Natural Language Processing, Ingolstadt, Germany

Das Konzept des House of Computing and Data Science als Blaupause zur Digitalisierung der Forschung. Aktuelle Entwicklungen und Perspektiven (an Hochschulen) im Bereich Data Science

Biemann, C., Böhmann, T., Gerling, S., Louis, J., Semmann, M.
Berlin, Germany

DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph

Banerjee D., Arefa, Usbeck R., Biemann C.
22nd International Semantic Web Conference, Athens, Greece

Exploring Amharic Hate Speech Data Collection and Classification Approaches

Ayele A.A., Yimam S.M., Belay T.D., Asfaw T. and Biemann C.
the 14th Conference RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING, Varna, Bulgaria

Multilingual Racial Hate Speech Detection Using Transfer Learning

Ayele A.A., Dinter S.,Yimam S.M. and Biemann C.
the 14th Conference RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING, Varna, Bulgaria

Using Self-Supervised Dual Constraint Contrastive Learning for Cross-modal Retrieval - European Conference on Artificial Intelligence 2023

Wang, X., Li, X., Ding, L., Zhao, S., Biemann, C.
European Conference on Artificial Intelligence 2023

Dimensions of Similarity: Towards Interpretable Dimension-Based Text Similarity - European Conference on Artificial Intelligence 2023

Hatzel, H., Petersen-Frey, F., Fischer, T., Biemann, C.
European Conference on Artificial Intelligence 2023

Machine learning in computational literary studies

Hatzel, H., Stiemer, H., Biemann, C. and Gius, E.
it - Information Technology

Narrative Cloze as a Training Objective: Towards Modeling Stories Using Narrative Chain Embeddings

Hatzel. H. O., Biemann, C.
Proceedings of the 5th Workshop on Narrative Understanding, Toronto, Canada. Association for Computational Linguistics

The D-WISE Tool Suite: Multi-Modal Machine-Learning-Powered Tools Supporting and Enhancing Digital Discourse Analysis.

Schneider, Florian, Fischer, Tim, Petersen-Frey, Fynn, Eiser, Isabel, Koch, Gertraud & Biemann, Chris.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada.

The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing

Banerjee, D., Nair, P. A., Usbeck, R., Biemann, C.
ACL 2023 Findings Short Paper

LT at SemEval-2023 Task 1: Effective Zero-Shot Visual Word Sense Disambiguation Approaches using External Knowledge Sources

Schneider, F. and Biemann, C.
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Toronto, Canada. Association for Computational Linguistics (ACL).

Insight to mechanism of semantic processing of lexicalized and novel compound words: an eye movement study

Wang, J., Yang, J., Biemann, C., Li, X.
Journal of Experimental Psychology: learning, memory and cognition (accepted March 2023)

DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph

Banerjee, D., Awale, S., Usbeck R., Biemann, C.
The 13th International Workshop on Bibliometric-enhanced Information Retrieval @ ECIR 2023, Dublin, Ireland

GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering

Banerjee, D., Nair, P. A., Usbeck R., Biemann, C
The Extended Semantic Web Conference, (ESWC 2023), Hersonissos, Greece

A system for Human-AI collaboration

Banerjee, D., Poser, M., Wiethof, C., Subramanian, V. S., Paucar, R., Bittner, E., Biemann, C.
The AAAI 2023 Workshop on Representation Learning for Responsible Human-Centric AI, Washington DC, USA

CodeAnno: Extending WebAnno with Hierarchical Document Level Annotation and Automation

Schneider, F., Yimam, S.M., Petersen-Frey , F., Biemann, C., von Nordheim, G., Kleinen-von Königslöw, K.
The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), System Demonstrations Track, Dubrovnik, Croatia

ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System

Banerjee, D., Yimam, S.M., Awale, S. and Biemann, C.
The AAAI-23 Workshop on Scientific Document Understanding at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA.

Handlung und Narrativität - Zum Verhältnis von Handlungszusammenfassungen und relevanten Ereignissen

Hatzel. H. O., Gius, E., Stiemer, H., Biemann, C.
Abstracts of DHd 2023: Open Humanities, Open Culture, Luxemburg/Trier.

