[apologies for cross-postings]
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17th Workshop on Multiword Expressions (MWE 2021)
Colocated with ACL-IJCNLP 2021 (Bangkok, Thailand), 5 or 6 August 2021
***Deadline: April 19, 2021***
https://multiword.org/mwe2021/
Second call for papers
Organised and sponsored by: SIGLEX, the Special Interest Group on the
Lexicon of the ACL
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Multiword expressions (MWEs) are word combinations which exhibit
lexical, syntactic, semantic, pragmatic and/or statistical
idiosyncrasies (Baldwin & Kim 2010), such as by and large, hot dog,
pay a visit and pull one's leg. The notion encompasses closely related
phenomena: idioms, compounds, light-verb constructions, rhetorical
figures, institutionalised phrases, collocations, etc. The behaviour
of MWEs is often unpredictable, in particular their meanings are not
regularly composed of the meanings of their parts. Thus, MWEs are a
major challenge in computational linguistics (Constant et al. 2017),
including linguistic modelling (e.g. treebanking), computational
modelling (e.g. parsing), and end-user NLP applications (e.g. natural
language understanding, machine translation, and social media mining).
Modelling and processing MWEs for NLP has been the topic of the MWE
workshop organised by the MWE section (see https://multiword.org) of
SIGLEX in conjunction with major NLP conferences since 2003. Although
much progress has been made in the field, MWE processing in end-user
NLP tasks is currently under-explored, and most studies still
introduce MWEs as future work. Nonetheless, there are recent studies
in which MWEs gained particular attention in end-user applications,
including machine translation (Zaninello & Birch 2020), text
simplification (Kochmar et al. 2020, Liu & Hwa 2016), language
learning and assessment (Paquot et al. 2019, Christiansen & Arnon
2017), social media mining (Maisto et al. 2017), and abusive language
detection (Zampieri et al. 2020, Caselli et al. 2020).
The special focus for this 17th edition of the workshop is on MWE
processing in end-user applications such as those listed above. On the
one hand, the PARSEME shared tasks (Ramisch et al. 2020, Ramisch et
al. 2018, Savary et al. 2017), among others, fostered significant
progress in MWE identification, providing datasets, evaluation
measures and tools that now allow fully integrating MWE identification
into end-user applications. On the other hand, NLP seems to be
shifting towards end-to-end neural models capable of solving complex
end-user tasks with little or no intermediary linguistic symbols,
questioning the extent to which MWEs should be implicitly or
explicitly modelled. Therefore, one goal of this workshop is to bring
together and encourage researchers in various NLP subfields to submit
MWE-related research, so that approaches that deal with MWEs in
various applications could benefit from each other.
Following the success of previous joint workshops LAW-MWE-CxG 2018,
MWE-WN 2019 and MWE-LEX 2020, we further extend the scope of the
workshop to MWEs in e-lexicons and WordNets, MWE annotation, as well
as grammatical constructions.
The 17th Workshop on MWEs invites submissions on (but not limited to)
the following topics:
**Traditional MWE topics:**
- Computationally-applicable theoretical work on MWEs and
constructions in psycholinguistics and corpus linguistics
- MWE and construction annotation and representation in resources such
as corpora, treebanks, e-lexicons and WordNets
- Processing of MWEs and constructions in syntactic and semantic
frameworks (e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.)
- Discovery and identification methods for MWEs and constructions
- MWEs and constructions in language acquisition, language learning,
and non-standard language (e.g. tweets, speech)
- Evaluation of annotation and processing techniques for MWEs and constructions
- Retrospective comparative analyses from the PARSEME shared tasks on
automatic identification of MWEs
**Topics on MWEs and end-user applications:**
- Processing of MWEs and constructions in end-user applications (e.g.
MT, NLU, summarisation, social media mining, computer assisted
language learning)
- Implicit and explicit representation of MWEs and constructions in
end-user applications
- Evaluation of end-user applications concerning MWEs and constructions
- Resources and tools for MWEs and constructions (e.g. lexicons,
identifiers) in end-user applications
== JOINT SESSION WITH WOAH WORKSHOP ==
Pursuing the MWE Section's tradition of synergies with other
communities and in accordance with ACL-IJCNLP 2021's theme track on
NLP for social good, we will organise a joint session with the
Workshop on Online Abuse and Harm (WOAH) (see
https://www.workshopononlineabuse.com/) . We believe that MWEs are
important in online abuse detection, and that the latter can provide
an interesting testbed for MWE processing technology. The main goal is
to pave the way towards the creation of data for a shared task
involving both communities. The format of the session is under
discussion, and we welcome suggestions from the community. Submissions
describing research on MWEs and abusive language, especially
introducing new datasets, are also welcome.
== SUBMISSION MODALITIES ==
- Long papers (8 content pages + references) should report on solid
and finished research including new experimental results, resources
and/or techniques.
- Short papers (4 content pages + references) should report on small
experiments, focused contributions, ongoing research, negative results
and/or philosophical discussion.
In regular research papers, the reported research should be
substantially original. Papers available as preprints can also be
submitted provided that they fulfil the conditions defined by the ACL
Policies for Submission, Review and Citation (see
https://www.aclweb.org/portal/content/new-policies-submission-review-and-citation),
in particular the ACL Author Guidelines (see
https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines).
Notice that double submission to ACL-IJCNLP 2021 main conference and
MWE 2021 is allowed but should be notified at submission time, as per
the ACL-IJCNLP 2021 call for papers (see
https://2021.aclweb.org/calls/papers/#multiple-submission-policy):
"[...] papers can be dual-submitted to both ACL-IJCNLP 2021 and an
ACL-IJCNLP 2021 workshop which has its submission deadline falling
before our notification date of May 5, 2021."
Submission is double-blind as per the ACL-IJCNLP 2021 guidelines (see
https://2021.aclweb.org/calls/papers/#paper-submission-information).
For all types of submission, the ACL-IJCNLP 2021 templates (see
https://2021.aclweb.org/calls/papers/#paper-submission-and-templates)
must be used. There is no limit on the number of reference pages. An
extra page will be allowed to take the reviewers' comments into
account in the final versions of accepted papers (long = 9 content
pages, short = 5 content pages).
The decisions as to oral or poster presentations of the selected
papers will be taken by the PC chairs, depending on the available
infrastructure for participation (presential and/or virtual). No
distinction between papers presented orally and as posters is made in
the workshop proceedings.
All papers should be submitted via the workshop's START space,
available soon. Please choose the appropriate submission modality
(long/short):
https://www.softconf.com/acl2021/w14_MWE2021/.
== CONTACT ==
For any inquiries regarding the workshop please send an email to
mweworkshop2021@xxxxxxxxx
== IMPORTANT DATES ==
All deadlines are at 23:59 UTC-12 (anywhere in the world).
- April 19, 2021: Paper Submission Deadline
- May 28, 2021: Notification of Acceptance
- June 7, 2021: Camera-ready papers due
- August 5 or 6, 2021: Workshop (Date TBD)
== ORGANIZERS ==
Program chairs: Paul Cook, Jelena Mitrović, Carla Parra Escartín and
Ashwini Vaidya
Publication chairs: Petya Osenova and Shiva Taslimipoor
Communication chair: Carlos Ramisch
--
Paul Cook
Associate Professor
Faculty of Computer Science
University of New Brunswick
tel: +1 506-447-3466
web: http://www.cs.unb.ca/~ccook1
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