*Asia Pacific Journal of Corpus Research (APJCR) is now available online:*
http://icr.or.kr/ejournals-apjcr
*The Incredible Shrinking Noun Phrase: Ongoing Change in Japanese Word
Formation*Kevin Heffernan, (Kwansei Gakuin University), JAPAN; Yusuke
Imanishi (Kwansei Gakuin University), JAPAN
DOI: https://doi.org/10.22925/apjcr.2023.4.1.1
________________________________________
*Identifying Key Grammatical Errors of Japanese English as a Foreign
Language Learners in a Learner Corpus: Toward Focused Grammar Instruction
with Data-Driven Learning*
Atsushi Mizumoto (Kansai University), JAPAN; Yoichi Watari (Chukyo
University), JAPAN
DOI: https://doi.org/10.22925/apjcr.2023.4.1.25
________________________________________
*A Comparison of the Constructions Make / Take a Decision in Malaysian
English with the Supervarieties *
Christina Sook Beng Ong (Wawasan Open University), MALAYSIA
DOI: https://doi.org/10.22925/apjcr.2023.4.1.43
________________________________________
*Effects of Corpus Use on Error Identification in L2 Writing *
Yoshiho Satake (Aoyama Gakuin University), JAPAN
DOI: https://doi.org/10.22925/apjcr.2023.4.1.61
---
*CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford*
Associate Professor | Department of English Language and Literature,
Incheon National University, *South Korea*
President | The Korea Association of Secondary English Education, *South
Korea *(http://kasee.org)
Vice President | The Korea Association of Primary English Education), *South
Korea *(http://kapee.or.kr)
Director | Institute for Corpus Research, Incheon National University, *South
Korea* (http://icr.or.kr)
Editor-in-Chief | Asia Pacific Journal of Corpus Research, ICR,
*International* (http://icr.or.kr/apjcr)
Editorial Board | Corpora, Edinburgh University Press, *UK*
Editorial Board | English Today, Cambridge University Press, *UK*
E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129
H(EN): http://ckjung.org
== 12th NLP4CALL, Tórshavn, Faroe Islands==
The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promote development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other.
The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools.
The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field.
We welcome papers:
- that describe research directly aimed at ICALL;
- that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning;
- that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback;
- that discuss challenges and/or research agenda for ICALL
- that describe empirical studies on language learner data.
This year a special focus is given to work done on error detection/correction and feedback generation.
We encourage paper presentations and software demonstrations describing the above- mentioned themes primarily, but not exclusively, for the Nordic languages.
==Shared task==
NEW for this year is the MultiGED shared task on token-level error detection for L2 Czech, English, German, Italian and Swedish, organized by the Computational SLA working group.
For more information, please see the Shared Task website: https://github.com/spraakbanken/multiged-2023
==Invited speakers==
This year, we have the pleasure to announce two invited talks.
The first talk is given by Marije Michel from the University of Amsterdam.
The second talk is given by Pierre Lison from the Norwegian Computing Center.
==Submission information==
Authors are invited to submit long papers (8-12 pages) alternatively short papers (4-7 pages), page count not including references.
We will be using the NLP4CALL template for the workshop this year. The author kit can be accessed here, alternatively on Overleaf:
<https://spraakbanken.gu.se/sites/default/files/2023/NLP4CALL%20workshop%20t…>
<https://spraakbanken.gu.se/sites/default/files/2023/nlp4call%20template.doc>
<https://www.overleaf.com/latex/templates/nlp4call-workshop-template/qqqzqqy…>
Submissions will be managed through the electronic conference management system EasyChair <https://easychair.org/conferences/?conf=nlp4call2023>. Papers must be submitted digitally through the conference management system, in PDF format. Final camera-ready versions of accepted papers will be given an additional page to address reviewer comments.
Papers should describe original unpublished work or work-in-progress. Papers will be peer reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be submitted for publication in the NEALT Proceeding Series (Linköping Electronic Conference Proceedings) and, additionally, double-published through the ACL anthology, following experiences from the previous NLP4CALL editions (<https://www.aclweb.org/anthology/venues/nlp4call/>).
