Search Results for author: Roland Roller

Found 16 papers, 6 papers with code

Subjective Text Complexity Assessment for German

no code implementations LREC 2022 Laura Seiffe, Fares Kallel, Sebastian Möller, Babak Naderi, Roland Roller

In order to provide suitable text for the target audience, it is necessary to measure its complexity.

xMEN: A Modular Toolkit for Cross-Lingual Medical Entity Normalization

1 code implementation17 Oct 2023 Florian Borchert, Ignacio Llorca, Roland Roller, Bert Arnrich, Matthieu-P. Schapranow

Weakly supervised cross-encoders are effective when no training data is available for the target task.

Factuality Detection using Machine Translation -- a Use Case for German Clinical Text

no code implementations17 Aug 2023 Mohammed Bin Sumait, Aleksandra Gabryszak, Leonhard Hennig, Roland Roller

Factuality can play an important role when automatically processing clinical text, as it makes a difference if particular symptoms are explicitly not present, possibly present, not mentioned, or affirmed.

Machine Translation Translation

When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support

no code implementations27 Apr 2022 Roland Roller, Klemens Budde, Aljoscha Burchardt, Peter Dabrock, Sebastian Möller, Bilgin Osmanodja, Simon Ronicke, David Samhammer, Sven Schmeier

Scientific publications about machine learning in healthcare are often about implementing novel methods and boosting the performance - at least from a computer science perspective.

BIG-bench Machine Learning

SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities

1 code implementation8 Apr 2020 Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig

Recent years showed a strong increase in biomedical sciences and an inherent increase in publication volume.

Cross-lingual Candidate Search for Biomedical Concept Normalization

no code implementations4 May 2018 Roland Roller, Madeleine Kittner, Dirk Weissenborn, Ulf Leser

Biomedical concept normalization links concept mentions in texts to a semantically equivalent concept in a biomedical knowledge base.


Improving distant supervision using inference learning

no code implementations IJCNLP 2015 Roland Roller, Eneko Agirre, Aitor Soroa, Mark Stevenson

Distant supervision is a widely applied approach to automatic training of relation extraction systems and has the advantage that it can generate large amounts of labelled data with minimal effort.

Relation Extraction

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