Lukas Galke
Orcid: 0000-0001-6124-1092Affiliations:
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- ZBW - Leibniz Information Centre for Economics, Kiel, Germany
- University of Kiel, Germany
According to our database1,
Lukas Galke
authored at least 38 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Research topic displacement and the lack of interdisciplinarity: lessons from the scientific response to COVID-19.
Scientometrics, September, 2024
Development of Similarity Measures From Graph-Structured Bibliographic Metadata: An Application to Identify Scientific Convergence.
IEEE Trans. Engineering Management, 2024
Emergent communication and learning pressures in language models: a language evolution perspective.
CoRR, 2024
RADAr: A Transformer-Based Autoregressive Decoder Architecture for Hierarchical Text Classification.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes.
Neural Networks, July, 2023
Representation Learning for Texts and Graphs: A Unified Perspective on Efficiency, Multimodality, and Adaptability.
PhD thesis, 2023
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Recommendations for item set completion: on the semantics of item co-occurrence with data sparsity, input size, and input modalities.
Inf. Retr. J., 2022
CoRR, 2022
Bag-of-Words vs. Sequence vs. Graph vs. Hierarchy for Single- and Multi-Label Text Classification.
CoRR, 2022
General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings.
Proceedings of the International Joint Conference on Neural Networks, 2022
Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Lifelong Learning in Evolving Graphs with Limited Labeled Data and Unseen Class Detection.
CoRR, 2021
New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT.
CoRR, 2021
Forget me not: A Gentle Reminder to Mind the Simple Multi-Layer Perceptron Baseline for Text Classification.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Embeddings from "CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix-Space Model".
Dataset, July, 2020
Dataset, April, 2020
Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift.
CoRR, 2020
Proceedings of the 1st Wikidata Workshop (Wikidata 2020) co-located with 19th International Semantic Web Conference(OPub 2020), 2020
2019
CoRR, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Take it Personally - A Python library for data enrichment for infometrical applications.
Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th - to, 2019
Inductive Learning of Concept Representations from Library-Scale Bibliographic Corpora.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019
What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function?
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019
2018
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Proceedings of the ACM Recommender Systems Challenge, 2018
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018
Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018
Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents.
Proceedings of the Maturity and Innovation in Digital Libraries, 2018
Proceedings of the Database and Expert Systems Applications, 2018
2017
Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles.
CoRR, 2017
Proceedings of the Knowledge Capture Conference, 2017
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017