==Important dates==
03 April 2023: paper submission deadline
21 April 2023: notification of acceptance
01 May 2023: camera-ready papers for publication
22 May 2023: workshop date
==Organizers==
David Alfter (1), Elena Volodina (2), Thomas François (3), Arne Jönsson (4), Evelina Rennes (4)
(1) Gothenburg Research Infrastructure for Digital Humanities, Department of Literature, History of Ideas, and Religion, University of Gothenburg, Sweden
(2) Språkbanken, Department of Swedish, Multilingualism, Language Technology, University of Gothenburg, Sweden
(3) CENTAL, Institute for Language and Communication, Université Catholique de Louvain, Belgium
(4) Department of Computer and Information Science, Linköping University, Sweden
==Contact==
For any questions, please contact David Alfter, david.alfter(a)gu.se
For further information, see the workshop website <https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…>
Follow us on Twitter @NLP4CALL <https://twitter.com/NLP4CALL/>
An opportunity to join the Assessment Research Group at the British Council as Researcher: AI & Data Science in Assessment. Full details and link to application here: https://careers.britishcouncil.org/job/London-Researcher-AI-&-Data-Science-…
For any enquiries, feel free to contact me. Deadline for applications is 1st April.
The British Council is the United Kingdom's international organisation for cultural relations and educational opportunities. A registered charity: 209131 (England and Wales) SC037733 (Scotland). This message is for the use of the intended recipient(s) only and may contain confidential information. If you have received this message in error, please notify the sender and delete it. The British Council accepts no liability for loss or damage caused by viruses and other malware and you are advised to carry out a virus and malware check on any attachments contained in this message.
[Apologies for cross-posting]
Dear colleagues
We are inviting submissions for the next issue of Asia Pacific Journal of
Corpus Research, to appear on 31 December 2023.
*ABOUT*The Asia Pacific Journal of Corpus Research (APJCR, e-ISSN
2733-8096, DOI: https://doi.org/10.22925/apjcr) is an international and
interdisciplinary peer-reviewed journal intended to explore corpus research
in the Asia Pacific region. APJCR addresses areas of methodological,
applied and theoretical work in the field of corpus research. Examples of
such include discourse analysis, lexical studies, grammatical studies,
language acquisition, language learning, language education, lexicography,
pragmatics, sociolinguistics, (machine) translation studies, (digital)
literary studies, computational linguistics, speech, phonetics, deep
learning and natural language understanding in conjunction with corpus.
*NO ARTICLE PROCESS CHARGE*APJCR does not charge authors an Article
Processing Fee (APF).
*OPEN ACCESS POLICY*APJCR provides open access to its content under the
principle in the academic field that making research freely available to
the public supports a greater global exchange of knowledge.
*SUBMISSION*
Papers (in English or Korean) should be sent to *apjcreditor(a)icr.or.kr
<apjcreditor(a)icr.or.kr>*
*Full instruction can be found on http://icr.or.kr/apjcr
<http://icr.or.kr/apjcr>*
*IMPORTANT DATES*- Manuscript submission: 15 October 2023
- First decision (articles assessed by editors): October 2023
- Final decision: November 2023
- Production: December 2023
- Online publication: 31 December 2023
*APJCR ARCHIVE*- Google Scholar:
https://scholar.google.co.kr/scholar?hl=ko&as_sdt=0%2C5&q=apjcr&btnG=
- KoreaScience: http://koreascience.or.kr/journal/CPSOBX/v1n1.page
*ENQUIRIES*
help(a)icr.or.kr
---
*CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford*
Associate Professor | Department of English Language and Literature,
Incheon National University, *South Korea*
President | The Korea Association of Secondary English Education, *South
Korea *(http://kasee.org)
Vice President | The Korea Association of Primary English Education), *South
Korea *(http://kapee.or.kr)
Director | Institute for Corpus Research, Incheon National University, *South
Korea* (http://icr.or.kr)
Editor-in-Chief | Asia Pacific Journal of Corpus Research, ICR,
*International* (http://icr.or.kr/apjcr)
Editorial Board | Corpora, Edinburgh University Press, *UK*
Editorial Board | English Today, Cambridge University Press, *UK*
E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129
---------------------------------------------------------------
First CALL FOR PAPERS
----------------------------------------------------------------
International Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) @ACL 2024 (https://splu-robonlp-2024.github.io/ <https://splu-robonlp-2024.github.io/>)
Location: Bangkok, Thailand
Date: August 16, 2024
---------------------------------------------------------------
IMPORTANT DATES
---------------------------------------------------------------
Important Dates
- Submission Deadline: 17 May 2024 (Anywhere on Earth)
- Notification of Acceptance: 17 June 2024 (Anywhere on Earth)
- Camera Ready Deadline: 1 July 2024 (Anywhere on Earth)
- Workshop Day: 16 August 2024 (co-located with ACL 2024)
---------------------------------------------------------------
AIM AND SCOPE
---------------------------------------------------------------
Leveraging the foundation built in the prior workshops SpLU-RoboNLP 2023, SpLU-RoboNLP 2021, SpLU 2020, SpLU-RoboNLP 2019, SpLU 2018, and RoboNLP 2017, we propose the fourth combined workshop on Spatial Language Understanding and Grounded Communication for Robotics. Natural language communication with general-purpose embodied robots has long been a dream inspired by science fiction, and natural language interfaces have the potential to make robots more accessible to a wider range of users. Achieving this goal requires the continuous improvement of and development of new technologies for linking language to perception and action in the physical world. In particular, given the rise of large vision and language generative models, spatial language understanding and natural interactions have become more exciting topics to explore. This joint workshop aims to bring together the perspectives of researchers working on physical robot systems with human users, simulated embodied environments, multimodal interaction, and spatial language understanding to forge collaborations.
