Location: Cardiff, UK
Deadline for applications: 1st September
Start date: 1st November
Duration: 30 months
Keywords: natural language processing, neurosymbolic AI, graph neural networks, commonsense reasoning
Details about the post
Applications are invited for a Postdoctoral Research Associate in the Cardiff University School of Computer Science & Informatics, to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The overall aim of this project is to develop methods for learning graph-structured representations of stories. For this post, the specific focus will be on developing common sense reasoning strategies, based on graph neural networks, to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”. More details about the post and instructions on how to apply are available at www.jobs.ac.uk/job/DJA796/research-associate<https://www.jobs.ac.uk/job/DJA796/research-associate>.
CALL FOR PARTICIPATION
http://www.alta.asn.au/events/sharedtask2024
The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students.
Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology.
This year's shared task is: Automatic AI-Generated Sentences Detection for Human-AI Hybrid Articles.
The tentative key dates are:
Right Now - Registration and release of training and development data
30 Sep 2024 - Release of test data
06 Oct 2024 - Deadline of submission of runs
09 Oct 2024 - Notification of results
04 Nov 2024 - Deadline of submission of system description
2-4 Dec 2024 - Presentation of results at ALTA 2024
Details of the task and registration are available at the competition website (https://www.alta.asn.au/events/sharedtask2024)
Good luck!
Diego Molla
Dear Colleagues,
We are delighted to announce the first CfP for The First Workshop of Evaluation of Multi-Modal Generation @ COLING 2025. It is now open and closes on 20th November 2024 (11:59PM AoE UTC-12).
Website link: https://evalmg.github.io/
------------------------------------------------------------
The First Workshop of Evaluation of Multi-Modal Generation
Multimodal generation techniques have opened new avenues for creative content generation. However, evaluating the quality of multimodal generation remains underexplored and some key questions are unanswered, such as the contributions of each modal, the utility of pre-trained large language models for multimodal generation, and measuring faithfulness and fairness in multimodal outputs. This workshop aims to foster discussions and research efforts by bringing together researchers and practitioners in natural language processing, computer vision, and multimodal AI. Our goal is to establish evaluation methods for multimodal research and advance research efforts in this direction.
Call for Papers
Both long paper and short papers (up to 8 pages and 4 pages respectively with unlimited references and appendices) are welcomed for submission.
A list of topics relevant to this workshop (but not limited to):
* Evaluation metrics for multimodal text generation for assessing informativeness, factuality and faithfulness
* New benchmark datasets, evaluation protocols and annotations
* Challenges in evaluating multimodal coherence, relevance and contribution of modalities and inter- and intra-interactions
* Assessing information integration and aggregation across multiple modalities
* Adversarial evaluation approaches for testing the robustness and reliability of multimodal generation systems
* Ethical considerations in the evaluation of multimodal text generation, including bias detection and mitigation strategies
* Multilingual multimodal text generation systems for low-resource languages
* Evaluating fairness and privacy in multimodal learning and applications
Important Dates
* Nov 20, 2024: Paper submission due date
* Dec 05, 2024: Notification of acceptance
* Dec 11, 2024: Camera-ready version due
* Jan 19, 2025: Workshop Date
Note: All deadlines are 11:59PM UTC-12:00 (“Anywhere on Earth”)
Submission Instructions
You are invited to submit your papers in our START/SoftConf submission portal. All the submitted papers have to be anonymous for double-blind review. The content of the paper should not be longer than 8 pages for long papers and 4 pages for short papers, strictly following the COLING 2025 templates, with the mandatory limitation section not counting towards the page limit. Supplementary and appendices (either as separate files or appended after the main submission) are allowed. We encourage code link submissions for reproducibility.
Non-archival Option
To promote discussions within the community, our workshop includes non-archival track. Authors have the flexbility to submit their unpublished work or papers accepted to COLING main conference to our workshop. The organisers may offer the opportunity to give oral or poster presentation.
Organisers
* Wei Emma Zhang, The University of Adelaide
* Xiang Dai, CSIRO
* Desmond Elliot, University of Copenhagen
* Byron Fang, CSIRO
* Haojie Zhuang, The University of Adelaide
* Mong Yuan Sim, The University of Adelaide & CSIRO
* Weitong Chen, The University of Adelaide
Kind regards,
COLING25 EvalMG Organisers
We are pleased to announce an extension of the submission deadline for DAAfrica’2024. The new deadline is August 18, 2024.
=============================================================
Call for short papers
DAAfrica - Workshop on Data Science for Agriculture in Africa
November 23, 2024
Bejaia, Algeria (hybrid)
Event affiliated with CARI’2024
Workshop supported by ASDS, #DigitAg and the MOOD project
=============================================================
=== SCOPE ===
Data science in agriculture has evolved with the accessibility of data by farmers that allow them to analyze and facilitate decision making. Today new technology like Internet of Things (IoT) enables us to collect and store farm and environmental data (e.g. soil data, water data, etc.) in dedicated databases and/or data warehouses. This agricultural data can be combined with other data sources (e.g. remote sensing, weather stations, web and social media, etc.) that need to address new challenges like ingestion of heterogeneous data.
