Apologies for cross-posting.
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The Seventh Workshop on Technologies for Machine Translation of Low-Resource
Languages (LoResMT 2024)
https://www.loresmt.org/
@ ACL 2024 (August 11–16, 2024)
Bangkok, Thailand
SUBMISSION
https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/LoResMT
TIMELINE
Paper submission due: May 17 (Friday), 2024, at 23:59 (Anywhere on Earth)
Notification of acceptance: June 17 (Monday), 2024
Camera-ready papers due: July 1 (Monday), 2024, at 23:59 (Anywhere on Earth)
Workshop dates at ACL: August 15, 2024
SCOPE
Based on the success of past low-resource machine translation (MT)
workshops at AMTA 2018 (https://amtaweb.org/), MT Summit 2019 (
https://www.mtsummit2019.com), AACL-IJCNLP 2020 (http://aacl2020.org/),
AMTA 2021, COLING 2022 and EACL 2023, we introduce the Seventh LoResMT
Workshop at ACL 2024. The workshop provides a discussion panel for
researchers working on MT systems/methods for low-resource and
under-represented languages in general. We would like to help
review/overview the state of MT for low-resource languages and define the
most important directions. We also solicit papers dedicated to
supplementary NLP tools that are used in any language and especially in
low-resource languages. Overview papers on these NLP tools are very
welcome. It will be beneficial if the evaluations of these tools in
research papers include their impact on the quality of MT output.
TOPICS
We are highly interested in (1) original research papers, (2)
review/opinion papers, and (3) online systems on the topics below; however,
we welcome all novel ideas that cover research on low-resource languages.
- Neural machine translation (NMT) for low-resource languages
- Use of LLMs (large language models) for low-resource MT systems
- COVID-related corpora, their translations and corresponding NLP/MT systems
- Work that presents online systems for practical use by native speakers
- Word tokenizers/de-tokenizers for specific languages
- Word/morpheme segmenters for specific languages
- Alignment/Re-ordering tools for specific language pairs
- Use of morphology analyzers and/or morpheme segmenters in MT
- Multilingual/cross-lingual NLP tools for MT
- Corpora creation and curation technologies for low-resource languages
- Review of available parallel corpora for low-resource languages
- Research and review papers on MT methods for low-resource languages
- MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages
- Pivot MT for low-resource languages
- Zero-shot MT for low-resource languages
- Fast building of MT systems for low-resource languages
- Re-usability of existing MT systems for low-resource languages
- Machine translation for language preservation
SUBMISSION INFORMATION
We are soliciting two types of submissions: (1) research, review, and
position papers and (2) system demonstration papers. For research, review
and position papers, the length of each paper should be at least four (4)
and not exceed eight (8) pages, plus unlimited pages for references. For
system demonstration papers, the limit is four (4) pages. Submissions
should be formatted according to the official ACL 2024 style templates.
Accepted papers will be published online in the ACL 2024 proceedings and
will be presented at the conference.
Submissions must be anonymized and should be done using the provided
submission system. Scientific papers that have been or will be submitted to
other venues must be declared as such and must be withdrawn from the other
venues if accepted and published at LoResMT. The review will be
double-blind. Authors of an accepted paper should present their paper in
person at ACL 2024. Papers should be submitted in PDF to the LoResMT Open
Review.
We would like to encourage authors to cite papers written in ANY language
that are related to the topics, as long as both original bibliographic
items and their corresponding English translations are provided.
Registration is handled by the main conference (https://2024.aclweb.org/).
