Ulla Stenius

Affiliations:
  • Karolinska Institutet, Stockholm, Sweden


According to our database1, Ulla Stenius authored at least 15 papers between 2009 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
<i>BioTriplex</i> : a full-text annotated corpus for fine-tuning language models in gene-disease relation extraction tasks.
Bioinform., 2026

2024
Text mining for contexts and relationships in cancer genomics literature.
Bioinform., 2024

2019
A neural classification method for supporting the creation of BioVerbNet.
J. Biomed. Semant., 2019

LION LBD: a literature-based discovery system for cancer biology.
Bioinform., 2019

2017
Cancer Hallmarks Analytics Tool (CHAT): a text mining approach to organize and evaluate scientific literature on cancer.
Bioinform., 2017

2016
Automatic semantic classification of scientific literature according to the hallmarks of cancer.
Bioinform., 2016

2015
Unsupervised discovery of information structure in biomedical documents.
Bioinform., 2015

2014
CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment.
Proceedings of the COLING 2014, 2014

Improving Literature-Based Discovery with Advanced Text Mining.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2013
Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review.
Bioinform., 2013

2011
A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment.
BMC Bioinform., 2011

Weakly supervised learning of information structure of scientific abstracts - is it accurate enough to benefit real-world tasks in biomedicine?
Bioinform., 2011

2010
Identifying the Information Structure of Scientific Abstracts: An Investigation of Three Different Schemes.
Proceedings of the 2010 Workshop on Biomedical Natural Language Processing, 2010

2009
The first step in the development of text mining technology for cancer risk assessment: identifying and organizing scientific evidence in risk assessment literature.
BMC Bioinform., 2009

User-Driven Development of Text Mining Resources for Cancer Risk Assessment.
Proceedings of the BioNLP Workshop, BioNLP@HLT-NAACL 2009, 2009


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