@inProceedings{Borin-Lars2007-44951, title = {Medical frames as target and tool}, booktitle = {FRAME 2007: Building Frame Semantics resources for Scandinavian and Baltic languages. (Nodalida 2007 workshop proceedings)}, author = {Borin, Lars and Toporowska Gronostaj, Maria and Kokkinakis, Dimitrios}, year = {2007}, ISBN = {978-91-976939-0-5}, pages = {11--18}, } @inProceedings{Borin-Lars2007-44954, title = {Naming the past: Named entity and animacy recognition in 19th century Swedish literature}, booktitle = {ACL 2007 Workshop on Language Technology for Cultural Heritage Data (LaTeCH 2007)}, author = {Borin, Lars and Kokkinakis, Dimitrios and Olsson, Leif-Jöran}, year = {2007}, pages = {1--8}, } @techreport{Borin-Lars2007-53590, title = {Empowering the patient with language techno­logy}, author = {Borin, Lars and Grabar, Natalia and Hallett, Catalina and Hardcastle, david and Toporowska Gronostaj, Maria and Kokkinakis, Dimitrios and Williams, Sandra and Willis, Alistair}, year = {2007}, publisher = {Göteborg University}, adress = {Göteborg}, } @article{Kokkinakis-Dimitrios2007-45193, title = {Anonymisation of Swedish Clinical Data}, abstract = {There is a constantly growing demand for exchanging clinical and health-related information electronically. In the era of the Electronic Health Record the release of individual data for research, health care statistics, monitoring of new diagnostic tests and tracking disease outbreak alerts are some of the areas in which the protection of (patient) privacy has become an important concern. In this paper we present a system for automatic anonymisation of Swedish clinical free text, in the form of discharge letters, by applying generic named entity recognition technology.}, author = {Kokkinakis, Dimitrios and Thurin, Anders}, year = {2007}, volume = {4594}, pages = {237--241}, } @article{Kokkinakis-Dimitrios2007-45195, title = {Identification of Entity References in Hospital Discharge Letters}, abstract = {In the era of the Electronic Health Record the release of medical narrative textual data for research, for health care statistics, for monitoring of new diagnostic tests and for tracking disease outbreak alerts imposes tough restrictions by various public authority bodies for the protection of (patient) privacy. In this paper we present a system for automatic identification of named entities in Swedish clinical free text, in the form of discharge letters, by applying generic named entity recognition technology with minor adaptations}, author = {Kokkinakis, Dimitrios and Thurin, Anders}, year = {2007}, } @article{Kokkinakis-Dimitrios2007-45194, title = {Lexical Parameters, Based on Corpus Analysis of English and Swedish Cancer Data, of Relevance for NLG}, abstract = {This paper reports on a corpus-based, contrastive study of the Swedish and English medical language in the cancer sub-domain. It is focused on the examination of a number of linguistic parameters differentiating two types of cancer-related textual material, one intended for medical experts and one for laymen. Language-dependent and language independent characteristics of the textual data between the two languages and the two registers are examined and compared. The aim of the work is to gain insights into the differences between lay and expert texts in order to support natural language generation (NLG) systems.}, author = {Kokkinakis, Dimitrios and Toporowska Gronostaj, Maria and Hallett, Catalina and Hardcastle, david}, year = {2007}, } @inProceedings{Kokkinakis-Dimitrios2007-47933, title = {Automatic Indexing using the English and Swedish MeSH®, a Note on Coverage}, abstract = {The identification and mapping of terminology onto a concept hierarchy is the very first stage of semantic, deeper analysis of textual documents. Work regarding automatic terminology recognition using the Swedish MeSH® thesaurus (Medical Subject Headings, edition 2006) and its corresponding English source is reported. A number of transformations and refinements were applied to the original lexical database in order to enhance the automatic process of mapping the extensive variability of lexical terms in authentic data to structured MeSH codes. Means to increase the coverage of both thesauruses for automatic indexing of Swedish medical data are investigated.}, booktitle = {Svenska Läkaresällskapets Riksstämma 2007}, author = {Kokkinakis, Dimitrios}, year = {2007}, }