ORGANIZING COMMITTEE (LISTED ALPHABETICALLY)
Atul Kr. Ojha, University of Galway & Panlingua Language Processing LLP
Chao-Hong Liu, Potamu Research Ltd
Ekaterina Vylomova, University of Melbourne, Australia
Jade Abbott, Retro Rabbit
Jonathan Washington, Swarthmore College
Nathaniel Oco, National University (Philippines)
Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø
Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University
Varvara Logacheva, Skolkovo Institute of Science and Technology
Xiaobing Zhao, Minzu University of China
PROGRAM COMMITTEE (LISTED ALPHABETICALLY)
Abigail Walsh, ADAPT Centre, Dublin City University, Ireland
Alberto Poncelas, Rakuten, Singapore
Alina Karakanta, Leiden University
Amirhossein Tebbifakhr, Fondazione Bruno Kessler
Anna Currey, Amazon Web Services
Aswarth Abhilash Dara, Amazon
Arturo Oncevay, University of Edinburgh
Atul Kr. Ojha, DSI, University of Galway & Panlingua Language Processing LLP
Barry Haddow, University of Edinburgh
Bogdan Babych, Heidelberg University
Chao-Hong Liu, Potamu Research Ltd
Constantine Lignos, Brandeis University, USA
Daan van Esch, Google
Diptesh Kanojia, University of Surrey, UK
Duygu Ataman, University of Zurich
Ekaterina Vylomova, University of Melbourne, Australia
Eleni Metheniti, CLLE-CNRS and IRIT-CNRS
Flammie Pirinen, UiT The Arctic University of Norway, Tromsø
Koel Dutta Chowdhury, Saarland University (Germany)
Jade Abbott, Retro Rabbit
Jasper Kyle Catapang, University of the Philippines
Jindřich Libovicky, Charles University
John P. McCrae, DSI, University of Galway
Liangyou Li, Noah’s Ark Lab, Huawei Technologies
Majid Latifi, University of York, York, UK
Maria Art Antonette Clariño, University of the Philippines Los Baños
Mathias Müller, University of Zurich
Nathaniel Oco, De La Salle University (Philippines)
Rajdeep Sarkar, Yahoo
Rico Sennrich, University of Zurich
Saliha Muradoglu, The Australian National University
Sangjee Dondrub, Qinghai Normal University
Santanu Pal, WIPRO AI
Sardana Ivanova, University of Helsinki
Shantipriya Parida, Silo AI
Sunit Bhattacharya, Charles University
Surafel Melaku Lakew, Amazon AI
Wen Lai, Center for Information and Language Processing, LMU Munich
Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University
CONTACT
Please email loresmt(a)googlegroups.com if you have any
questions/comments/suggestions.
Dear all,
We are very pleased to announce that the first issue of volume 12 (2024) of Research in Corpus Linguistics (RiCL) has just come out.
The issue can be found at: https://ricl.aelinco.es/index.php/ricl/issue/view/25
Please find below the table of contents.
With best wishes,
Paula Rodríguez-Puente & Carlos Prado-Alonso
Editors of RiCL
ARTICLES:
•A corpus-assisted approach to discursive news values analysis.
Arash Javadinejad 1–29
•The contribution of aspectual auxiliary verbs to the factual value of verb periphrases in Spanish: An empirical study.
Ana Fernández-Montraveta, Glòria Vázquez, Hortènsia Curell 30–58
•Recent trends in corpus design and reporting: A methodological synthesis.
Brett Hashimoto, Kyra Nelson 59–88
•Adjective comparison in African varieties of English.
Cristina Suárez-Gómez, Cristhian Tomàs-Vidal 89–113
•Constructions and representations of Chinese identity through England’s curatorial imagination: A corpus-assisted analysis.
JJ Chan, Mathew Gillings 114–139
•A semantic analysis of bilingual compound verbs in two contact Spanish communities.
Osmer Balam, Lidia Pérez Leutza, Ian Michalski, María del Carmen Parafita Couto 140–170
BOOK REVIEWS:
•Review of Peters, Pam and Kate Burridge eds. 2023. Exploring the Ecology of World Englishes in the Twenty-first Century: Language, Society and Culture. Edinburgh: Edinburgh University Press. ISBN: 978-1-474-46286-0. DOI: https://doi.org/10.3366/edinburgh/9781474462853.001.0001.
Philip Shaw 171–179
•Review of Leńko-Szymańska, Agnieszka and Sandra Götz eds. 2022. Complexity, Accuracy and Fluency in Learner Corpus Research. Amsterdam: John Benjamins. ISBN: 978-9-027-21258-0. DOI: https://doi.org/10.1075/scl.104.
Paweł Szudarski 180–188
•Review of Mattiello, Elisa. 2022. Transitional Morphology: Combining Forms in Modern English. Cambridge: Cambridge University Press. ISBN: 978-1-009-16828-1. DOI: https://doi. org/10.1017/9781009168274.
Cristina Lara-Clares, Salvador Valera 189–195
•Review of Taavitsainen, Irma, Turo Hiltunen, Jeremy J. Smith and Carla Suhr eds. 2022. Genre in English Medical Writing, 1500–1820: Sociocultural Contexts of Production and Use. Cambridge: Cambridge University Press. ISBN: 978-1-009-10534-7. DOI: https:// doi.org/10.1017/9781009105347.
Irene Diego Rodríguez 196–204
•Review of Sánchez Fajardo, José A. 2022. Pejorative Suffixes and Combining Forms in English. Amsterdam: John Benjamins. ISBN: 978-9-027-25822-9. DOI: https://doi.org/10.1075/slcs.222.
Anke Lensch 205–211
•Review of Zihan Yin and Elaine Vine eds. 2022. Multifunctionality in English: Corpora, Language and Academic Literacy Pedagogy. London: Routledge. ISBN 978-0-367-72509-9. DOI: https://doi. org/10.4324/9781003155072.
Pascual Pérez-Paredes 212–219
Dear colleagues,
Apologies for cross-posting.
We want to invite you to submit the unpublished results of your research on
Knowledge Graphs and Large Language Models to:
*The 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM)*,
to be held on *August 15, 2024*, co-located with *ACL 2024*, Bangkok,
Thailand.
Call for Participation
*Submission Deadline: May 20, 2024 at 23:59, UTC -12h, AoE*
*Website*: https://kallmworkshop.github.io/kallm2024/
*Contact email*: kallmworkshop2024(a)googlegroups.com
The workshop intends to provide a platform for researchers, practitioners,
and industry professionals to explore the synergies between LLMs and KGs.
We aim to provide a space for the LLM community and the community of KG
researchers to interact and explore how these two communities could
collaborate and support one another.
*Important Dates*
Submission Deadline: *May 20, 2024*
Author Notifications: June 17, 2024
Camera-Ready Deadline: July 1, 2024
Workshop Date: August 15, 2024
*Submission Guidelines:*
Papers must be submitted in PDF format using the official ACL template.
More details are available on the website.
*Scope of the workshop:*
KaLLM invites quality research contributions as short or long papers and
resource papers. All submissions will undergo a double-blind review
process, and accepted submissions will be presented at the workshop.
The submissions should focus on the interaction between LLMs and KGs in the
context of NLP. The workshop will cover a diverse range of topics related
to the integration of LLMs and KGs, including but not limited to:
- Knowledge-enhanced language generation
- KG-based question answering using LLMs
- Fact validation and bias mitigation
- KG creation and completion using LLMs
- Privacy considerations in LLM-KG integration
- Interpretability and explainability
- Cross-domain applications
- KG-based text summarisation with LLMs
- Ethical implications of LLM-KG technologies
- Multimodality of KGs and LLMs
- Multilingual LLMs for KGs and vice-versa
We look forward to receiving your submissions and having your valuable
contribution to the success of the workshop. If you have any questions or
require further information, please do not hesitate to contact us at
kallmworkshop2024(a)googlegroups.com or visit
https://kallmworkshop.github.io/kallm2024/.
Thank you and best regards,
Workshop Organisers
Russa Biswas, Hasso Plattner Institute, Germany
Lucie Aimée Kaffee, Hugging Face
Oshin Agarwal, Bloomberg, USA
Pasquale Minervini, University of Edinburgh, UK
Sameer Singh, University of California, Irvine, USA
Gerard de Melo, Hasso Plattner Institute, University of Potsdam, Germany
The 3rd Workshop on Perspectivist approaches to NLP (NLPerspectives)
Co-located with LREC-COLING, Turin, Italy or online. May 21st 2024 (full day)
Keynote presentation:
Barbara Plank (LMU Munich)
“From Human Label Variation and Model Uncertainty to Error Detection (and Back)”
Panel discussion:
Barbara Plank (LMU Munich)
Alicia Parish (Google)
Massimo Poesio (QMU London)
Plus lightning talks and poster presentations of 22 perspectivist NLP papers.
Registration: https://lrec-coling-2024.org/https://nlperspectives.di.unito.it/w/3rd-workshop-on-perspectivist-approach…
________________________________
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The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.
We invite the community to participate in a text labelling Shared Task
regarding the segmentation of statements in German Easy Language
(STaGE), co-located at KONVENS 2024 [1] in Vienna, Austria.
For more information, visit:
https://german-easy-to-read.github.io/statements
Motivation:
Assessing the complexity of sentences is still an object of ongoing
research. One aspect of sentence complexity is the number of statements.
