Steffen Bickel


2018

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Chargrid: Towards Understanding 2D Documents
Anoop R Katti | Christian Reisswig | Cordula Guder | Sebastian Brarda | Steffen Bickel | Johannes Höhne | Jean Baptiste Faddoul
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

We introduce a novel type of text representation that preserves the 2D layout of a document. This is achieved by encoding each document page as a two-dimensional grid of characters. Based on this representation, we present a generic document understanding pipeline for structured documents. This pipeline makes use of a fully convolutional encoder-decoder network that predicts a segmentation mask and bounding boxes. We demonstrate its capabilities on an information extraction task from invoices and show that it significantly outperforms approaches based on sequential text or document images.

2005

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Predicting Sentences using N-Gram Language Models
Steffen Bickel | Peter Haider | Tobias Scheffer
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing