21st Workshop on Multiword Expressions (MWE 2025) @NAACL2025

Joined September 2011
16 Photos and videos
MWE Workshop retweeted
21st @multiword is going on in the Santa Ana room @naaclmeeting. @complingy is talking on "Meaning Construction at the Syntax-Lexis Nexus"
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⚡️Final CFP: 21st Workshop on Multiword Expressions (MWE2025) ⏰Submit Your Papers By: Feb 13 at 23:59 (AoE) 👉More details: multiword.org/mwe2025/ @naaclmeeting @aclmeeting @insight_centre @UniDive_CA21167 @vgiouli @shashwatup9k #siglex

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6PM: End of another #MWE workshop! A big thank you to the organisers, the program committee, and everyone who attended this year's #MWEUD2024 workshop, for making it such a special event. See you next year!
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5.30: Community Discussion begins with an announcement of the Best Paper Award, which goes to...
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Looking towards the future, Shared Tasks for both UD parsing and MWE identification are proposed, with interest voiced in opening Shared Tasks for semantic parsing and term identification.
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What about identification of genre and domain in text? Would additional annotation layers be valuable for a broad range of analyses? How are MWEs best represented in lexica? Some of the questions raised during the discussion.
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4PM: Poster session 2 will take place after the coffee break! ☕️🥐 Stop by the poster area to see presentations on: -Synthetic-Error Augmented Parsing of Swedish as a Second Language: Experiments with Word Order -MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank
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-Domain-Weighted Batch Sampling for Neural Dependency Parsing -Redefining Syntactic and Morphological Tasks for Typologically Diverse Languages -UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies
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-Sparse Logistic Regression with High-order Features for Automatic Grammar Rule Extraction from Treebanks -Joint Annotation of Morphology and Syntax in Dependency Treebanks #MWEU2024 colocated at @LrecColing
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3.40: Qi Yu of University of Konstanz presents "Ad Hoc Compounds for Stance Detection"; German's system of compound creation allows for encoding attitudinal meaning (e.g. 'Merkel-Land'), however, these ad-hoc creations are not reliably identified or processed automatically.
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