Knowing the different statements conveyed in a sentence is important for
numerous NLP tasks, such as extracting the different statements to
further simplify the original sentence by separating it into
statement-reduced sentences. Another use case is in-depth fact-checking
of the isolated statements or the readability evaluation of the text in
accordance with Easy Languages guidelines.
However, for German, there exists no implementation to extract
statements automatically. Our shared task aims to analyze and annotate
the number of statements in German Easy language (DE: "Leichte Sprache")
texts. We have decided on German Easy Language, since this language
variety recommends the usage of sentences with a reduced number of
statements. Therefore, it profits from the results and automated
analysis implemented in our task.
Important dates:
* 09.03.2024: Trial data ready
* 14.04.2024: Train data ready
* 18.05.2024: Test data ready
* 06.2024: Evaluation
* 07.2024: Paper submission due
* 13.09.2024: Workshop date
Feel free to contact us via statements(a)soc.cit.tum.de
We are looking forward to your participation!
Best regards,
Miriam Anschütz, Thorben Schomacker & Regina Stodden
Links:
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[1] https://konvens-2024.univie.ac.at/
***Apologies for possible cross-posting ***
The two major conferences in the Baltic and Nordic regions, NoDaLiDa, organized by The Northern European Association for Language Technology (NEALT) and Baltic HLT are joining forces to organize NoDaLiDa/Baltic-HLT 2025 – The Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies, to be held in Tallinn, Estonia, on March 2–5, 2025.
https://www.nodalida-bhlt2025.eu/conference
SUBMISSIONS
NoDaLiDa/Baltic-HLT 2025 addresses all aspects of natural language processing, speech recognition and synthesis, and computational linguistics, including work in closely related neighboring disciplines (such as, for example, machine learning, linguistics, digital humanities, or psychology) that is sufficiently formalized or applied to bear relevance to speech and language technologies.
We invite paper submissions of three types:
* regular papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate;
* short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces; and
* demonstration papers on software or resource demonstrations, e.g. of systems, interfaces, infrastructures, data collections, or annotations.
We particularly encourage submission of papers on completed or ongoing work, where the first author is a Master's or PhD student. This should be indicated at submission time.
Papers accepted for presentation at the conference will be included in the NoDaLiDa/Baltic-HLT 2025 proceedings, which are published in the ACL Anthology and the NEALT Proceedings Series at DSpace at Tartu University Library (negotiations for indexation are ongoing and expected to be in place at publication time)
SCHEDULE
* Monday, October 21, 2024: Submission of Papers
* Monday, December 9, 2024: Notification of Acceptance
* Monday, January 13, 2025: Camera-Ready Manuscripts
* Monday and Tuesday, March 3–4, 2025: Main Conference
The main conference will be held on-site only, without an online option, in order to facilitate networking.
SUBMISSION FORMATS
All submissions must follow the NoDaLiDa 2025 style files, which will be available for LaTeX (preferred) and MS Word.
Submissions must be anonymous, i.e. not reveal author(s) on the title page or through self-references. Papers must be submitted digitally, in PDF, and uploaded through the online conference system. Paper submissions that violate either of these requirements will be returned without review.
The page limits for submissions are: up to eight pages for regular papers and up to four pages for short papers and demo papers. For all three submission types, these page limits do not include additional pages with bibliographic references. We do not allow any extra pages for appendices.
DOUBLE SUBMISSION and PRE-PUBLICATION
Papers that have been or will be submitted to other venues must indicate this at submission time and must be withdrawn from the other venues if accepted to NoDALiDa/Baltic-HLT 2025. Authors of papers accepted for presentation at NoDALiDa/Baltic_HLT must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere.
SUBMISSION MANAGEMENT
Submissions to the conference must be uploaded electronically, obeying the above requirements, and no later than (end of day, anywhere on earth): Monday, October 21, 2024.
NoDaLiDa/Baltic-HLT 2025 uses the OpenReview conference management system for the submission, reviewing, and preparation of proceedings.
PROGRAM COMMITTEE
General Chair
* Sara Stymne, Uppsala University, Sweden
Program Chairs
* Mark Fišel, University of Tartu, Estonia
* Daniel Hershcovich, University of Copenhagen, Denmark
* Jenna Kanerva, University of Turku, Finland
* Pierre Lison, Norwegian Computing Centre, Norway
* Inguna Skadiņa, University of Latvia, Lativa
* Andrius Utka, Vytautas Magnus University, Lithuania
Workshop chairs * Normunds Grūzītis, University of Latvia, Latvia
* Samia Touileb, University of Bergen, Norway
Publication chair
* Richard Johansson, Chalmers Technical University, Sweden
Social media chair
* Mike Zhang, Aalborg University, Denmark
To inquire about the submission and reviewing process or the scientific program of the conference, please email ‘nodalida_baltichlt_2025-pc(a)googlegroups.xn--com-to0a.
