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        <title>Parsing and MWE Detection: Fips at the PARSEME Shared Task</title>
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            <namePart type="given">Stella</namePart>
            <namePart type="family">Markantonatou</namePart>
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            <namePart type="given">Carlos</namePart>
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        <name type="personal">
            <namePart type="given">Agata</namePart>
            <namePart type="family">Savary</namePart>
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    <abstract>Identifying multiword expressions (MWEs) in a sentence in order to ensure their proper processing in subsequent applications, like machine translation, and performing the syntactic analysis of the sentence are interrelated processes. In our approach, priority is given to parsing alternatives involving collocations, and hence collocational information helps the parser through the maze of alternatives, with the aim to lead to substantial improvements in the performance of both tasks (collocation identification and parsing), and in that of a subsequent task (machine translation). In this paper, we are going to present our system and the procedure that we have followed in order to participate to the open track of the PARSEME shared task on automatic identification of verbal multiword expressions (VMWEs) in running texts.</abstract>
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%0 Conference Proceedings
%T Parsing and MWE Detection: Fips at the PARSEME Shared Task
%A Foufi, Vasiliki
%A Nerima, Luka
%A Wehrli, Éric
%Y Markantonatou, Stella
%Y Ramisch, Carlos
%Y Savary, Agata
%Y Vincze, Veronika
%S Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F foufi-etal-2017-parsing
%X Identifying multiword expressions (MWEs) in a sentence in order to ensure their proper processing in subsequent applications, like machine translation, and performing the syntactic analysis of the sentence are interrelated processes. In our approach, priority is given to parsing alternatives involving collocations, and hence collocational information helps the parser through the maze of alternatives, with the aim to lead to substantial improvements in the performance of both tasks (collocation identification and parsing), and in that of a subsequent task (machine translation). In this paper, we are going to present our system and the procedure that we have followed in order to participate to the open track of the PARSEME shared task on automatic identification of verbal multiword expressions (VMWEs) in running texts.
%R 10.18653/v1/W17-1706
%U https://aclanthology.org/W17-1706/
%U https://doi.org/10.18653/v1/W17-1706
%P 54-59

Markdown (Informal)

[Parsing and MWE Detection: Fips at the PARSEME Shared Task](https://aclanthology.org/W17-1706/) (Foufi et al., MWE 2017)

• Parsing and MWE Detection: Fips at the PARSEME Shared Task (Foufi et al., MWE 2017)

ACL

• Vasiliki Foufi, Luka Nerima, and Éric Wehrli. 2017. Parsing and MWE Detection: Fips at the PARSEME Shared Task. In Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), pages 54–59, Valencia, Spain. Association for Computational Linguistics.