D-WISE - Digitale Wissensoziologische Diskursanalyse

Fischer, T., Eiser, I., Schneider, F., Petersen-Frey, F., Biemann, C., Koch, G.
Abstracts of DHd 2023: Open Humanities, Open Culture, Luxemburg/Trier.

Open Science Prinzipien und interdisziplinäre Kollaboration in D- WISE: Zwischen Hermeneutik und Digitaler Methode in der Diskursanalyse

Eiser, I., Fischer, T., Schneider, F., Koch, G., Biemann, C., Petersen-Frey, F.
Abstracts of DHd 2023: Open Humanities, Open Culture, Luxemburg/Trier.

KIAAA: An AI Assistant for Teaching Programming in the Field of Automation

Eilermann, S.; Wehmeier, L.; Niggemann, O.; Deuter, A.
IEEE 21st International Conference on Industrial Informatics (INDIN), Lemgo, Germany, pp. 1-7

Integrating Machine Learning into an SMT-based Planning Approach for Production Planning in Cyber-Physical Production Systems

Heesch, R.; Ehrhardt, J.; Niggemann, O.
International Workshop on Hybrid Models for Coupling Deductive and Inductive Reasoning (HYDRA), ECAI 2023 – European Conference on Artificial Intelligence, Krakau, Poland

Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems

Ehrhardt, J.; Heesch, R.; Niggemann, O.
International Workshop on Hybrid Models for Coupling Deductive and Inductive Reasoning (HYDRA), ECAI 2023 – European Conference on Artificial Intelligence, Krakau, Poland

Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study

Windmann, A.; Steude, H.; Niggemann, O.
Workshop of Artificial Intelligence for Time Series Analysis (AI4TS), IJCAI 2023 – International Joint Conference on Artificial Intelligence, Macao, China

Using Reverse Reinforcement Learning for Assembly Tasks

Widulle, N.; Niggemann, O.
PRL Workshop – Bridging the Gap Between AI Planning and Reinforcement Learning, IJCAI 2023 – International Joint Conference on Artificial Intelligence, Macao, China

Using FliPSi to Generate Data for Machine Learning Algorithms

Liebert, A.; Wittke, C.; Ehrhardt, J.; Jaufmann, R.; Widulle, N.; Eilermann, S.; Krantz, M.; Niggemann, O.
IEEE ETFA 2023 – IEEE International Conference on Emerging Technologies and Factory Automation, Siana, Romania

Transformation eines Fähigkeitsmodells in einen PDDL-Planungsansatz

Vieira da Silva, L.M.; Heesch, R.; Köcher, A.; Fay, A.
at-Automatisierungstechnik 71.2, pp. 105-115

Machine Learning for Cyber-Physical Systems

Niggemann, O.; Zimmering, B.; Steude, H.; Augustin, J.L.; Windmann, A.; Multaheb, S.
In: Vogel-Heuser, B.; Wimmer, M. (eds) Digital Transformation. Springer Vieweg, Berlin, Heidelberg

Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling

Jarmatz, P.; Lerdo, S.; Neumann, P.
ICCS

2022

Morphological Classification of Radio Galaxies with wGAN-supported Augmentation

L. Rustige, J. Kummer, F. Griese, K. Borras, M. Brüggen, P. Connor, F. Gaede, G. Kasieczka, T. Knopp, P. Schleper
RAS Techniques and Instruments, Volume 2, Issue 1, January 2023, Pages 264–277

Feature Selection with Distance Correlation

R. Das, G. Kasieczka, D. Shih
e-print: 2212.00046

Resonant anomaly detection without background sculpting

A. Hallin, G. Kasieczka, T. Quadfasel, D. Shih, M. Sommerhalder
Phys. Rev. D 107, 114012

Anomaly Detection under Coordinate Transformations

G. Kasieczka, R. Mastandrea, V. Mikuni, B. Nachman, M. Pettee, D. Shih
Phys. Rev. D 107, 015009

Data Science and Machine Learning in Education

G. Benelli, G. Chachamis, T. Chen, J. Duarte, M. Feickert, M. Graham, L. Gray, D. Hackett, P. Harris, S.-C. Hsu, G. Kasieczka, E. Khoda, M. Komm, M. Liu, M. Neubauer, S. Norberg, A. Perloff, M. Rieger, A. Roy, C. Savard, K. Terao, S. Thais, J.-R. Vlimant,
e-print: 2207.0906