Local Chairs
* Helen Kaljumäe, Institute of the Estonian Language, Estonia
* Kadri Vare, Institute of the Estonian Language, Estonia
* Merily Remma, Institute of the Estonian Language, Estonia
For all practical inquiries, please email ‘nodalida_baltichlt_2025-loc(a)eki.xn--ee-o2t.
Follow us on X: https://twitter.com/NoDaLiDa
Web page: https://www.nodalida-bhlt2025.eu/conference
När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/
E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy
BCS SEARCH INDUSTRY AWARDS 2024
We are delighted to announce this year's Search Industry Awards, celebrating the best search innovations of 2024. Presented by the Information Retrieval Specialist Group of the BCS, these awards recognize people, projects, and organisations around the world that have excelled in the design of search and information retrieval products and services.
If you know of any people, projects, or products that deserve recognition, let us know by submitting a nomination. Alternatively, if you're involved with something special yourself, you can submit an application today.
CATEGORIES
This year we are offering four awards:
1. Best search project recognises the most impactful implementation of search technology or methodology in solving a specific problem or need. Previous winners include:
* Wikiframe Visual Graph, a search capability for Special Collections data stored on Wikidata (wikidata.org)
* CiteSeerX, one of the largest open source academic search engines with over 10 million documents
* LexisNexis for their work on Open question answering on Lexis+
2. Search professional of the year is made to an individual who has made a significant contribution through their work and professionalism. Previous winners include:
* Amey Porobo Dharwadker, Machine Learning Tech Lead Manager at Meta
* Adam Tocock, Library Assistant at NHS
* Stuart Mackie, Lead Data Scientist at BiP Solutions
3. Most promising start up (or new enterprise) recognises the innovative and disruptive potential of a business model, technology, or solution. Previous winners include:
* batteryincluded.ai, First BI Product Discovery Framework incl. 3 pillars for highest relevancy within global product listings
* Giotto AI, an all-in-one platform to automatize, digitalize, and standardize the data collection, analysis and writing of a Clinical Evaluation Report
* Resolute.AI, an AI driven platform to search major FDA databases in the public domain in a federated way
4. Best paper / presentation (at Search Solutions). Previous winners include:
* Charlie Hull, OSC: “Pragmatic AI-powered Search – Keeping it Simple, not Stupid”.
* Filip Radlinski, Google: “Challenges with Really Understanding Natural Language in Conversational Recommendation”
* Olivia Foulds, University of Strathclyde: “Crossing the 49th Parallel in Data and Information Science”
The last award is open only to presenters at Search Solutions, and will be judged on the day of the event. For all others, apply today!
JUDGING PANEL
Winners will be selected by our panel of judges (details to be announced shortly).
AWARDS CEREMONY
The awards ceremony will take place during Search Solutions 2024.
APPLY
We’ve designed the application process to be simple to complete:
https://forms.gle/W54kx6t5jPVp8dkQ7
If you are unsure which category to apply for, or have questions about the application process, contact us via the address below. For further details, see: https://www.bcs.org/membership-and-registrations/member-communities/informa…
Nominations will remain open until 31st October.
CONTACT
If you have any questions on the above, please contact the IRSG Events Organiser at tgr2uk+irsg(a)gmail.com
ABOUT IRSG
The IRSG is a Specialist Group of BCS. Its mission is to provide a focus for the European IR community, facilitate communication between researchers and practitioners and promote the adoption of IR research within industry. We host a major European conference (ECIR) and provide an associated programme of workshops, seminars and events. The IRSG is free to join via the BCS website, which provides access to further IR articles, events and resources.
BCS is the industry body for IT professionals. With members in over 100 countries around the world, BCS is the leading professional and learned society in the field of computers and information systems.
