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Today's Topics:
1. First CfP: Joint Workshop on Multiword Expressions and
Universal Dependencies (MWE-UD 2024) (Aaron Poet)
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Message: 1
Date: Sat, 9 Dec 2023 14:56:48 +0000
From: Aaron Poet <hanlifengaaron@gmail.com>
To: moses-support <moses-support@mit.edu>
Cc: Lifeng Han <lifeng.han@manchester.ac.uk>
Subject: [Moses-support] First CfP: Joint Workshop on Multiword
Expressions and Universal Dependencies (MWE-UD 2024)
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First CfP: Joint Workshop on Multiword Expressions and Universal
Dependencies (MWE-UD 2024)
*Welcome to re-distribute! *
Co-located with LREC-COLING 2024
Venue: Torino, Italy and online
Workshop Date: May 25, 2024
Workshop Webpage:
https://multiword.org/mweud2024/
We are pleased to announce that the multiword expressions (MWE) and
Universal Dependencies (UD) research communities are joining forces in 2024
to organize a joint workshop. This is a timely collaboration because the
two communities clearly have overlapping interests. For instance, while UD
has several dependency relations that can be used to annotate MWEs, both
annotation guidelines (i.e. is syntactic irregularity and inflexibility or
semantic non-compositionality the leading criterion?) and annotation
practice (both across treebanks for a single language and across languages)
for these relations can be improved (Schneider and Zeldes, 2021). The
PARSEME MWE-annotated corpora for 26 languages build on UD annotated
corpora (Savary et al., 2023). Both communities share an interest in
developing guidelines, data-sets, and tools that can be applied to a wide
range of typologically diverse languages, raising fundamental questions
about tokenization, lemmatization, and morphological decomposition of
tokens. Proposals for harmonizing annotation practices between what has
been achieved in PARSEME and UD and expanding PARSEME MWE annotation to
non-verbal MWEs are also central to the recently started UniDive COST
action (CA21167) <https://unidive.lisn.upsaclay.fr/doku.php?id=start>.
The workshop invites submissions of original research on MWE, UD, and the
interplay of both. In particular, the following topics are especially
relevant:
-
Sensitivity of LLMs to MWE and syntactic dependencies. Studies along the
lines of Manning et al. (2020) (UD), Nedumpozhimana and Kelleher (2021),
Garcia et al. (2021), Fakharian and Cook (2021), Moreau et al. (2018)
(MWE), and others on the question to what extent LLMs make use of syntactic
dependencies or are capable of detecting MWEs and capturing their
semantics.
-
Applicability of UD and MWE annotation and discovery for low-resource
and typologically diverse languages and language varieties. Both UD and
PARSEME aim at universal applicability across a wide range of languages.
Much theoretical, computational, and empirical work concentrates on
high-resource languages however. Applying these frameworks to typologically
diverse languages may lead one to reconsider the notion of token, word, and
morphological segmentation, and to reassess the notion of MWE for languages
that feature compounding or incorporation (Baldwin et al., 2021;
Haspelmath, 2023).
-
Case studies. Studies on the consistency, coverage or universal
applicability of MWE annotation in the UD or PARSEME frameworks, as well as
studies on automatic detection and interpretation of MWEs in corpora.
-
MWE and UD processing to enhance end-user applications. MWEs have gained
particular attention in end-user applications, including MT (Zaninello and
Birch, 2020; Han et al., 2021), simplification (Kochmar et al., 2020),
language learning and assessment (Paquot et al., 2019; Christiansen and
Arnon, 2017), social media mining (Maisto et al., 2017), and abusive
language detection (Zampieri et al., 2020; Caselli et al., 2020). We
believe that it is crucial to extend and deepen these first attempts to
integrate and evaluate MWE technology in these and further end-user
applications.
-
Testing developed systems on the latest dataset versions. Authors are
also encouraged to submit papers that test the developed systems using the
recent UD 2.13 and/or PARSEME 1.3 releases.
Organizational Details
-
The workshop is sponsored by ACL-SIGLEX <https://siglex.org/> and UniDive
<https://unidive.lisn.upsaclay.fr/doku.php?id=start>.
-
UniDive members with accepted papers may be eligible for travel
reimbursement.
-
If you are based in an underrepresented country or work on low-resource
languages and have an accepted paper, you may be eligible for an ACL-SIGLEX
travel grant of up to 500 USD.
-
The workshop follows LREC-COLING?s hybrid online/onsite format.
-
Workshop proceedings will be published in the ACL Anthology.
-
The workshop follows the ACL anti-harassment policy
<https://www.aclweb.org/adminwiki/index.php/Anti-Harassment_Policy>.
Submission Instructions
The workshop invites two types of submissions:
-
archival submissions that present substantially original research in
both long paper format (8 pages + references) and short paper format (4
pages + references)
-
non-archival submissions of abstracts describing relevant research
presented/published elsewhere which will not be included in the MWE-UD
proceedings.
Papers should be submitted via the workshop?s START submission page (link
will be provided once available). Please choose the appropriate submission
format (archival/non-archival). Submissions must follow the LREC-COLING
2024 stylesheet <https://lrec-coling-2024.org/authors-kit/>.
