no code implementations • 2 Aug 2021 • Paul Grundmann, Sebastian Arnold, Alexander Löser
Retrieving answer passages from long documents is a complex task requiring semantic understanding of both discourse and document context.
1 code implementation • 3 Feb 2020 • Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser
Our model leverages a dual encoder architecture with hierarchical LSTM layers and multi-task training to encode the position of clinical entities and aspects alongside the document discourse.
3 code implementations • TACL 2019 • Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A. Gers, Alexander Löser
From our extensive evaluation of 20 architectures, we report a highest score of 71. 6% F1 for the segmentation and classification of 30 topics from the English city domain, scored by our SECTOR LSTM model with bloom filter embeddings and bidirectional segmentation.
no code implementations • COLING 2016 • Sebastian Arnold, Robert Dziuba, Alex L{\"o}ser, er
We introduce TASTY (Tag-as-you-type), a novel text editor for interactive entity linking as part of the writing process.
1 code implementation • 24 Aug 2016 • Sebastian Arnold, Felix A. Gers, Torsten Kilias, Alexander Löser
We propose a generic and robust approach for high-recall named entity recognition.