Job Opening for Data Scientist with a focus on natural language processing
Application link: https://bit.ly/3QAkC1M
Application deadline: 31 May 2024
The South African Centre for Digital Language Resources (SADiLaR) is looking for a data scientist with a focus on natural language processing (permanent position). As a Data Scientist at the South African Centre for Digital Language Resources (SADiLaR) you will have the opportunity to initiate and lead projects focusing on Human Language Technology and Digital Humanities stemming from your own research interests. You will work closely together with a team of researchers as part of SADiLaR's extended network, both on your own and commissioned projects. Dissemination of project results at national and international conferences will be encouraged and supported. This position is crucial for research and development in Human Language Technology and Digital Humanities, fields that form the essence of SADiLaR, which is a national Research Infrastructure supported by the Department of Science and Innovation. Read more about SADiLaR at https://www.sadilar.org.
Key responsibilities:
- Research: Research in the area of Human Language Technology and Digital Humanities.
- Project work: Initiating and contributing to Human Language Technology and Digital Humanities projects.
- Teaching: Teaching in the area of Human Language Technology and Digital Humanities.
- Mentorship: Mentorship of researchers in the field of Human Language Technology and Digital Humanities.
Minimum requirements:
- A PhD (NQF level 10) in one of the following fields: Computational Linguistics, Natural Language Processing, Human Language Technology, Digital Humanities, Data Science, Computer Science, Information Technology, Artificial Intelligence, or related fields. The PhD should have a focus on computational aspects of linguistics.
- A minimum of (five) 5 years' experience in the use of Python (other programming languages used within the computational linguistics or Digital Humanities domain can also be considered).
- Evidence of peer-reviewed academic publications.
- A minimum of (three) 3 years' experience as a supervisor/co-supervisor of students or playing a mentorship/supervising role for individuals.
- A minimum of (three) 3 years' experience with using and/or developing computational tools.
- A minimum of (three) 3 years experience related to research within the domain of Language Technology or Digital Humanities.
- A minimum of (one) 1 year experience related to teaching or training within the domain of Language Technology or Digital Humanities.
More information can be found at the application link.
For informal inquiries please contact: Menno van Zaanen <menno.vanzaanen(a)nwu.ac.za>
Menno will be attending LREC-COLING, so please feel free to connect with him for a discussion.
Application link: https://bit.ly/3QAkC1M
--
Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za<mailto:menno.vanzaanen@nwu.ac.za>
Professor in Digital Humanities
South African Centre for Digital Language Resources https://www.sadilar.org<https://www.sadilar.org/>
________________________________
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http://www.nwu.ac.za/it/gov-man/disclaimer.html
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________________________________
We are pleased to announce the Third and Final Call for Papers, Presentations, Tutorials, Workshops and Best Thesis Award Submissions for AMTA 2024.
https://amtaweb.org/amta-2024-call-for-proposals/
AMTA 2024 will be a three-day hybrid event under the auspices of the Association for Machine Translation in the Americas to be held on Monday, 30 September 2024 through Wednesday, 2 October 2024 at the Renaissance Schaumburg Convention Center in Chicago, Illinois, USA.
Like all AMTA events, AMTA 2024 will bring together researchers, practitioners, and providers of MT and related cross-lingual technology from academia, industry, and government. It will include keynote talks, panel discussions, individual presentations, and demonstrations from technology providers.
The organizing committee of AMTA 2024 is seeking proposals for papers and presentations on all topics related to research, development, application, and evaluation of Machine Translation and cross-lingual technologies. Our goal is to have a broad and engaging program that appeals to the various constituents of the MT community (researchers, developers, users, and language professionals).
Accepted papers and presentations will be presented as 20-minute talks (15-minute presentations, plus 5 minutes for questions).
Please visit https://amtaweb.org/amta-2024-call-for-proposals/ for a sample list of topics of interest, additional conference details, and complete submission guidelines.
Workshops and tutorials
Traditionally, workshops and tutorials associated with the AMTA conference were held on a pre- and post-conference day. AMTA 2024, however, will feature a day of workshops and tutorials held completely virtually ahead of the main conference. For information about submitting a proposal for a workshop or tutorial, please visit https://amtaweb.org/amta-2024-cfp-workshops-tutorials/.
Best Thesis Award
The AMTA Board of Directors is also pleased to sponsor the first edition of the AMTA Best Thesis Award, which aims to highlight the achievements of a recent PhD graduate whose thesis has focused on a topic or topics related to machine translation. This award includes a $1000 USD prize, free conference registration and AMTA membership, among other benefits. For more information about eligibility and submission details, please visit https://amtaweb.org/amta-2024-cfp-best-thesis-award/.