---------------------------------------------------------------
TOPICS OF INTEREST
---------------------------------------------------------------
We are interested in but not limited to original research in developing computational models, benchmarks, evaluation metrics, analysis, surveys, and position papers on the following topics:
- Deployment of Large Language Models for Situated Dialogue and Language Grounding
- Spatial Reasoning with Large Language Models
- Aligning and Translating Language to Situated Actions
- Evaluation Metrics for Language Grounding and Human-Robot Communication
- Human-Computer Interactions Through Natural or Structural Language
- Instruction Understanding and Spatial Reasoning based on Multimodal Information for Navigation, Articulation, and Manipulation
- Interactive Situated Dialogue for Physical Tasks
- Language-based Game Playing for Grounding
- Spatial Language and Skill Learning via Grounded Dialogue
- (Spatial) Language Generation for Embodied Tasks
- (Spatially-) Grounded Knowledge Representations
- Spatial Reasoning in Image and Video Diffusion Models
- Qualitative Spatial Representations and Neuro-symbolic Modeling
- Utilization and Limitations of Large (Multimodal-)Language Models in Spatial Understanding and Grounded Communication
---------------------------------------------------------------
INVITED SPEAKERS
---------------------------------------------------------------
We are open to the nomination of speakers and encourage self-nomination. The speakers are REQUIRED to attend the workshop in person. We aim to gather a diverse set of senior/junior speakers from academia/industry who work on related topics in language, vision and robotics and did not have a chance to speak in the past versions of the workshop.
If you are interested, please email splu-robonlp2024(a)googlegroups.com <mailto:splu-robonlp2024@googlegroups.com> and include your tentative topic.
---------------------------------------------------------------
SUBMISSION AND SELECTION PROCESS
---------------------------------------------------------------
* Long Papers *
Technical papers: ACL style, 8 pages excluding references
* Short Papers *
Position statements describing previously unpublished work or demos: ACL style, 4 pages excluding references
ACL Style Files (GitHub): https://github.com/acl-org/ACLPUB/tree/master/templates <https://github.com/acl-org/ACLPUB/tree/master/templates>
ACL Style Files (Overview): https://www.overleaf.com/read/crtcwgxzjskr <https://www.overleaf.com/read/crtcwgxzjskr>
OpenReview Submission: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SpLU-RoboNLP <https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SpLU-RoboNLP>
Non-Archival Option: ACL workshops are traditionally archival. To allow dual submission of your work to SpLU-RoboNLP 2024 from *ACL Findings and other conferences/journals, we are also including a non-archival track. Space permitting, these submissions will still participate and present their work in the workshop, and will be hosted on the workshop website, but will not be included in the official proceedings. Please apply the ACL format and submit through OpenReview, but indicate that this is a cross-submission (non-archival) at the bottom of the submission form.
