Encoding MWEs in a conceptual lexicon

Fotopoulou, Aggeliki; Μαρκαντωνάτου, Στέλλα; Giouli, Voula

doi:10.3115/v1/w14-0807

Cited by 7 publications

(9 citation statements)

References 17 publications

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“…IDION encodes polarity and style information [DuELME, Gregoire (2010); Polytropon, Fotopoulou et al (2014)]. For style, the VMWE is assigned one of the values Formal, Colloquial, Offensive (Christopoulou, 2016).…”

Section: Polarity Style and Emphasismentioning

confidence: 99%

IDION: A database for Modern Greek multiword expressions

Μαρκαντωνάτου¹,

Minos²,

Zakis³

et al. 2019

Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019)

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We report on the ongoing development of IDION, a web resource of richly documented multiword expressions (MWEs) of Modern Greek addressed to the human user and to NLP. IDION contains about 2000 verb MWEs (VMWEs) of which about 850 have been documented as regards their syntactic flexibility, their semantics and the semantic relations with other VMWEs. Sets of synonymous MWEs are defined in a bottom-up manner revealing the conceptual organisation of the MG VMWE domain.

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Section: Polarity Style and Emphasismentioning

confidence: 99%

IDION: A database for Modern Greek multiword expressions

Μαρκαντωνάτου¹,

Minos²,

Zakis³

et al. 2019

Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019)

Self Cite

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“…From a linguistic point of view, they present restricted variability patterns, licensing phenomena such as passivization, pronominalization of components, reordering, and free PP-movement depending on the VMWE category [14,10,17,8]. Moreover, verbs (and VMWEs) tend to have rich morphological inflection paradigms, and allow many (but not all) syntactic changes [6,5]. These are often unpredictable [11], making VMWEs challenging to represent in resources and to model in applications.…”

Section: Introductionmentioning

confidence: 99%

“…Boldface indicates lexicalized components for all examples throughout this paper 4. A flexibility test verifies to what extent a change usually allowed by a language's grammar also applies to the candidate to annotate 5. A word that does not co-occur with any other word outside the VMWE.…”

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confidence: 99%

A Corpus Study of Verbal Multiword Expressions in Brazilian Portuguese

Ramisch

Ramisch²,

Zilio

et al. 2018

Lecture Notes in Computer Science

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Verbal multiword expressions (VMWEs) such as to make ends meet require special attention in NLP and linguistic research, and annotated corpora are valuable resources for studying them. Corpora annotated with VMWEs in several languages, including Brazilian Portuguese, were made freely available in the PARSEME shared task. The goal of this paper is to describe and analyze this corpus in terms of the characteristics of annotated VMWEs in Brazilian Portuguese. First, we summarize and exemplify the criteria used to annotate VMWEs. Then, we analyze their frequency, average length, discontinuities and variability. We further discuss challenging constructions and borderline cases. We believe that this analysis can improve the annotated corpus and its results can be used to develop systems for automatic VMWE identification.

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“…Knowledge about collocations and multi-word expressions (MWEs) can be beneficial for parsing, ultimately improving a parser's accuracy Korkontzelos and Manandhar, 2010;Wehrli, 2014). Typically such knowledge is made present by treating collocations and MWEs as single lexical and syntactic units Escartín et al, 2013;Fotopoulou et al, 2014). This practice is also reflected in domain adaptation, where domain-specific lexicons hold collocations and MWEs with 'domain terms' status.…”

Section: Introductionmentioning

confidence: 99%

Proceedings of the 11th Workshop on Multiword Expressions

2015

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The paper describes the results of an empirical study of integrating bigram collocations and similarities between them and unigrams into topic models. First of all, we propose a novel algorithm PLSA-SIM that is a modification of the original algorithm PLSA. It incorporates bigrams and maintains relationships between unigrams and bigrams based on their component structure. Then we analyze a variety of word association measures in order to integrate top-ranked bigrams into topic models. All experiments were conducted on four text collections of different domains and languages. The experiments distinguish a subgroup of tested measures that produce topranked bigrams, which demonstrate significant improvement of topic models quality for all collections, when integrated into PLSA-SIM algorithm.

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Encoding MWEs in a conceptual lexicon

Cited by 7 publications

References 17 publications

IDION: A database for Modern Greek multiword expressions

IDION: A database for Modern Greek multiword expressions

A Corpus Study of Verbal Multiword Expressions in Brazilian Portuguese

Proceedings of the 11th Workshop on Multiword Expressions

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