Important dates
Submission deadline: 6 June 2024, 23:59 Anywhere on Earth (UTC-12)
Notification of acceptance for papers, presentations and tutorials: 19 July 2024
Notification of Best Thesis Award: 31 July 2024
Final “camera-ready” papers for proceedings and materials for tutorials: 16 August 2024
Please direct any questions you may have to organizing.committee(a)amtaweb.org.
We look forward to receiving your submission!
AMTA Board of Directors
Venue: ACL 2024
Location: Bangkok, Thailand
Date: August 15, 2024
Papers Due: May 14, 2024 (23:59 AOE)
Website: https://sites.google.com/view/textgraphs2024
OpenReview Site: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17#…>
Workshop Description
For the past seventeen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph-theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling. They became progressively larger to include ontology learning and information extraction from large text collections. Nowadays, graph-based solutions also target Web-scale applications such as information propagation in social networks, rumor proliferation, e-reputation, multiple entity detection, language dynamics learning, and future events prediction, to name a few.
We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be enhanced with existing and new graph-based methods. We widen the workshop topics beyond the familiar graph domain, encompassing a broader range of less examined structured data domains as well. The seventeenth edition of the TextGraphs workshop aims to extend the focus on exploring rising topics of large language models (LLMs) prompting from the unique perspective of GT. Therefore, our workshop aims to foster stronger, mutually advantageous connections between NLP and structured data, tackling key challenges inherent in each field.
TextGraphs-17 invites submissions on (but not limited to) the following topics:
* Knowledge Graphs Meet LLMs. A proper utilization of graph-based methods for reasoning over a Knowledge Graph (KG) is a prospective way to overcome critical limitations of the existing LLMs which lack interpretability and factual knowledge and are prone to the hallucination problem. Vice versa, the incorporation of LLM knowledge learnt from large textual collections may help many graph-related tasks, such as KG completion and graph representation learning. Thus, we are highly interested in novel research on the joint use of KG and LLM for an improved processing of either the NLP or graph domain (preferably both).
* Chain Prompting of LLMs. Recent studies show that prompting strategies like Chain-of-Thought and Graph-of-Thought enhance language understanding and generation tasks compared to the traditional few-shot methods. We welcome submissions developing advanced prompting schemes and software for LLMs and other pre-trained machine learning models.
* Learning from Structured Data. We greet novel efforts to build a bridge between NLP and various structured data formats including relational and non-relational databases, as well as standardized data formats (such as XML, JSON, RDF, etc.)
* Interpretability of NLP Systems. The question of interpretability poses a fundamental challenge for the practical application of NLP methods. We invite researchers to adopt structured data and employ graph-based methods to shed light on decision-making and logic behind modern LLMs. Any work on applying a KG or any other structured knowledge to explore and evaluate factual awareness, treating the interpretability problem from the GT perspective, or any other topic that utilizes graphs and other structured data to make LLMs more understandable, is met with appreciation.
Important dates
- Papers due: May 14, 2024
- Notification of acceptance: June 15, 2024
- Camera-ready papers due: July 1, 2024
- Conference date: August 15, 2024
Submission
We invite submissions of up to eight (8) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers.
The ACL 2024 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format.
This year, TextGraph submission is managed through OpenReview. Submit papers by the end of the deadline day (timezone is UTC-12; AoE) via the submission link on our site: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TextGraphs-17#…>
Shared Task
We invite participation in the task of Knowledge Graph Question Answering (KGQA). We will ask the participants to analyze candidate answers with text and graph features. For each query-answer candidate, a graph characterizing paths in Wikidata from entity from the query to the answer entity will be given.
Contact
Please direct all questions and inquiries to our official e-mail address (textgraphsOC(a)gmail.com<mailto:textgraphsOC@gmail.com>) or contact any of the organizers via their individual emails. Also you can join us on Facebook: https://www.facebook.com/groups/900711756665369.
Organizers
- Dmitry Ustalov, JetBrains
- Arti Ramesh, Binghamton University
- Alexander Panchenko, Skolkovo Institute of Science and Technology
- Yanjun Gao, University of Wisconsin-Madison
- Andrey Sakhovskiy, Skolkovo Institute of Science and Technology
- Elena Tutubalina, Artificial Intelligence Research Institute
- Gerald Penn, University of Toronto
- Marco Valentino, Idiap Research Institute