BibTeX

@inProceedings{borin-etal-2007-medical-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},
}

@techreport{borin-etal-2007-empowering-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},
	address      = {Göteborg},
}

@inProceedings{lindh-eriksson-2007-robustness-47321,
	title        = {Robustness of Long Time Measures of Fundamental Frequency},
	abstract     = {In many speech technology based applications as well as in forensic phonetics it is desirable to obtain reliable estimates of a speaker’s fundamental frequency. We would like the measures to be accurate and reliable enough in order to be used meaningfully as a parameter in speaker identification or verification. Under optimal conditions such as when high quality studio recordings and normal speech styles are used this is often possible. In real life applications such conditions are the exception rather than the rule. The study presented here reports the result from an investigation where different measures were tested on speech material that varied with respect to speaking style, vocal effort and recording quality. Based on the results from these tests we would like to suggest a measure we call the alternative fundamental frequency baseline as the measure that is most robust with respect to the above-mentioned sources of variation. Index Terms: speaker recognition, speaker identification, fundamental frequency, F0.},
	booktitle    = {In Proceedings of Interspeech 2007, Antwerp, Belgium.},
	author       = {Lindh, Jonas and Eriksson, Anders},
	year         = {2007},
	pages        = {2025–2028},
}

@article{kokkinakis-thurin-2007-anonymisation-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.},
	journal      = {Lecture Notes in Computer Science},
	author       = {Kokkinakis, Dimitrios and Thurin, Anders},
	year         = {2007},
	volume       = {4594},
	pages        = {237--241},
}

@inProceedings{borin-etal-2007-naming-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},
}

@inProceedings{lindh-2007-voxalys-47320,
	title        = {Voxalys- a Pedagogical Praat Plugin for Voice Analysis.},
	booktitle    = {Proceedings of Fonetik 2007, TMH-QPSR, KTH, Stockholm},
	author       = {Lindh, Jonas},
	year         = {2007},
	volume       = {50},
	pages        = {73--77},
}

@inProceedings{olsson-2007-exist-66850,
	title        = {How do you do eXist},
	booktitle    = {Javaforum 2007-05-23},
	author       = {Olsson, Leif-Jöran},
	year         = {2007},
}

@inProceedings{kokkinakis-2007-automatic-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},
}

@article{kokkinakis-etal-2007-lexical-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.},
	journal      = {roceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA)},
	author       = {Kokkinakis, Dimitrios and Toporowska Gronostaj, Maria and Hallett, Catalina and Hardcastle, david},
	year         = {2007},
}

@article{kokkinakis-thurin-2007-identification-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},
	journal      = {Proceedings of the 16th Nordic Conference of Computational Linguistics (NODALIDA)},
	author       = {Kokkinakis, Dimitrios and Thurin, Anders},
	year         = {2007},
}