Radio Galaxy Classification with wGAN-Supported Augmentation

K. Borras, M. Brüggen, P. Connor, F. Gaede, F. Griese, G. Kasieczka, J. Kummer, L. Rustige, P. Schleper
INFORMATIK 2022 Workshops, P-326 469-478 (2022), Lecture Notes in Informatics (LNI)

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation

A. Adelmann, W. Hopkins, E. Kourlitis, M. Kagan, G. Kasieczka, C. Krause, V. Mikuni, B. Nachman, K. Pedro, D. Shih, D. Winklehner
e-print: 2203.08806

Machine Learning and LHC Event Generation

A. Butter (ed), T. Plehn (ed), S. Schumann (ed), S. Badger, S. Caron, K. Cranmer, F. A. Di Bello, E. Dreyer, S. Forte, S. Ganguly, D. Gonçalves, E. Gross, T. Heimel, G. Heinrich, L. Heinrich, A. Held, S. Höche, J. N. Howard, P. Ilten, J. Isaacson, T. Janßen, S. Jones, M. Kado, M. Kagan, G. Kasieczka, F. Kling, S. Kraml, C. Krause, F. Krauss, K. Kröninger, R. K. Barman, M. Luchmann, V. Magerya, D. Maitre, B. Malaescu, F. Maltoni, T. Martini, O. Mattelaer, B. Nachman, S. Pitz, J. Rojo, M. Schwartz, D. Shih, F. Siegert, R. Stegeman, B. Stienen, J. Thaler, R. Verheyen, D. Whiteson, R. Winterhalder, J. Zupan
SciPost Phys. 14, 079 (2023)

Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows

A. Butter, S. Diefenbacher, G. Kasieczka, B. Nachman, T. Plehn, D. Shih, R. Winterhalder
SciPost Phys. 13, 087 (2022)

Calomplification -- The Power of Generative Calorimeter Models

S. Bieringer, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, B. Nachman, T. Plehn, M. Trabs
JINST 17 P09028

Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity.

Alaçam, Ö., Ruppert, E., Malhotra, G., Biemann, C., Zarrieß, S
In Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, pages 197–210

Wie man interdisziplinäre Kooperationen zwischen Kommunikationswissenschaft und Informatik gut gestaltet.

Kleinen-von Königslöw, K., Biemann, C.
Aviso - Informationsdienst der Deutschen Gesellschaft für Publizistik- und Kommunikationswissenschaft 2022(2):8-9

Challenges of Amharic Hate Speech Data Annotation Using Yandex Toloka Crowdsourcing Platform

Ayele A.A., Belay T.D., Yimam S.M., Dinter S., Asfaw, T.T., Biemann C.
The Sixth Widening Natural Language Processing Workshop (WiNLP 2022) in conjunction with EMNLP 2022, Abu Dhabi, UAE

The 5Js in Ethiopia: Amharic Hate Speech Data Annotation Using Toloka Crowdsourcing Platform

Ayele A.A., Belay T.D., Asfaw T.T., Dinter S., Yimam S.M., Biemann C.
International Conference on Information and Communication Technology for Development for Africa (ICT4DA 2022), Bahir Dar

Language over Labels: Contrastive Language Supervision Exceeds Purely Label-Supervised Classification Performance on Chest X-Rays

Wiehe A., Schneider F., Blank S., Wang X., Zorn H., Biemann C.
Proc. AACL SRW 2022, Taiwan

Measuring Faithfulness of Abstractive Summaries

Fischer, T., Remus, S., Biemann, C.
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), pages 63-73, Potsdam, Germany

Improved Open Source Automatic Subtitling for Lecture Videos

Geislinger, R., Milde, B., Biemann, C.
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), pages 98–103, Potsdam, Germany

More Like This: Semantic Retrieval with Linguistic Information

Remus S., Wiedemann G., Anwar S., Petersen-Frey F., Yimam S. M., Biemann C.
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), pages 156–166, Potsdam, Germany

Language Models Explain Word Reading Times Better Than Empirical Predictability

Hofmann, M.J., Remus, S., Biemann, C., Radach, R., Kuchinke L.
Frontiers in Artificial Intelligence 2022(4):730570

CWITR: A Corpus for Automatic Complex Word Identification in Turkish Texts

Ilgen, B., Biemann, C.
Proc. International Conference on Natural Language Processing and Information Retrieval (NLPIR 2022), Bangkok, Thailand

