| A Decade of Knowledge Graphs in Natural Language Processing: A Survey P Schneider, T Schopf, J Vladika, M Galkin, E Simperl, F Matthes 2nd Conference of the Asia-Pacific Chapter of the Association for …, 2022 | 54 | 2022 |
| Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches T Schopf, D Braun, F Matthes 6th International Conference on Natural Language Processing and Information …, 2023 | 34 | 2023 |
| PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction T Schopf, S Klimek, F Matthes 14th International Joint Conference on Knowledge Discovery, Knowledge …, 2022 | 33 | 2022 |
| Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics T Schopf, D Braun, F Matthes 17th International Conference on Web Information Systems and Technologies …, 2021 | 27 | 2021 |
| Exploring the Landscape of Natural Language Processing Research T Schopf, K Arabi, F Matthes 14th International Conference on Recent Advances in Natural Language …, 2023 | 6 | 2023 |
| Semantic Label Representations with Lbl2Vec: A Similarity-Based Approach for Unsupervised Text Classification T Schopf, D Braun, F Matthes International Conference on Web Information Systems and Technologies, 59-73, 2023 | 6 | 2023 |
| The Language of Engineering: Training a Domain-Specific Word Embedding Model for Engineering D Braun, O Klymenko, T Schopf, Y Kaan Akan, F Matthes 3rd International Conference on Management Science and Industrial …, 2021 | 6 | 2021 |
| AspectCSE: Sentence Embeddings for Aspect-Based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge T Schopf, E Gerber, M Ostendorff, F Matthes 14th International Conference on Recent Advances in Natural Language …, 2023 | 3 | 2023 |
| Towards Bilingual Word Embedding Models for Engineering: Evaluating Semantic Linking Capabilities of Engineering-Specific Word Embeddings Across Languages T Schopf, P Weinberger, T Kinkeldei, F Matthes 4th International Conference on Management Science and Industrial …, 2022 | 3 | 2022 |
| Efficient Domain Adaptation of Sentence Embeddings Using Adapters T Schopf, D Schneider, F Matthes 14th International Conference on Recent Advances in Natural Language …, 2023 | 2 | 2023 |
| A Knowledge Graph Approach for Exploratory Search in Research Institutions T Schopf, N Machner, F Matthes 15th International Joint Conference on Knowledge Discovery, Knowledge …, 2023 | 1 | 2023 |
| Towards AI Platforms for Stationary Retail T Schopf, K Dresse, F Matthes 5th International Conference on Artificial Intelligence for Industries (AI4I …, 2022 | 1 | 2022 |
| An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry S Meisenbacher, T Schopf, W Yan, P Holl, F Matthes arXiv preprint arXiv:2407.14085, 2024 | | 2024 |
| NLP-KG: A System for Exploratory Search of Scientific Literature in Natural Language Processing T Schopf, F Matthes arXiv preprint arXiv:2406.15294, 2024 | | 2024 |
| Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing P Schneider, T Schopf, J Vladika, F Matthes Informing Possible Future Worlds. Essays in Honour of Ulrich Frank, 2024 | | 2024 |
| Proceedings of 2022 6th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2022) KN Lam, TN Nguyen, J Kalita, T Schopf, D Braun, F Matthes | | |
| 2022 5th International Conference on Artificial Intelligence for Industries (AI4I)| 978-1-6654-5961-7/22/$31.00© 2022 IEEE| DOI: 10.1109/AI4I54798. 2022.00026 T Akhter, PA Bartlau, J Bologna, D Brignac, A Chavez, AC Cruz, ... | | |
| AI4I 2022 AC Cruz, S Magana, L Salento, KC Guyard, M Deriaz, F Persia, D D'Auria, ... | | |
Florian MatthesProfessor of Computer Science, Technische Universität MünchenBestätigte E-Mail-Adresse bei tum.de
