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ORCIDLukas Galke
Person information
- affiliation: Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- affiliation: ZBW - Leibniz Information Centre for Economics, Kiel, Germany
- affiliation: University of Kiel, Germany
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2020 – today
- 2024
[j4]Eva Seidlmayer
, Tetyana Melnychuk, Lukas Galke, Lisa Kühnel, Klaus Tochtermann, Carsten Schultz, Konrad U. Förstner:
Research topic displacement and the lack of interdisciplinarity: lessons from the scientific response to COVID-19. Scientometrics 129(9): 5141-5179 (2024)- [j3]Tetyana Melnychuk, Lukas Galke, Eva Seidlmayer, Stefanie Bröring, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz:
Development of Similarity Measures From Graph-Structured Bibliographic Metadata: An Application to Identify Scientific Convergence. IEEE Trans. Engineering Management 71: 9171-9187 (2024) - [c19]Yousef Younes, Lukas Galke, Ansgar Scherp:
RADAr: A Transformer-Based Autoregressive Decoder Architecture for Hierarchical Text Classification. ECAI 2024: 1559-1566 - [i21]Lukas Galke, Limor Raviv:
Emergent communication and learning pressures in language models: a language evolution perspective. CoRR abs/2403.14427 (2024) - [i20]Marcel Hoffmann, Lukas Galke, Ansgar Scherp:
POWN: Prototypical Open-World Node Classification. CoRR abs/2406.09926 (2024) - [i19]Thao Anh Dang, Limor Raviv, Lukas Galke:
Tokenization and Morphology in Multilingual Language Models: A Comparative Analysis of mT5 and ByT5. CoRR abs/2410.11627 (2024) - [i18]Jacob Nielsen, Lukas Galke, Peter Schneider-Kamp:
When are 1.58 bits enough? A Bottom-up Exploration of BitNet Quantization. CoRR abs/2411.05882 (2024) - [i17]Nerijus Bertalis, Paul Granse, Ferhat Gül, Florian Hauss, Leon Menkel, David Schüler, Tom Speier, Lukas Galke, Ansgar Scherp:
Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same Medal. CoRR abs/2411.13687 (2024) - [i16]Andor Diera, Lukas Galke, Ansgar Scherp:
Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search. CoRR abs/2411.17538 (2024) - 2023
- [b1]Lukas Galke:
Representation Learning for Texts and Graphs: A Unified Perspective on Efficiency, Multimodality, and Adaptability. University of Kiel, Germany, 2023 - [j2]Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Marcel Hoffmann, Ansgar Scherp:
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes. Neural Networks 164: 156-176 (2023) - [c18]Marcel Hoffmann, Lukas Galke, Ansgar Scherp:
Open-World Lifelong Graph Learning. IJCNN 2023: 1-9 - [i15]Lukas Galke, Yoav Ram, Limor Raviv:
What makes a language easy to deep-learn? CoRR abs/2302.12239 (2023) - [i14]Marcel Hoffmann, Lukas Galke, Ansgar Scherp:
Open-World Lifelong Graph Learning. CoRR abs/2310.12565 (2023) - [i13]Andor Diera, Abdelhalim Hafedh Dahou, Lukas Galke, Fabian Karl, Florian Sihler, Ansgar Scherp:
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding. CoRR abs/2311.09707 (2023) - 2022
- [j1]Iacopo Vagliano, Lukas Galke, Ansgar Scherp:
Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities. Inf. Retr. J. 25(3): 269-305 (2022) - [c17]Lukas Galke, Ansgar Scherp:
Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP. ACL (1) 2022: 4038-4051 - [c16]Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp:
General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings. IJCNN 2022: 1-10 - [i12]Andor Diera, Bao Xin Lin, Bhakti Khera, Tim Meuser, Tushar Singhal, Lukas Galke, Ansgar Scherp:
Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification. CoRR abs/2204.03954 (2022) - [i11]Lukas Galke, Yoav Ram, Limor Raviv:
Emergent Communication for Understanding Human Language Evolution: What's Missing? CoRR abs/2204.10590 (2022) - 2021
- [c15]Lukas Galke, Eva Seidlmayer, Gavin Lüdemann, Lisa Langnickel, Tetyana Melnychuk, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz:
COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. IEEE BigData 2021: 4350-4355 - [c14]Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp:
Lifelong Learning of Graph Neural Networks for Open-World Node Classification. IJCNN 2021: 1-8 - [i10]Iacopo Vagliano, Lukas Galke, Ansgar Scherp:
