BibTeX

@inProceedings{fribergheppin-2010-using-156062,
	title        = {Using Stylistic Differences in Information Retrieval},
	abstract     = {The MedEval test collection is a newly constructed Swedish medical test collection, unique in its kind providing the possibility
to choose user group: doctors or patients. A test collection such as MedEval makes it possible to study how to construct queries
in order to retrieve documents intended for one group or the other.},
	booktitle    = {The Third Swedish Language Technology Conference (SLTC 2010). Proceedings of the Conference.},
	author       = {Friberg Heppin, Karin},
	year         = {2010},
	pages        = {29--30},
}

@inProceedings{fribergheppin-2010-decomposition-156063,
	title        = {Decomposition of Compounds and the Effect on Search Key Effectiveness in Information Retrieval},
	abstract     = {Research on compound decomposition in information retrieval has mostly been performed comparing decomposition of all
compounds in index and query with that of no compounds; and either all constituents have been used or none. This study
suggests that improvements may be achieved by selective decomposition and by selective use of compound constituents.},
	booktitle    = {SLTC 2010 Workshop on Compounds and Multiword Expressions. Proceedings.},
	author       = {Friberg Heppin, Karin},
	year         = {2010},
}

@inProceedings{fribergheppin-2010-medeval-125864,
	title        = {MedEval- A Swedish Medical Test Collection with Doctors and Patients User Groups },
	abstract     = {MedEval is a Swedish medical test collection where assessments have been made, not only  for topical relevance, but also for target reader group: Doctors or Patients. The user of the test collection can choose if s/he wishes to search in the Doctors or the Patients scenarios where the topical relevance assessments have been adjusted with consideration to user group, or to search in a scenario which regards only topical relevance. MedEval makes it possible to compare the effectiveness of search terms when it comes to retrieving documents aimed at the different user groups. MedEval is also the first medical Swedish test collection.},
	booktitle    = {Proceedings of the North American Conference of the Association for Computational Linguistics - Human Language Technologies, NAACL-HLT 2010. Louhi'10 - Second Louhi Workshop on Text and Data Mining of Health Documents, Los Angeles, Ca.},
	author       = {Friberg Heppin, Karin},
	year         = {2010},
	pages        = {1--7},
}

@book{fribergheppin-2010-resolving-128801,
	title        = {Resolving power of search keys in MedEval, a Swedish medical test collection with user groups: doctors and patients},
	abstract     = {This thesis describes the making of a Swedish medical text collection, unique in its kind in providing a possibility to choose user group: doctors or patients. The thesis also describes a series of pilot studies which demonstrate what kind of studies can be performed with such a collection. The pilot studies are focused on search key effectivity: What makes a search key good, and what makes a search key bad? The need to bring linguistics and consideration of terminology into the information retrieval research field is demonstrated. Most information retrieval is about finding free text documents. Documents are built of terms, as are topics and search queries. It is important to understand the functions and features of these terms and not treat them like featureless objects. The thesis concludes that terms are not equal, but show very different behavior. The thesis addresses the problem of compounds, which, if used as search keys, will not match corresponding simplex words in the documents, while simplex words as search keys will not match corresponding compounds in the documents. The thesis discusses how compounds can be split to obtain more matches, without lowering the quality of a search. Another important aspect of the thesis is that it considers how different language registers, in this case those of doctors and patients, can be utilized to find documents written with one of the groups in mind. As the test collection contains a large set of documents marked for intended target group, doctors or patients, the language differences can be and are studied. The author comes up with suggestions of how to choose search keys if documents from one category or the other are desired. Information retrieval is a multi-disciplinary research field. It involves computer science, information science, and natural language processing. There is a substantial amount of research behind the algorithms of modern search engines, but even with the best possible search algorithm the result of a search will not be successful without an effective query constructed with effective search keys.},
	author       = {Friberg Heppin, Karin},
	year         = {2010},
	publisher    = {University of Gothenburg},
	address      = {Göteborg},
	ISBN         = {978-91-87850-41-7},
}