Sumithra Velupillai and Magnus Rosell (CSC/KTH) presented their article Revealing Relations between Open and Closed Answers in Questionnaires at the the Sixth International Conference on Language Resources and Evaluation, LREC 2008, Marrakech, Morocco, May 28-30, 2008. LREC is one of the major and largest conferences in Computational Linguistics, with around 1000 attendants from all over the world. The article describes experimental work on a questionnaire, where relations between open answers (regarding occupation) and closed answers (regarding smoking) were (semi-)automatically revealed using text clustering evaluation methods and a vector space visualization tool. Through the proposed method a previously unknown hypothesis (farmers smoke less than the average) was generated and evaluated through a literature study, and the method was proven successful. More experiments will be performed to further confirm its potential.
The full article can be found here:
http://people.dsv.su.se/~sumithra/publications/LREC08/rosellvelupillai08.pdf
Results from the research project TvärSök, (Cross language information retrieval) were also presented and published in form of an article with the title: Experiments to investigate the connection between case distribution and topical relevance of search terms in an information retrieval setting
The full article can be found here:
http://www.dsv.su.se/~hercules/papers/karlgrendalianisjongejan-LREC2008_final.pdf
The authors of the article are associate professor Jussi Karlgren, SICS, Bart Jongejan, CST, University of Copenhagen and associate professor Hercules Dalianis, DSV. The article compares lemmatization and stemming for German and Finnish respectively in a search setting for German and Finnish news article. The conclusions are two: the basic Porter stemmer used for German and Finnish is good enough for a search setting and that Finnish nouns in locative cases are less common in relevant documents. The TvärSök project is supported by VINNOVA and the search engine company Euroling AB that is developing and delivering web and intranet search engine SiteSeeker.
