11^th Workshop on the Challenges in the Management of Large Corpora (CMLC)
The next meeting of CMLC will be held as part ofCorpus Linguistics 2023
<https://wp.lancs.ac.uk/cl2023/> in Lancaster, UK, on the 2^nd of July,
2023.
See https://corpora.ids-mannheim.de/cmlc-2023.html for up-to-date
information.
Important dates
* Deadline for abstract submission: the 27^th of April 2023 (Thursday,
23:59 UTC)
* Notification of acceptance: the 11^th of May 2023 (Thursday)
* Deadline for the submission of camera-ready papers: the 4^th of June
2023 (Sunday)
* Meeting: Sunday, the 2^nd of July 2023 (room/hour TBA)
Abstract submission
* We invite anonymised extended abstracts for/oral presentations/on
the topics listed below (/ideally/using theACL-2023 templates
<https://2023.aclweb.org/calls/style_and_formatting/>, or PDF,
1000-1500 words excluding references, font preferably 11 pt, line
spacing 1.5).
* CMLC has always reserved a track for national corpus project
reports, and to this end, we invite/poster proposals/of 500-750
words. National project reports need not be anonymised.
Submissions are accepted through the EasyChair submission system,
athttps://easychair.org/conferences/?conf=cmlc11.
Please note that each CMLC event produces a volume of proceedings
(published in Open Access before the meeting), where both oral and
poster contributions have equal status./All/final submissions to the
2023 proceedings volume will be expected to be formatted according to
theACLPUB guidelines
<https://acl-org.github.io/ACLPUB/formatting.html>and to pass
theaclpubcheck <https://github.com/acl-org/aclpubcheck>.
Workshop description
The upcoming CMLC meeting continues the successful series of “Challenges
in the management of large corpora” events, previously hosted at LREC
(since 2012) and CL (since 2015) conferences. As in the previous
meetings, we wish to explore common areas of interest across a range of
issues in language resource management, corpus linguistics, natural
language processing, and data science.
Large textual datasets require careful design, collection, cleaning,
encoding, annotation, storage, retrieval, and curation to be of use for
a wide range of research questions and to users across a number of
disciplines. A growing number of national and other very large corpora
are being made available, many historical archives are being digitised,
numerous publishing houses are opening their textual assets for text
mining, and many billions of words can be quickly sourced from the web
and online social media.
A number of key themes and questions emerge of interest to the
contributing research communities: (a) what can be done to deal with IPR
and data protection issues? (b) what sampling techniques can we apply?
(c) what quality issues should we be aware of? (d) what infrastructures
and frameworks are being developed for the efficient storage,
annotation, analysis and retrieval of large datasets? (e) what
affordances do visualisation techniques offer for the exploratory
analysis approaches of corpora? (f) what kinds of APIs or other means of
access would make the corpus data as widely usable as possible without
interfering with legal restrictions? (g) how to guarantee that corpus
data remain available and usable in a sustainable way?
Motivation and topics of interest
This year’s event will cover the entire range of the standard CMLC
themes, with some new additions:
*
New and hot topics
o Language Models
+ What linguistic insights can we gain by post-hoc language
model analysis in the age of ChatGPT?
+ How can we avoid the proliferation of stereotypes in terms
of both linguistic surface form and content when using
language models for linguistic analysis?
o Societal and legal issues relevant for corpora and studies
+ political and sociological balance ○ social media bubbles,
hate speech and fake news
+ proliferation of stereotypes via corpora and language models
+ corpora as archives of the past: evolution in mentalities or
laws, personality rights
o How to make corpora as accessible as possible despite big data
issues, application heterogeneity, and IPR issues
+ What are the most interesting APIs and libraries to build,
analyse and access very large corpora?
+ How can we get us researchers to use existing research
tools, infrastructures, libraries and APIs in research and
teaching?
*
Linguistic content challenges
o Dealing with the variety of language resources: multilinguality,
historical texts, noisy OCR texts, user-generated content, etc.
o Integration of human computation (crowdsourcing) and automatic
annotation
o Quality management of annotations
*
Technical challenges
o Storage and retrieval solutions for big textual data corpora:
primary data, metadata, and annotation data
o Scalable and efficient NLP tooling for annotating and analysing
large datasets: distributed and GPGPU computing; using big data
analysis frameworks for language processing
o Dealing with streaming (e.g. Social Media) and rapidly changing
underlying data
*
Exploitation challenges
o Legal and privacy issues
o Query languages, data models, and standardisation
o Licensing models of open and closed data, coping with
intellectual property restrictions
o Innovative approaches for aggregation and visualisation of text
analytics
In the tradition of CMLC, we invite reports on national corpus
initiatives; submitters of these reports should be prepared to present a
poster along with a short presentation.
Programme Committee: TBA
Names will be added as Programme Committee members confirm their
participation.
Organising Committee
Institut für Deutsche Sprache, Mannheim
📩 Piotr Bański,Marc Kupietz,Harald Lüngen
Berlin-Brandenburg Academy of Sciences
📩 Adrien Barbaresi
Institute of Computational Linguistics, University of Zurich
Simon Clematide
Homepage
CMLC series homepage is located athttp://corpora.ids-mannheim.de/cmlc.html
--
Piotr Bański, Ph.D.
Senior Researcher,
Leibniz-Institut für Deutsche Sprache,
R5 6-13
68-161 Mannheim, Germany
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