Measuring Gender Bias in German Language Generation

Kraft, A., Zorn, H.P., Fecht, P., Simon, J., Biemann, C., Usbeck, R.
Proc. INFORMATIK 2022, Bonn, Germany

Wissensrohstoff Text. Eine Einführung in das Text Mining

Biemann, C., Heyer, G., Quasthoff, U.
Springer Vieweg

D-WISE Tool Suite for the Sociology of Knowledge Approach to Discourse

Koch, G., Biemann, C., Eiser, I., Fischer, T., Schneider, F., Stumpf, T., García, A.T.
Proc. Culture and Computing. HCII 2022. Lecture Notes in Computer Science, vol 13324, Springer, Cham

Question Answering Classification for Amharic Social Media Community Based Questions

Belay, T. D., Yimam S. M., Ayele, A. A., and Biemann, C.
The 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages (SIGUL 2022), Marseille, France

Elvis vs. M. Jackson: Who has More Albums? Classification and Identification of Elements in Comparative Question

Beloucif M., Yimam S.M., Stahlhacke S., Biemann C.
In the 2022 International Conference on Language Resources and Evaluation (LREC 2022), Marseille, France

Classification of German Jungian Extraversion and Introversion Texts with Assessment of Changes during the COVID-19 Pandemic

Johannßen, D., Biemann, C., Scheffer, D.
Proceedings of the LREC22 workshop on Resources and Processing of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive / psychiatric / developmental impairments (RaPID-4)

Modern Baselines for SPARQL Semantic Parsing

Banerjee, D., Nair, P. A., Kaur, J. N., Usbeck, R., Biemann, C.
Proceedings of The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22)

Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus

Schneider, F., and Biemann, C.
Proceedings of The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’22)

Neural entity linking: A survey of models based on deep learning

Sevgili, Ö., Shelmanov, A., Arkhipov, M., Panchenko, A., Biemann, C.
Semantic Web journal, vol. 13, no. 3, pp. 527-570, IOS Press (2022)

Dataset of Student Solutions to Algorithm and Data Structure Programming Assignments

Petersen-Frey, F., Soll, M., Kobras, L., Johannsen, M., Kling, P., Biemann, C.
Proceedings of the 2022 Language Resource and Evaluation Conference (LREC), Marseille, France

MOTIF: Contextualized Images for Complex Words to Improve Human Reading

Wang, X., Schneider, F., Alacam, Ö., Chaudhury, P., Biemann, C.
Proceedings of the 2022 Language Resource and Evaluation Conference (LREC), Marseille, France

Using Distributional Thesaurus To Enhance Transformer-based Contextualized Representations for Low Resource Languages

Venkatesh, G., Jana, A., Remus, S., Sevgili, Ö., Srinivasaraghavan, G., and Biemann, C.
Proceedings of the 37th ACM/SIGAPP Symposium On Applied Computing (SAC)

Hypernymy Detection for Low-Resource Languages: A Study for Hindi, Bengali, and Amharic

Jana, A., Venkatesh, G., Yimam, S. M., and Biemann, C.
ACM Transactions on Asian and Low-Resource Language Information Processing

Learning physically meaningful representations of energy systems with variational autoencoders

Multaheb, S.; Bauer, F.; Bretschneider, P.; Niggemann, O.
27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, Germany, September 6 – 9

Using domain-knowledge to improve machine learning: A survey of recent advances

Rensmeyer, T.; Multaheb, S.; Putzke, J.; Zimmering, B.; Niggemann, O.
atp Magazin 8/2022, Vulkan Verlag

Improving remote material classification ability with thermal imagery

Großmann, W.; Horn, H.; Niggemann, O.
Sci Rep 12, Article 17288

An AI benchmark for Diagnosis, Reconfiguration & Planning

Ehrhardt, Jonas; Ramonat, Malte; Heesch, René; Balzereit, Kaja; Diedrich, Alexander; Niggemann, Oliver
27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2022)

On Residual-based Diagnosis of Physical Systems

Dietrich, Alexander; Niggemann, Oliver
Elsevier Engineering Applications of Artificial Intelligence

Towards Data-Driven Inference of Stencils for Discrete Differential Operators

Schumann, Y.; Neumann, P.
PASC