We describe a method for semi-automatic extraction of Slovak multiword ex-pressions (MWEs) from a dependency treebank. The process uses an automatic conversion from dependency syntactic trees to deep syntax and automatic tag-ging of verbal argument nodes based on a valency dictionary. Both the valency dictionary and the treebank conversion were adapted from the corresponding Czech versions; the automatically translated valency dictionary has been man-ually proofread and corrected. There are two main achievements – a valency dictionary of Slovak MWEs with direct links to corresponding expressions in the Czech dictionary, PDT-Vallex, and a method of extraction of MWEs from the Slovak Dependency Treebank. The extraction reached very high preci...
The paper presents an approach to semi-automatic verb valency frame extraction from the Croatian Dep...
We present a supervised learning method for verbal valency frame detection and se-lection, i.e., a s...
In order to optimize corpus searches for valency lexicon production, we analyse the relative frequen...
Slovak Dependency Treebank (Slovenský závislostný korpus) was created as part of the Slovak National...
Annotated list of dependency bigrams occurring in the PDT more than five times and having part-of-sp...
This thesis explores annotation of multiword expressions in the Prague Dependency Treebank 2.0. We e...
We describe a conversion of the syntactically annotated part of the Slovak National Corpus into the ...
Lexicon of Czech verbal multiword expressions (VMWEs) used in Parseme Shared Task 2017. https://typo...
The goal of this thesis is an effective implementation of the methods of multiword expression extrac...
Title: Valency of verbs in the Prague Dependency Treebank Author: PhDr. Zdeňka Urešová Department: I...
The presented work investigates methods for semi-automatic extraction of lexico-syntactic informatio...
Purpose A hybrid approach is presented, which combines linguistic and statistical information to sem...
This paper describes an experiment on extracting Hungarian multi-word lexemes from a corpus, using s...
The valency lexicon PDT-Vallex has been built in close connection with the annotation of the Prague ...
This paper introduces a new bilingual Czech-English verbal valency lexicon (called CzEng-Vallex) rep...
The paper presents an approach to semi-automatic verb valency frame extraction from the Croatian Dep...
We present a supervised learning method for verbal valency frame detection and se-lection, i.e., a s...
In order to optimize corpus searches for valency lexicon production, we analyse the relative frequen...
Slovak Dependency Treebank (Slovenský závislostný korpus) was created as part of the Slovak National...
Annotated list of dependency bigrams occurring in the PDT more than five times and having part-of-sp...
This thesis explores annotation of multiword expressions in the Prague Dependency Treebank 2.0. We e...
We describe a conversion of the syntactically annotated part of the Slovak National Corpus into the ...
Lexicon of Czech verbal multiword expressions (VMWEs) used in Parseme Shared Task 2017. https://typo...
The goal of this thesis is an effective implementation of the methods of multiword expression extrac...
Title: Valency of verbs in the Prague Dependency Treebank Author: PhDr. Zdeňka Urešová Department: I...
The presented work investigates methods for semi-automatic extraction of lexico-syntactic informatio...
Purpose A hybrid approach is presented, which combines linguistic and statistical information to sem...
This paper describes an experiment on extracting Hungarian multi-word lexemes from a corpus, using s...
The valency lexicon PDT-Vallex has been built in close connection with the annotation of the Prague ...
This paper introduces a new bilingual Czech-English verbal valency lexicon (called CzEng-Vallex) rep...
The paper presents an approach to semi-automatic verb valency frame extraction from the Croatian Dep...
We present a supervised learning method for verbal valency frame detection and se-lection, i.e., a s...
In order to optimize corpus searches for valency lexicon production, we analyse the relative frequen...