The Clinical Text Mining Group was very active at the EACL conference (14th Conference of the European Chapter of the Association for Computational Linguistics) in Göteborg, organising the Louhi 2014 workshop (as described in a previous blog post) and presenting four papers at other workshops. At the PITR workshop (The 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations), three papers were presented: ”EACL – Expansion of Abbreviations in CLinical text” by Lisa Tengstrand, Beáta Megyesi, Aron Henriksson, Martin Duneld and Maria Kvist, ”Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results” by
Gintaré Grigonyté, Maria Kvist, Sumithra Velupillai and Mats Wirén, and finally ”Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language” by Emil Abrahamsson, Timothy Forni, Maria Skeppstedt and Maria Kvist.

Emil Abrahamsson and Timothy Forni are former students at DSV and the paper was the result of their bachelor thesis. Also the paper by Tengstrand et al. was the result of a student thesis (a master thesis by Lisa Tengstrand at Uppsala University).

The forth paper was a research proposal at the student workshop, ”Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods” by Maria Skeppstedt.

There were many interesting presentations, at the workshops as well as at the main conference, for instance ”Learning Dictionaries for Named Entity Recognition using Minimal Supervision” by Arvind Neelakantan and Michael Collins.

The weather was perfect for having interesting discussions in the sun between the sessions and the social activities featured eating different kinds of fish that are hard to find in Stockholm.The Clinical Text Mining Group was very active at the EACL conference in Göteborg, organising the Louhi 2014 workshop (as described in a previous blog post) and presenting four papers at other workshops. At the PITR workshop (The 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations), three papers were presented: ”EACL – Expansion of Abbreviations in CLinical text” by Lisa Tengstrand, Beáta Megyesi, Aron Henriksson, Martin Duneld and Maria Kvist, ”Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results” by
Gintaré Grigonyté, Maria Kvist, Sumithra Velupillai and Mats Wirén, and finally ”Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language”
Emil Abrahamsson, Timothy Forni, Maria Skeppstedt and Maria Kvist. Emil Abrahamsson and Timothy Forni are former students at DSV and the paper was the result of their bachelor thesis. Also the paper by Tengstrand et al. was the result of a student thesis (a master thesis at Uppsala University).
The forth paper was a research proposal at the student workshop, ”Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods” by Maria Skeppstedt.

There were many interesting presentations, as the workshops as well as at the main conference, for instance ”Learning Dictionaries for Named Entity Recognition using Minimal Supervision” by Arvind Neelakantan and Michael Collins.

The weather was perfect for having interesting discussions in the sun between the sessions and the social activities featured eating different kinds of fish that are hard to find in Stockholm.The Clinical Text Mining Group was very active at the EACL conference in Göteborg, organising the Louhi 2014 workshop (as described in a previous blog post) and presenting four papers at other workshops. At the PITR workshop (The 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations), three papers were presented: ”EACL – Expansion of Abbreviations in CLinical text” by Lisa Tengstrand, Beáta Megyesi, Aron Henriksson, Martin Duneld and Maria Kvist, ”Improving Readability of Swedish Electronic Health Records through Lexical Simplification: First Results” by
Gintaré Grigonyté, Maria Kvist, Sumithra Velupillai and Mats Wirén, and finally ”Medical text simplification using synonym replacement: Adapting assessment of word difficulty to a compounding language”
Emil Abrahamsson, Timothy Forni, Maria Skeppstedt and Maria Kvist. Emil Abrahamsson and Timothy Forni are former students at DSV and the paper was the result of their bachelor thesis. Also the paper by Tengstrand et al. was the result of a student thesis (a master thesis at Uppsala University).
The forth paper was a research proposal at the student workshop, ”Enhancing Medical Named Entity Recognition with Features Derived from Unsupervised Methods” by Maria Skeppstedt.

There were many interesting presentations, as the workshops as well as at the main conference, for instance ”Learning Dictionaries for Named Entity Recognition using Minimal Supervision” by Arvind Neelakantan and Michael Collins.

The weather was perfect for having interesting discussions in the sun between the sessions and the social activities featured eating different kinds of fish that are hard to find in Stockholm.