@inproceedings{muller-etal-2020-reconstructing,
title = "Reconstructing Manual Information Extraction with {DB}-to-Document Backprojection: Experiments in the Life Science Domain",
author = {M{\"u}ller, Mark-Christoph and
Ghosh, Sucheta and
Rey, Maja and
Wittig, Ulrike and
M{\"u}ller, Wolfgang and
Strube, Michael},
editor = "Chandrasekaran, Muthu Kumar and
de Waard, Anita and
Feigenblat, Guy and
Freitag, Dayne and
Ghosal, Tirthankar and
Hovy, Eduard and
Knoth, Petr and
Konopnicki, David and
Mayr, Philipp and
Patton, Robert M. and
Shmueli-Scheuer, Michal",
booktitle = "Proceedings of the First Workshop on Scholarly Document Processing",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.sdp-1.9",
doi = "10.18653/v1/2020.sdp-1.9",
pages = "81--90",
abstract = "We introduce a novel scientific document processing task for making previously inaccessible information in printed paper documents available to automatic processing. We describe our data set of scanned documents and data records from the biological database SABIO-RK, provide a definition of the task, and report findings from preliminary experiments. Rigorous evaluation proved challenging due to lack of gold-standard data and a difficult notion of correctness. Qualitative inspection of results, however, showed the feasibility and usefulness of the task",
}
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%0 Conference Proceedings
%T Reconstructing Manual Information Extraction with DB-to-Document Backprojection: Experiments in the Life Science Domain
%A Müller, Mark-Christoph
%A Ghosh, Sucheta
%A Rey, Maja
%A Wittig, Ulrike
%A Müller, Wolfgang
%A Strube, Michael
%Y Chandrasekaran, Muthu Kumar
%Y de Waard, Anita
%Y Feigenblat, Guy
%Y Freitag, Dayne
%Y Ghosal, Tirthankar
%Y Hovy, Eduard
%Y Knoth, Petr
%Y Konopnicki, David
%Y Mayr, Philipp
%Y Patton, Robert M.
%Y Shmueli-Scheuer, Michal
%S Proceedings of the First Workshop on Scholarly Document Processing
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F muller-etal-2020-reconstructing
%X We introduce a novel scientific document processing task for making previously inaccessible information in printed paper documents available to automatic processing. We describe our data set of scanned documents and data records from the biological database SABIO-RK, provide a definition of the task, and report findings from preliminary experiments. Rigorous evaluation proved challenging due to lack of gold-standard data and a difficult notion of correctness. Qualitative inspection of results, however, showed the feasibility and usefulness of the task
%R 10.18653/v1/2020.sdp-1.9
%U https://aclanthology.org/2020.sdp-1.9
%U https://doi.org/10.18653/v1/2020.sdp-1.9
%P 81-90
Markdown (Informal)
[Reconstructing Manual Information Extraction with DB-to-Document Backprojection: Experiments in the Life Science Domain](https://aclanthology.org/2020.sdp-1.9) (Müller et al., sdp 2020)
ACL