---------------------------------------------------------------
ORGANIZING COMMITTEE
---------------------------------------------------------------
Parisa Kordjamshidi, Michigan State University
Malihe Alikhani, Northeastern University
Xin Eric Wang, University of California Santa Cruz
Yue Zhang, Michigan State University
Ziqiao Ma, University of Michigan
Mert Inan, Northeastern University
---------------------------------------------------------------
ADVISING COMMITTEE
---------------------------------------------------------------
Raymond J. Mooney, The University of Texas at Austin
Joyce Y. Chai, University of Michigan
Anthony G. Cohn, University of Leeds
---------------------------------------------------------------
CONTACT
---------------------------------------------------------------
Feel free to contact the Organizing Committee at splu-robonlp2024(a)googlegroups.com <mailto:splu-robonlp2024@googlegroups.com>.
-------------------------------------------
------------------------------------------------
Kordjamshidi, Parisa
Assistant Professor
Computer Science and Engineering
Michigan State University
http://www.cse.msu.edu/~kordjams/ <http://www.cse.msu.edu/~kordjams/>
Heterogeneous Learning & Reasoning Lab: https://hlr.github.io/
Woman, Life, Freedom
*Apologies for crossposting*
We are proud to announce that the Multilingual Holistic Bias task is now open in Dynabench <https://dynabench.org/>. The main objectives of this task are:
To investigate the quality of MT systems on the particular case of gender preservation for tens of languages
To examine and understand special gender challenges in translating in different language families.
To investigate the performance of gender translation of low-resource, morphologically rich languages
To open to the community the first challenge of this kind
While the task is intended to be open without a particular deadline, we encourage you to submit models by April 15th and participate in the shared task from the 5th Workshop on Gender Bias in Natural Language Processing <https://genderbiasnlp.talp.cat/gebnlp-2024/shared-task-on-machine-translati…>.
We are looking forward to having your participation!
Shared Task organizers
*Apologies for cross-posting*
First Workshop on Knowledge-Enhanced Machine Translation
Sheffield, United Kingdom, on June 27, 2024
https://kemt2024.wixsite.com/home
First Call for Papers
The 1st edition of the Workshop on Knowledge-Enhanced Machine Translation
will be held in Sheffield, United Kingdom, on June 27, 2024, co-located
with EAMT 2024. We welcome submissions either of research papers or
extended abstracts/industry reports. Full research papers should describe
original, unpublished content, while extended abstracts are open to
reporting preliminary results of ongoing research. Industry reports should
demonstrate the impact of conceptual modelling in a real-world setting,
arguing for generalisability of methods and lessons learned. Potential
submission topics encompass, but are not restricted to:
-
Integration of external terminology and constrained decoding
-
Integration of translation memories and similar translations from
external sources
-
Leveraging any kind of linguistic information
-
Data augmentation techniques
-
Using large language models to integrate external resources
-
Knowledge graphs
-
Integration of translation quality indicators for improving final MT
output
-
Quality assessment of knowledge-enhanced MT systems
-
Utilising quality estimation systems for improving MT performance
Submission information
The workshop accepts submissions in two different modalities:
-
Full research papers: Submissions will be accepted as papers of at least
4 up to 10 pages (plus unlimited pages for references and appendices).
-
Extended abstracts/industry reports:Submissions will be accepted as
papers of up to 2 pages. The references are not included in the 2-page
limit.
Accepted submissions will be presented either as posters or oral
communications, as decided by the program committee. Accepted submissions
will be published online as proceedings included in the ACL Anthology,
unless the authors specify otherwise.
Submissions should be formatted according to the EAMT 2024 guidelines (PDF,
LaTeX, Word)
<https://eamt2024.sheffield.ac.uk/conference-calls/2nd-call-for-papers#h.45w…>
and submitted in PDF through OpenReview page (
https://openreview.net/group?id=EAMT.org/2024/Workshop/KEMT ).
Important dates
-
Workshop paper/abstracts due: 15th April 2024
-
Notification of acceptance: 15th May 2024
-
Camera-ready papers/extended abstracts due: 27th May 2024
-
Workshop date: 27th June 2024
Follow us on Twitter: https://twitter.com/kemt2024
--
Miquel Esplà-Gomis
Departament de Llenguatges i Sistemes Informàtics
Universitat d'Alacant
Carretera de Sant Vicent del Raspeig s/n
03690 Sant Vicent del Raspeig, Alacant (Spain)
Tel: +34 965903400 ext. 2424
Dear all,
We are excited to announce the upcoming "Celtic Languages in the Digital Age" workshop, scheduled for April 9, 2024, at Lancaster University.
