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        <title>The Romanian Corpus Annotated with Verbal Multiword Expressions</title>
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            <title>Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019)</title>
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    <abstract>This paper reports on the Romanian journalistic corpus annotated with verbal multiword expressions following the PARSEME guidelines. The corpus is sentence split, tokenized, part-of-speech tagged, lemmatized, syntactically annotated and verbal multiword expressions are identified and classified. It offers insights into the frequency of such Romanian word combinations and allows for their characterization. We offer data about the types of verbal multiword expressions in the corpus and some of their characteristics, such as internal structure, diversity in the corpus, average length, productivity of the verbs. This is a language resource that is important per se, as well as for the task of automatic multiword expressions identification, which can be further used in other systems. It was already used as training and test material in the shared tasks for the automatic identification of verbal multiword expressions organized by PARSEME.</abstract>
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%0 Conference Proceedings
%T The Romanian Corpus Annotated with Verbal Multiword Expressions
%A Barbu Mititelu, Verginica
%A Cristescu, Mihaela
%A Onofrei, Mihaela
%Y Savary, Agata
%Y Escartín, Carla Parra
%Y Bond, Francis
%Y Mitrović, Jelena
%Y Mititelu, Verginica Barbu
%S Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019)
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F barbu-mititelu-etal-2019-romanian
%X This paper reports on the Romanian journalistic corpus annotated with verbal multiword expressions following the PARSEME guidelines. The corpus is sentence split, tokenized, part-of-speech tagged, lemmatized, syntactically annotated and verbal multiword expressions are identified and classified. It offers insights into the frequency of such Romanian word combinations and allows for their characterization. We offer data about the types of verbal multiword expressions in the corpus and some of their characteristics, such as internal structure, diversity in the corpus, average length, productivity of the verbs. This is a language resource that is important per se, as well as for the task of automatic multiword expressions identification, which can be further used in other systems. It was already used as training and test material in the shared tasks for the automatic identification of verbal multiword expressions organized by PARSEME.
%R 10.18653/v1/W19-5103
%U https://aclanthology.org/W19-5103
%U https://doi.org/10.18653/v1/W19-5103
%P 13-21

Markdown (Informal)

[The Romanian Corpus Annotated with Verbal Multiword Expressions](https://aclanthology.org/W19-5103) (Barbu Mititelu et al., MWE 2019)

• The Romanian Corpus Annotated with Verbal Multiword Expressions (Barbu Mititelu et al., MWE 2019)

ACL

• Verginica Barbu Mititelu, Mihaela Cristescu, and Mihaela Onofrei. 2019. The Romanian Corpus Annotated with Verbal Multiword Expressions. In Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), pages 13–21, Florence, Italy. Association for Computational Linguistics.