When submitting a paper from the START page, authors will be asked to
provide essential information about resources (in a broad sense, i.e. also
technologies, standards, evaluation kits, etc.) that have been used for the
work described in the paper or are a new result of your research. Moreover,
ELRA encourages all LREC-COLING authors to share the described LRs (data,
tools, services, etc.) to enable their reuse and replicability of
experiments (including evaluation ones)
Archival papers with existing reviews from ACL Rolling Review will also be
considered. A paper may not be simultaneously under review through ARR and
MWE-UD. A paper that has or will receive reviews through ARR may not be
submitted for review to MWE-UD.
Important Dates (Tentative)
Paper submission: Feb 25, 2024
ARR paper commitment: Mar 25, 2024
Notification of acceptance: Apr 1, 2024
Camera ready papers due: Apr 8, 2024
Workshop: May 25, 2024
All deadlines are at 23:59 UTC-12 (Anywhere on Earth).
Organizing Committee
Archna Bhatia, Gosse Bouma, Kilian Evang, Marcos Garcia, Voula Giouli,
Lifeng Han, Joakim Nivre.
For any inquiries contact the Organizing Committee at
mweud2024-organizers@uni-duesseldorf.de.
--
*Programme*: HealTAC23 <http://healtex.org/healtac-2023/programme/> (Manchester
June 14-16) |
Proceeding <https://aclanthology.org/2023.mwe-1.0.pdf>: MWE23
<https://multiword.org/mwe2023/>@EACL (special track with ClinicalNLP
<https://clinical-nlp.github.io/2023/index.html>@ACL) |
*New*:
ClinicalMT
<https://scholar.google.com/citations?view_op=view_citation&hl=en&user=_vf3E2QAAAAJ&sortby=pubdate&citation_for_view=_vf3E2QAAAAJ:4fGpz3EwCPoC>
@WMT22@EMNLP | Meta-eval Tutorial
<https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=5418617987092956707>
/
HumanEval <https://aclanthology.org/2022.lrec-1.2.pdf> (paper_w_tool) /
TranslationUncertainty <https://aclanthology.org/2022.lrec-1.2.pdf> (paper)
@LREC22 | T <https://github.com/poethan/TransformerCRF>ransformerCRF (
ClinicalNER <https://arxiv.org/abs/2210.12770>) *|* Covid-Topic-Modeling
<https://arxiv.org/abs/2301.03029> (*HealthNLP-2023*) |
Measuring_IRR(inter-rater
reliability <https://arxiv.org/abs/2303.04526>:RANLP23) | AlphaMWE-Arabic
<https://scholar.google.com/citations?view_op=view_citation&hl=en&user=_vf3E2QAAAAJ&sortby=pubdate&citation_for_view=_vf3E2QAAAAJ:NXb4pA-qfm4C>
(corpus <https://github.com/aaronlifenghan/AlphaMWE>:RANLP23) | ClinicalNMT
<https://arxiv.org/abs/2210.06068>(clinicalNLP23
<https://clinical-nlp.github.io/2023/>)| MedTem
<https://www.researchgate.net/publication/371575431_MedTem20_Prompt-based_Temporal_Classification_of_Treatment_Events_from_Discharge_Summaries>
2(ACL23:SRW)|MedTem1 <https://arxiv.org/abs/2310.02229> |ClinicalAnnotation
<https://www.researchgate.net/publication/371640573_Principles_of_ontology-based_annotation_of_clinical_narratives>(ICBO23)|
MedicalMine <https://arxiv.org/abs/2308.03629>(2023)| chatGPT4QE
<https://arxiv.org/abs/2308.00158>(2023) | HealthLiteracy
<https://arxiv.org/abs/2309.13202> | SyntheticData
<https://arxiv.org/abs/2310.19727> |
Serving as ACL2023 <https://2023.aclweb.org> AC (area chair): resource and
evaluation & EMNLP23 <https://2023.emnlp.org/> AC: MT|
MWE-SIGLEX <https://multiword.org> elected Standing Committee Board member
(2022-2024) |
Ph.D. in Computer Application (Machine Translation, thesis
<https://doras.dcu.ie/26559/>), M.Sc. (Software Engineering, thesis
<https://arxiv.org/abs/1703.08748> *excellent-award*), B.Sc. (Math, *GPA
80/100*)
Google-Scholar <https://scholar.google.nl/citations?user=_vf3E2QAAAAJ&hl=en> ,
Presentation <https://www.slideshare.net/AaronHanLiFeng>(ppt),
Research-Gate <https://www.researchgate.net/profile/Aaron_L-F_Han>
Google-site <https://sites.google.com/view/poetgarden/home> Linkedin
<https://www.linkedin.com/in/aaronhan/>, Writer
<https://books.apple.com/us/author/lifeng-han/id1602229739>(poetry)
Postdoctoral <https://www.research.manchester.ac.uk/portal/lifeng.han.html>
Research Associate at HECTA <https://github.com/HECTA-UoM> group, The
University of Manchester, UK
https://www.research.manchester.ac.uk/portal/lifeng.han.html Office: 2.90
Kilburn, Oxford Road, Manchester
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