This is a hybrid event of talks and panel discussion, organised by the UCREL NLP Group and funded by the Faculty of Science and Technology's Research Catalyst Fund, aims to address the critical need for linguistic resources supporting Celtic languages.
Event Details:
- Date: April 9, 2024
- Location: Lancaster University
- Format: Hybrid with online broadcast (free registration)
- Register to attend online: https://bit.ly/clida2024
The workshop will gather experts in Celtic languages, linguistics, corpus linguistics, computer science, and computational linguistics to explore the development of language models for under-resourced languages, including Welsh, Irish, Scottish Gaelic, Cornish, Breton, and Manx. We also have a talk on the use of transfer learning to create language models for low-resourced languages taking Luxembourgish as a use case.
Programme, list of speakers and talks details can be found on the event's website: https://wp.lancs.ac.uk/celtic/
If you are in or near Lancaster and would like to attend in person, do get in touch with me as we have a few places left, attending in person is free, lunch and refreshments will be provided on the day.
Best wishes,
Mo
--------------------------------
Dr Mo El-Haj
Senior Lecturer in NLP
Director of Admissions (SCC)
Co-Director of UCREL NLP Group<https://ucrel.lancs.ac.uk/>
Natural Language Engineering (NLE) Journal Editorial Board
https://www.cambridge.org/core/journals/natural-language-engineering
Advisory Board of the Natural Language Processing Book Series
https://benjamins.com/catalog/nlp
School of Computing and Communications, Lancaster University
https://www.lancaster.ac.uk/staff/elhaj
@DocElhaj<https://twitter.com/DocElhaj>
You may receive emails from me outside what are your typical office hours.
I do not expect you to respond to my email outside your working hours.
I have a postdoc opening in my lab with *applications due April 10th*. See
Bullard Research Fellow (BRF) area 7 (“*BRF7*”) in the job ad here:
https://apply.interfolio.com/142711.
"BRF7) We seek applicants in natural language processing (NLP), information
retrieval (IR), and human computation & crowdsourcing (HCOMP). Our work on
responsible AI develops methods for model explanations and fairness. We
build automated and human-in-the-loop models. We develop general methods to
advance the state-of-the-art, grounded in social challenges like curbing
disinformation and hate speech. A variety of our ongoing work touches on
large language models (LLMs). This position will be mentored by Matt Lease
<https://www.ischool.utexas.edu/~ml/>, as part of his lab for Artificial
Intelligence and Human-Centered Computing <http://ai.ischool.utexas.edu/>
(AI&HCC), and provide collaboration opportunities in UT Austin’s
campus-wide Good Systems <http://goodsystems.utexas.edu/> grand challenge
for responsible AI."
Please see the job ad for full details about the opening:
https://apply.interfolio.com/142711.
--
Matt Lease
Professor
Information & Computer Science
University of Texas at Austin
Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536
http://www.ischool.utexas.edu/~ml
** Call for Research Papers **
Scholarly literature is the chief means by which scientists and academics
document and communicate their results and is therefore critical to the
advancement of knowledge and improvement of human well-being. At the same
time, this literature poses challenges to NLP uncommon in other genres,
such as specialized language and high background knowledge requirements,
long documents and strong structural conventions, multimodal presentation,
citation relationships among documents, an emphasis on rational
argumentation, and the frequent availability of detailed metadata. These
challenges necessitate the development of NLP methods and resources
optimized for this domain. The Scholarly Document Processing (SDP) workshop
provides a venue for discussing these challenges, bringing together
stakeholders from different communities including computational
linguistics, machine learning, text mining, information retrieval, digital
libraries, scientometrics and others, to develop methods, tasks, and
resources in support of these goals.
This workshop builds on the success of prior workshops: the 1st, 2nd, and
3rd SDP workshops held at EMNLP 2020, NAACL 2021, and COLING 2022, and the
1st and 2nd SciNLP workshops held at AKBC 2020 and 2021. In addition to
having broad appeal within the NLP community, we hope the SDP workshop will
attract researchers from other relevant fields including meta-science,
scientometrics, data mining, information retrieval, and digital libraries,
bringing together these disparate communities within ACL.
