IMAIL paper at CICLing 2011, Tokyo, February 21

Our paper from the IMAIL-project with the title Comparing Manual Text Patterns and Machine Learning for Classification of E-Mails for Automatic Answering by a Government Agency by H. Dalianis, J. Sjöbergh and E. Sneiders, were presented at CICLing 2011, 12th International Conference on Intelligent Text Processing and Computational Linguistics, February 20-26, Tokyo, Japan, by Jonas Sjöbergh who participates in the IMAIL project from KTH. The proceedings were printed in Springer Verlag.

The paper shows that a manual approach to create rules for answering e-mails (in Swedish) is more accurate than using a machine learning approach, though a machine learning approach gives higher recall.

CICLing had around 100 participants below a couple of photos.

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About Hercules

I am a professor working at DSV-Stockholm University, I perform research in automatic text summarization and information retrieval using human language technology aswell as text mining on electronic patient records. I like to teach on my research but also supervising master thesis students.

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