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Group by: Item Type | Date
Number of items: 6.

Journal article

Dufter, Philipp; Schmitt, Martin and Schütze, Hinrich (September 2022): Position Information in Transformers: An Overview. In: Computational Linguistics, Vol. 48, No. 3: pp. 733-763 [PDF, 1MB]

Evert, Stefan; Heinrich, Philipp; Henselmann, Klaus; Rabenstein, Ulrich; Scherr, Elisabeth; Schmitt, Martin and Schröder, Lutz (2019): Combining Machine Learning and Semantic Features in the Classification of Corporate Disclosures. In: Journal of Logic Language and Information, Vol. 28, No. 2: pp. 309-330

Schmitt, Martin and Schuetze, Hinrich (2019): SherLIiC: A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference. In: 57Th Annual Meeting of the Association for Computational Linguistics (Acl 2019): pp. 902-914

Conference or Workshop Item

Dufter, Philipp; Schmitt, Martin and Schütze, Hinrich (December 2020): Increasing Learning Efficiency of Self-Attention Networks through Direct Position Interactions, Learnable Temperature, and Convoluted Attention. The 28th International Conference on Computational Linguistics, Online, 8. - 13. Dezember 2020. In: [PDF, 395kB]

Schmitt, Martin; Steinheber, Simon and Schreiber, Konrad (October 2018): Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. 2018 Conference on Empirical Methods in Natural Language Processing; EMNLP 2018, Brussels, Belgium, 31. October - 02. November 2018. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Stroudsburg PA: Association for Computational Linguistics. pp. 1109-1114 [PDF, 193kB]

Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin; Fraser, Alexander and Schütze, Hinrich (July 2018): Embedding Learning Through Multilingual Concept Induction. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Melbourne, Australia, July 15-20, 2018. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Vol. 1. Association for Computational Linguistics. pp. 1520-1530 [PDF, 453kB]

This list was generated on Sun Dec 3 06:04:27 2023 CET.