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Evert, Stefan; Heinrich, Philipp; Henselmann, Klaus; Rabenstein, Ulrich; Scherr, Elisabeth; Schmitt, Martin; 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; 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
Dufter, Philipp; Schmitt, Martin; 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, 8. - 13. Dezember 2020, Online. [PDF, 395kB]
Schmitt, Martin; Steinheber, Simon; 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, 31. October - 02. November 2018, Brussels, Belgium. [PDF, 193kB]
Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin; Fraser, Alexander; 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), July 15-20, 2018, Melbourne, Australia. [PDF, 453kB]