[PDF][PDF] BioNLP shared task 2013–an overview of the bacteria biotope task

R Bossy, W Golik, Z Ratkovic, P Bessieres… - Proceedings of the …, 2013 - aclanthology.org
This paper presents the Bacteria Biotope task of the BioNLP Shared Task 2013, which
follows BioNLP-ST-11. The Bacteria Biotope task aims to extract the location of bacteria from …

Unsupervised entity and relation extraction from clinical records in Italian

A Alicante, A Corazza, F Isgro, S Silvestri - Computers in biology and …, 2016 - Elsevier
This paper proposes and discusses the use of text mining techniques for the extraction of
information from clinical records written in Italian. However, as it is very difficult and …

An ensemble CNN method for biomedical entity normalization

P Deng, H Chen, M Huang, X Ruan… - Proceedings of the 5th …, 2019 - aclanthology.org
Different representations of the same concept could often be seen in scientific reports and
publications. Entity normalization (or entity linking) is the task to match the different …

Overview of the gene regulation network and the bacteria biotope tasks in BioNLP'13 shared task

R Bossy, W Golik, Z Ratkovic, D Valsamou… - BMC …, 2015 - Springer
Background We present the two Bacteria Track tasks of BioNLP 2013 Shared Task (ST):
Gene Regulation Network (GRN) and Bacteria Biotope (BB). These tasks were previously …

[PDF][PDF] Identification of mentions and relations between bacteria and biotope from pubmed abstracts

C Grouin - Proceedings of the 4th BioNLP Shared Task Workshop, 2016 - aclanthology.org
This paper presents our participation in the Bacteria/Biotope track from the 2016 BioNLP
Shared-Task. Our methods rely on a combination of distinct machinelearning and rule …

[PDF][PDF] DUTIR in BioNLP-ST 2016: utilizing convolutional network and distributed representation to extract complicate relations

H Li, J Zhang, J Wang, H Lin… - Proceedings of the 4th …, 2016 - aclanthology.org
We participate in the two event extraction tasks of BioNLP 2016 Shared Task: binary relation
extraction of SeeDev task and localization relations extraction of Bacteria Biotope task …

Unsupervised information extraction from Italian clinical records

A Alicante, A Corazza, F Isgrò… - Innovation in Medicine …, 2014 - ebooks.iospress.nl
This paper discusses the application of an unsupervised text mining technique for the
extraction of information from clinical records in Italian. The approach includes two steps …

[PDF][PDF] Ontology-based categorization of bacteria and habitat entities using information retrieval techniques

M Tiftikci, H Şahin, B Büyüköz, A Yayıkçı… - Proceedings of the 4th …, 2016 - aclanthology.org
A database which provides information about bacteria and their habitats in a comprehensive
and normalized way is crucial for applied microbiology studies. Having this information …

Detection and categorization of bacteria habitats using shallow linguistic analysis

İ Karadeniz, A Özgür - BMC bioinformatics, 2015 - Springer
Background Information regarding bacteria biotopes is important for several research areas
including health sciences, microbiology, and food processing and preservation. One of the …

BOUN-ISIK participation: an unsupervised approach for the named entity normalization and relation extraction of bacteria biotopes

I Karadeniz, ÖF Tuna, A Özgür - … of the 5th workshop on BioNLP …, 2019 - aclanthology.org
This paper presents our participation to the Bacteria Biotope Task of the BioNLP Shared
Task 2019. Our participation includes two systems for the two subtasks of the Bacteria …