Website: https://sdproc.org/2024/
X (Twitter): https://twitter.com/sdpworkshop
Topics of Interest
We invite submissions from all communities demonstrating usage of and
challenges associated with natural language processing, information
retrieval, and data mining of scholarly and scientific documents. Relevant
topics include (but are not limited to):
-
Large Language Models (LLMs) for Science
-
Representation learning and language modeling
-
Information extraction and NER
-
Document understanding
-
Summarization and generation
-
Question-answering
-
Discourse modeling/argumentation mining
-
Network analysis
-
Bibliometrics, scientometrics, and altmetrics
-
Reproducibility and research integrity, including new challenges posed
by generative AI
-
Peer review tools, principles and technology
-
Metadata and indexing
-
Inclusion of datasets and computational resources
-
Research infrastructures and digital libraries
-
Increasing the representation in scholarly work of disadvantaged
populations
-
LLM-based interfaces to consume/produce scholarly documents
** Submission Information **
Authors are invited to submit full and short papers with unpublished,
original work. Submissions will be subject to a double-blind peer-review
process. Accepted papers will be presented by the authors at the workshop
either as a talk or a poster. All accepted papers will be published in the
workshop proceedings (proceedings from previous years can be found here:
https://aclanthology.org/venues/sdp/).
The submissions must be in PDF format and anonymized for review. All
submissions must be written in English and follow the ACL 2024 formatting
requirements:
Long paper submissions: up to 8 pages of content, plus unlimited references.
Short paper submissions: up to 4 pages of content, plus unlimited
references.
Submission Website: Paper submission has to be done through openreview: <
https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SDProc>
Final versions of accepted papers will be allowed 1 additional page of
content so that reviewer comments can be taken into account.
** Important Dates (Main Research Track) **
Paper submission deadline: May 17 (Friday), 2024
Notification of acceptance: June 17 (Monday), 2024
Camera-ready paper due: July 1 (Monday), 2024
Workshop dates: August 16, 2024
** SDP 2024 Keynote Speakers **
We are excited to have several keynote speakers at SDP 2024.
1.
Iryna Gurevych, Professor at Technical University Darmstadt and head of
the UKP Lab, Germany.
2.
Anna Rogers, Assistant Professor, University of Copenhagen, Denmark
3.
Heng Ji, Professor, University of Illinois at Urbana-Champaign, USA.
4.
Doug Downey, Associate Professor at Northwestern University and Research
Manager at Allen Institute for AI, USA.
** SDP 2024 Shared Tasks **
SDP 2024 will host two exciting shared tasks. More information about all
shared tasks is provided on the workshop website:
https://sdproc.org/2024/sharedtasks.html
DAGPap24: Detecting automatically generated scientific papers
A big problem with the ubiquity of Generative AI is that it has now become
very easy to generate fake scientific papers. This can erode public trust
in science and attack the foundations of science: are we standing on the
shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP)
competition aims to encourage the development of robust, reliable
AI-generated scientific text detection systems, utilizing a diverse dataset
and varied machine learning models in a number of scientific domains.
Organizers: Savvas Chamezopoulos, Yury Kashnitsky, Drahomira Herrmannova,
Anita de Waard (Elsevier), Domenic Rosati (Scite)
Context24: Contextualizing Scientific Figures and Tables
When making sense of results across many research papers on a topic,
figures or tables of key results from the papers can serve as effective,
information-dense summaries that can be compared/contrasted and synthesized
with other results. However, to understand the results, key elements (e.g.,
measures, sample) need to be contextualized with associated methodological
details, which are typically dispersed throughout the text, often far from
the figure/table and from each other. In this shared task, we are
interested in contextualizing scientific figures and tables, i.e.,
automatically retrieving and ranking snippets from the paper that are most
needed to interpret their results, with the goal of making figures/tables
more self-contained.
Organizers: Joel Chan, Matthew Akamatsu
** Organizing Committee **
Tirthankar Ghosal, Oak Ridge National Laboratory, USA
Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Germany
Aakanksha Naik, Allen Institute for AI, USA
Shannon Shen, Massachusetts Institute of Technology, USA
Amanpreet Singh, Allen Institute for AI, USA
Anita de Waard, Elsevier, Netherlands
Orion Weller, Johns Hopkins University, USA
Yanxia Qin, National University of Singapore, Singapore
Yoonjoo Lee, Korea Advanced Institute of Science & Technology, South Korea
--
+++++++++++++++++++++++++++++++++++
*Tirthankar Ghosal*
Scientist
National Center for Computational Sciences (NCCS)
Oak Ridge National Laboratory, United States
++++++++++++++++++++++++++++++++++++