MWE-Finder: A Demonstration (2024.lrec-main)

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Challenge: MWE Finder is an application to search for flexible multiword expressions in text corpora.
Approach: They introduce and demonstrate an application to search for flexible multiword expressions in Dutch text corpora.
Outcome: The proposed system can find flexible multiword expressions in large text corpus faster and more reliable than other search applications.

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A Canonical Form for Flexible Multiword Expressions (2024.lrec-main)

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Challenge: Until now, no well-defined canonical form exists for MWEs in Dutch . traditional dictionaries do not use a canonically form but an example to illustrate MWE .
Approach: They propose a canonical form for Multiword Expressions in the Dutch language . it introduces a lexical resource with more than 11k Dutch multiword expressions in canonically form .
Outcome: The proposed canonical form can be enriched with annotations to describe properties of the MWE and its components.
CoAM: Corpus of All-Type Multiword Expressions (2025.acl-long)

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Challenge: Existing datasets for multiword expressions are inconsistently annotated, limited to a single type of MWE, or limited in size.
Approach: They propose to use a new interface to generate MWE annotations for the first time in a dataset of MWE identification.
Outcome: The proposed model outperforms existing models on the DiMSUM dataset.
MultiMWE: Building a Multi-lingual Multi-Word Expression (MWE) Parallel Corpora (2020.lrec-1)

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Challenge: Existing bilingual or multi-lingual MWE corpora are limited for multilingual use . only 871 pairs of English-German MWEs are available for research .
Approach: They present a collection of bilingual and multi-lingual MWEs extracted from parallel corpora.
Outcome: The available bilingual or multi-lingual MWE corpus is very limited . the collection is a small collection of 871 pairs of English-German MWEs .
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus (2021.acl-demo)

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Challenge: 7000 languages worldwide are spoken, but most research is focused on English . multilinguality is essential for multilingual research, and is a key component of the process.
Approach: They propose a wordaligned parallel corpus that can be browsed using an online tool . they use the word alignment tools SimAlign and BabelNet to find the alignments .
Outcome: The proposed tool can be set up for any parallel corpus and explores its quality and properties.
Unsupervised Paraphrasing of Multiword Expressions (2023.findings-acl)

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Challenge: Existing methods for paraphrasing multiword expressions in context are unsupervised . multiwords are notoriously difficult to model because the meaning of the whole can diverge substantially from that of the component words.
Approach: They propose an unsupervised approach to paraphrasing multiword expressions in context using monolingual corpus data and pre-trained language models.
Outcome: The proposed method outperforms all unsupervised systems and rivals supervised systems on the SemEval 2022 idiomatic text similarity task.
Verbal Multiword Expression Identification: Do We Need a Sledgehammer to Crack a Nut? (2020.coling-main)

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Challenge: Multiword expressions (MWEs) are word combinations idiosyncratic with respect to syntax or semantics.
Approach: They propose to use a language-independent system to identify previously seen VMWEs by combining filters to obtain the best averaged F-score over 11 languages and the best score for both seen and unseen VMwes.
Outcome: The proposed system obtains the best averaged F-score over 11 languages and even the best score for both seen and unseen VMWEs due to the high proportion of seen VMwes in texts.
Construction of Large-scale English Verbal Multiword Expression Annotated Corpus (L18-1)

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Challenge: In this paper, we focus on verbal MWEs, whose accurate recognition is challenging because they could be discontinuous.
Approach: They conduct large-scale annotations of VMWEs on the Wall Street Journal portion of Ontonotes . they first construct a VMwe dictionary based on the english-language Wiktionary .
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A Gold Standard for Multilingual Automatic Term Extraction from Comparable Corpora: Term Structure and Translation Equivalents (L18-1)

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Challenge: Terms are notoriously difficult to identify, both automatically and manually.
Approach: They propose a method to annotate terms manually from a comparable corpus . they show that the gold standard provides a tool for evaluation and a rich source of information .
Outcome: The proposed method provides a tool for evaluation and rich source of information about terms.
Syntactic Search by Example (2020.acl-demos)

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Challenge: a new system allows a user to search a large linguistically annotated corpus using syntactic patterns over dependency graphs.
Approach: They propose a query language that allows a user to search a large linguistically annotated corpus using syntactic patterns over dependency graphs.
Outcome: The proposed system searches the English wikipedia and English pubmed abstracts at a rapid speed.
AET: Web-based Adjective Exploration Tool for German (L18-1)

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Challenge: AET enables research on the modificational behavior of German adjectives and adverbs . currently available online corpus query tools for German do not lend themselves specifically to research on adjectives - e.g., syntactic relationships or morphological properties.
Approach: They propose a web-based corpus query tool that can be used to query German corpus . they extracted modifiers and modifiees from a print media corpus and stored them in a database .
Outcome: The proposed tool can be transferred to other languages and modification phenomena.

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