In this paper, we present a new syntacti-cally annotated corpus consisting of daily notes from an intensive care unit in a Finnish hospital. Using the corpus, we perform experiments with both rule-based and statistical parsers. We apply an ex-isting rule-based parser specifically devel-oped for this clinical language and create a set of conversion rules for transforming the constituency scheme of this parser into the dependency scheme of the corpus. The statistical parser is induced from the cor-pus using the MaltParser system. We find that even with a modestly-sized corpus, the statistical parser achieves re-sults comparable to those previously re-ported on a number of languages using considerably larger corpora. The accu-rate constituency...
This paper presents a rule-based method for converting between colloquial Finnish and standard Finni...
NLP systems will be more portable among medical domains if acquisition of semantic lexicons can be f...
In this work, we present a syntactic parser specialized for German clinical data. Our model, trained...
Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kri...
We describe the methods and resources used to build FinnTreeBank-3, a 76.4 million token corpus of F...
Information access from clinical text is a research area which has gained a large amount of interest...
Electronical health records, also called clinical texts, have their own linguistic characteristics a...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
AbstractBackgroundFull syntactic parsing of clinical text as a part of clinical natural language pro...
We outline the design and creation of a syntactically and morphologically annotated corpora of Finni...
A fluent flow of health information is critical for health communication and decision making. Howeve...
Recently, there has been great interest both in the development of cross-linguistically applicabl...
Abstract. This paper presents a method to incorporate statistical information into a rule-based pars...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
We present FinnTreeBank 3, a treebank and parsebank for Finnish, and focus on its design and develop...
This paper presents a rule-based method for converting between colloquial Finnish and standard Finni...
NLP systems will be more portable among medical domains if acquisition of semantic lexicons can be f...
In this work, we present a syntactic parser specialized for German clinical data. Our model, trained...
Proceedings of the 17th Nordic Conference of Computational Linguistics NODALIDA 2009. Editors: Kri...
We describe the methods and resources used to build FinnTreeBank-3, a 76.4 million token corpus of F...
Information access from clinical text is a research area which has gained a large amount of interest...
Electronical health records, also called clinical texts, have their own linguistic characteristics a...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
AbstractBackgroundFull syntactic parsing of clinical text as a part of clinical natural language pro...
We outline the design and creation of a syntactically and morphologically annotated corpora of Finni...
A fluent flow of health information is critical for health communication and decision making. Howeve...
Recently, there has been great interest both in the development of cross-linguistically applicabl...
Abstract. This paper presents a method to incorporate statistical information into a rule-based pars...
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011. Editors: Bol...
We present FinnTreeBank 3, a treebank and parsebank for Finnish, and focus on its design and develop...
This paper presents a rule-based method for converting between colloquial Finnish and standard Finni...
NLP systems will be more portable among medical domains if acquisition of semantic lexicons can be f...
In this work, we present a syntactic parser specialized for German clinical data. Our model, trained...