Ulla Stenius

According to our database, Ulla Stenius authored at least 13 papers between 2009 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

A neural classification method for supporting the creation of BioVerbNet.

Billy Chiu, Olga Majewska, Sampo Pyysalo, Laura Wey, Ulla Stenius, Anna Korhonen, Martha Palmer

J. Biomed. Semant., 2019

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

Sampo Pyysalo, Simon Baker, Imran Ali, Stefan Haselwimmer, Tejas Shah, Andrew Young, Yufan Guo, Johan Högberg, Ulla Stenius, Masashi Narita, Anna Korhonen

Bioinform., 2019

2017

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

Simon Baker, Imran Ali, Ilona Silins, Sampo Pyysalo, Yufan Guo, Johan Högberg, Ulla Stenius, Anna Korhonen

Bioinform., 2017

2016

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

Simon Baker, Ilona Silins, Yufan Guo, Imran Ali, Johan Högberg, Ulla Stenius, Anna Korhonen

Bioinform., 2016

2015

Unsupervised discovery of information structure in biomedical documents.

Douwe Kiela, Yufan Guo, Ulla Stenius, Anna Korhonen

Bioinform., 2015

2014

CRAB 2.0: A text mining tool for supporting literature review in chemical cancer risk assessment.

Yufan Guo, Diarmuid Ó Séaghdha, Ilona Silins, Lin Sun, Johan Högberg, Ulla Stenius, Anna Korhonen

Proceedings of the COLING 2014, 2014

Improving Literature-Based Discovery with Advanced Text Mining.

Anna Korhonen, Yufan Guo, Simon Baker, Meliha Yetisgen-Yildiz, Ulla Stenius, Masashi Narita, Pietro Liò

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.

Yufan Guo, Ilona Silins, Ulla Stenius, Anna Korhonen

Bioinform., 2013

2011

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

Yufan Guo, Anna Korhonen, Maria Liakata, Ilona Silins, Johan Högberg, Ulla Stenius

BMC Bioinform., 2011

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

Yufan Guo, Anna Korhonen, Ilona Silins, Ulla Stenius

Bioinform., 2011

2010

Identifying the Information Structure of Scientific Abstracts: An Investigation of Three Different Schemes.

Yufan Guo, Anna Korhonen, Maria Liakata, Ilona Silins, Lin Sun, Ulla Stenius

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.

Anna Korhonen, Ilona Silins, Lin Sun, Ulla Stenius

BMC Bioinform., 2009

User-Driven Development of Text Mining Resources for Cancer Risk Assessment.

Lin Sun, Anna Korhonen, Ilona Silins, Ulla Stenius

Proceedings of the BioNLP Workshop, BioNLP@HLT-NAACL 2009, 2009