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<i>Verbundprojekt: Smart Data Web : zusammenfassender Abschlussbericht : Vorhaben: Verbundprojekt SDW Smart Data Web</i>, , , , , , , , , and 9 other author(s). Kaiserslautern, (05 submitted)Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction., , and . CoRR, (2020)A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products., , , and . CoRR, (2020)Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling., , , , , and . LREC, page 6680-6689. European Language Resources Association, (2020)A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition., , , , and . RepL4NLP@ACL, page 46-59. Association for Computational Linguistics, (2022)SIA: a scalable interoperable annotation server for biomedical named entities., , , and . J. Cheminformatics, 10 (1): 63:1-63:7 (2018)Confidence estimation of classification based on the distribution of the neural network output layer., , and . CoRR, (2022)Constructing Natural Language Explanations via Saliency Map Verbalization., , , , , and . CoRR, (2022)Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction., , and . ACL (1), page 1388-1398. Association for Computational Linguistics, (2019)Probing Linguistic Features of Sentence-Level Representations in Relation Extraction., , and . ACL, page 1534-1545. Association for Computational Linguistics, (2020)