Publications of the BIOfid team
2024
2021
Abrami G.,
Henlein A.,
Lücking A.,
Kett A.,
Adeberg P., and
Mehler A.
Unleashing annotations with TextAnnotator: Multimedia, multi-perspective document views for ubiquitous annotation
2020
Abrami G.,
Stoeckel M., and
Mehler A.
TextAnnotator: A UIMA based tool for simultaneous and collaborative annotation of texts
Driller C.,
Koch M.,
Abrami G.,
Hemati W.,
Lücking A.,
Mehler A.,
Pachzelt A., and
Kasperek G.
Fast and Easy Access to Central European Biodiversity Data with BIOfid
Driller C.,
Koch M.,
Abrami G.,
Stoeckel M.,
Pachzelt A., and
Kasperek G.
Tracing back biodiversity to the 19th century via text mining
Driller C.,
Koch M.,
Abrami G.,
Stoeckel M.,
Pachzelt A., and
Kasperek G.
Mobilising Biodiversity Knowledge By Mining Heritage Literature
Henlein A. and
Mehler A.
On the Influence of Coreference Resolution on Word Embeddings in Lexical-semantic Evaluation Tasks
2019
Abrami G.,
Mehler A.,
Lücking A.,
Rieb E., and
Helfrich P.
TextAnnotator: A flexible framework for semantic annotations
Ahmed S.,
Stoeckel M.,
Driller C.,
Pachzelt A., and
Mehler A.
BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature
Driller C.,
Abrami G.,
Koch M.,
Kasperek G.,
Pachzelt A., and
Mehler A.
Accessing knowledge from legacy biodiversity literature
Driller C.,
Abrami G.,
Stoeckel M.,
Koch M., and
Kasperek G.
Tracing back biodiversity to the 19th century via text mining
Hemati W. and
Mehler A.
CRFVoter: gene and protein related object recognition using a conglomerate of CRF-based tools
Hemati W. and
Mehler A.
LSTMVoter: chemical named entity recognition using a conglomerate of sequence labeling tools
Hemati W.,
Mehler A.,
Uslu T., and
Abrami G.
Der TextImager als Front- und Backend für das verteilte NLP von Big Digital Humanities Data
Koch M.,
Driller C.,
Weiland C., and
Hörnschemeyer T.
Modern information technologies for the study of myriapod biodiversity
Stoeckel M.,
Hemati W., and
Mehler A.
When Specialization Helps: Using Pooled Contextualized Embeddings to Detect Chemical and Biomedical Entities in Spanish
Stoeckel M.,
Hemati W., and
Mehler A.
When Specialization Helps: Using Pooled Contextualized Embeddings to Detect Chemical and Biomedical Entities in Spanish
2018
Abrami G.,
Mehler A.,
Helfrich P., and
Rieb E.
TextAnnotator: A Browser-based Framework for Annotating Textual Data in Digital Humanities
Ahmed S. and
Mehler A.
Resource-Size matters: Improving Neural Named Entity Recognition with Optimized Large Corpora
Driller C.,
Koch M.,
Schmidt M.,
Weiland C.,
Hörnschemeyer T.,
Hickler T.,
Abrami G.,
Ahmed S.,
Gleim R.,
Hemati W.,
Uslu T.,
Mehler A.,
Pachzelt A.,
Rexhepi J.,
Risse T.,
Schuster J.,
Kasperek G., and
Hausinger A.
Workflow and Current Achievements of BIOfid, an Information Service Mobilizing Biodiversity Data from Literature Sources
Helfrich P.,
Rieb E.,
Abrami G.,
Lücking A., and
Mehler A.
TreeAnnotator: Versatile Visual Annotation of Hierarchical Text Relations
Kasperek G. and
Schmidt M.
A Specialised Information Service for Biodiversity Research, involving large-scale data mobilisation by mining German biodiversity literature
Kett A.,
Abrami G.,
Mehler A., and
Spiekermann C.
Resources2City Explorer: A System for Generating Interactive Walkable Virtual Cities out of File Systems
Koch M.,
Driller C.,
Schmidt M.,
Hörnschemeyer T.,
Weiland C.,
I Miko,
Yoder M., and
Hickler T.