Recommendations for Item Set Completion: On the Semantics of Item Co-Occurrence With Data Sparsity, Input Size, and Input Modalities. CoRR abs/2105.04376 (2021) - [i9]Lukas Galke, Ansgar Scherp:
Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification. CoRR abs/2109.03777 (2021) - [i8]Lukas Galke, Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker, Ansgar Scherp:
New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT. CoRR abs/2109.08449 (2021) - [i7]Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, Ansgar Scherp:
Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection. CoRR abs/2112.10558 (2021) - 2020
- [c13]Eva Seidlmayer, Jakob Voß, Tetyana Melnychuk, Lukas Galke, Klaus Tochtermann, Carsten Schultz, Konrad U. Förstner:
ORCID for Wikidata. Data enrichment for scientometric applications. Wikidata@ISWC 2020 - [d2]Lukas Galke, Benedikt Franke, Tobias Zielke, Ansgar Scherp:
Lifelong Learning of Graph Neural Networks for Open-World Node Classification. Zenodo, 2020
- [d1]Florian Mai, Lukas Galke, Ansgar Scherp:
Embeddings from "CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix-Space Model". Zenodo, 2020 - [i6]Lukas Galke, Iacopo Vagliano, Ansgar Scherp:
Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift. CoRR abs/2006.14422 (2020)
2010 – 2019
- 2019
- [c12]Lukas Galke, Tetyana Melnychuk, Eva Seidlmayer, Steffen Trog, Konrad U. Förstner, Carsten Schultz, Klaus Tochtermann:
Inductive Learning of Concept Representations from Library-Scale Bibliographic Corpora. GI-Jahrestagung 2019: 219-232 - [c11]Lukas Galke, Florian Mai, Ansgar Scherp:
What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function? GI-Jahrestagung 2019: 287-288 - [c10]Eva Seidlmayer, Lukas Galke, Tetyana Melnychuk:
Take it Personally - A Python library for data enrichment for infometrical applications. SEMANTiCS (Posters & Demos) 2019 - [c9]Florian Mai, Lukas Galke, Ansgar Scherp:
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. ICLR (Poster) 2019 - [i5]Florian Mai, Lukas Galke, Ansgar Scherp:
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model. CoRR abs/1902.06423 (2019) - [i4]Lukas Galke, Iacopo Vagliano, Ansgar Scherp:
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference. CoRR abs/1905.06018 (2019) - [i3]Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp:
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. CoRR abs/1907.12366 (2019) - 2018
- [c8]Lukas Galke, Gunnar Gerstenkorn, Ansgar Scherp:
A Case Study of Closed-Domain Response Suggestion with Limited Training Data. DEXA Workshops 2018: 218-229 - [c7]Ahmed Saleh, Tilman Beck, Lukas Galke, Ansgar Scherp:
Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents. ICADL 2018: 290-303 - [c6]Anne Lauscher, Kai Eckert, Lukas Galke, Ansgar Scherp, Syed Tahseen Raza Rizvi, Sheraz Ahmed, Andreas Dengel, Philipp Zumstein, Annette Klein:
Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph. JCDL 2018: 109-118 - [c5]Florian Mai, Lukas Galke, Ansgar Scherp:
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text. JCDL 2018: 169-178 - [c4]Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp:
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation. RecSys Challenge 2018: 5:1-5:6 - [c3]Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp:
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels. UMAP 2018: 197-205 - [i2]Florian Mai, Lukas Galke, Ansgar Scherp:
Using Deep Learning For Title-Based Semantic Subject Indexing To Reach Competitive Performance to Full-Text. CoRR abs/1801.06717 (2018) - 2017
- [c2]Lukas Galke, Ahmed Saleh, Ansgar Scherp:
Word Embeddings for Practical Information Retrieval. GI-Jahrestagung 2017: 2155-2167 - [c1]Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp:
Using Titles vs. Full-text as Source for Automated Semantic Document Annotation. K-CAP 2017: 20:1-20:4 - [i1]Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp:
Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles. CoRR abs/1705.05311 (2017)
Coauthor Index
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