Data science in agriculture aims to explore and mine agricultural data using different techniques like machine learning, deep learning, computer vision, text-mining, large language models (LLM), etc. For instance, data science can predict crop yields and plant and animal diseases with different variables, including rainfall, temperature fluctuations, and soil conditions by using a variety of data (e.g. sensor data, texts, satellite images, plant images, etc.).
So, agriculture professionals and decision-makers can use data science to provide information and knowledge in order to make decisions about agricultural activities in Africa.
=== TOPICS OF INTEREST ===
The topics of the workshop encompass all aspects concerning the intersection of data science and agriculture in Africa with different applications:
- Smart Farming
- Yield and production
- Plant specie identification
- Land cover monitoring
- Crop recommendation
- Crop monitoring & forecasting
- Animal and plant health monitoring
- Water management
- Food safety & security
- Agroecology
- etc.
=== SUBMISSIONS ===
Researchers, academics, and students working on the field of data science with application in agriculture in Africa are invited to submit short papers for oral presentations or posters. Submitted abstracts must be in English and will be reviewed by the workshop committees for suitability and interest to the DAAfrica audience. The authors can submit papers of unpublished work reporting original and early results, introducing new ideas or describing prototypes.
Every accepted submission must have at least one author registered for the workshop. All submitted extended abstracts must follow the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) with a page limit of up to 6 pages including the title page, figures, references, and an optional appendix. The abstracts should be submitted electronically in PDF format via EasyChair via the following link: https://easychair.org/conferences/?conf=daafrica2024
Accepted extended abstract will be published as CEUR proceedings. Selected contributions will be invited to submit full papers to ARIMA Journal (indexed by DBLP and DOAJ) for a peer-review according to its usual reviewing process.
=== IMPORTANT DATES ===
- Submission deadline: August 18, 2024 [extended deadline]
- Notification to authors: September 23, 2024
- Workshop date: November 23, 2024
=== PARTICIPATION ===
The workshop will be held in Bejaia, Algeria, as an event affiliated to CARI’2024 (https://www.cari-info.org). This workshop will be a hybrid event that combines a "live" in-person event with a "virtual" online component.
Further information related to registration is available on the ASDS website: https://asds.africa/daafrica2024
=== WORKSHOP CHAIRS ===
- Paulin Melatagia, University of Yaoundé I, Cameroun
- Mathieu Roche, CIRAD, UMR TETIS, France
(Apologies for cross-posting)
The 4th NeurIPS ENLSP 2024 workshop on "Efficient Natural Language & Speech
Processing: Highlighting New Architectures for Future Foundation Models" is
now open for submissions! If your research aims to enhance the efficiency
of large language and foundation models in architecture, training, and
inference for real-world applications, we invite you to submit your work to
this workshop and please feel free to share it with your network.
Link to the website for more details: https://neurips2024-enlsp.github.io
*Call For Paper*
The scope of this workshop includes, but not limited to, the following
topics:
Efficient Architectures and Models 🧠
Efficient Training (pre-training & fine-tuning) ⚡
Efficient Inference 📈
Evaluation and Benchmarking of Efficient Models 📊
Efficient Solutions in Other Modalities and Applications 🌐
Efficiency of foundational or pre-trained models in multi-modal set-up and
other modalities (beyond NLP and Speech) such as biology, chemistry,
computer vision, and time series
Efficient representations (e.g. Matryoshka representation) and models in
dense retrieval and search
Efficient Federated learning, lower communication costs, tackling
heterogeneous data and models
... and much more!
*Submission Remarks*
You are invited to submit your papers in our CMT submission portal (
https://cmt3.research.microsoft.com/ENLSP2024 ).
All the submitted papers have to be anonymous for double-blind review. We
expect each paper will be reviewed by at least three reviewers.
The content of the paper (excluding the references and supplementary
materials) should not be more than *8 pages for Long Papers* and *4 pages
for Short Papers*, strictly following the NeurIPS template style.
According to the guideline of the NeurIPS workshops, already published
papers are not encouraged for submission, but you are allowed to submit
your ArXiv papers or the ones which are under submission (for example *any
NeurIPS submissions can be submitted concurrently to workshops* ).
To encourage higher quality submissions, our sponsors are offering the *Best
Paper* and the *Best Poster* Awards to qualified outstanding original oral
and poster presentations (upon nomination of the reviewers).
Bear in mind that our workshop is not archival, but the accepted papers
will be hosted on the workshop website. *Moreover, **accepted papers may
opt-in to publish their papers in a special issue proceeding for the
workshop in PMLR. *
*Important Dates:*
Submission Deadline: *August 30, 2024 Anywhere on Earth (AOE)*
Acceptance Notification: October 14, 2024 AOE
Camera-Ready Submission: October 28, 2024 AOE
We look forward to receiving your submissions and encourage you to share
this call for papers with your network (or you may reshare this LINK
<https://x.com/mrgzadeh/status/1814400987299238188> on X ).
Thanks!
Best Regards,
NeurIPS ENLSP 2024 Organizers
Dear Colleagues,
We are looking for a new member to help us diversify our organizing team for the 9th edition of the Workshop on Online Abuse and Harms<https://www.workshopononlineabuse.com/> (WOAH).
If you are interested, please fill out the application form by August 31st: https://t.co/UoqdNV8ZBh.
All the best,
Agostina
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th' ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336.
Dear Colleagues,
We're delighted to announce that the CfP for the 22nd Annual Workshop of the Australasian Language Technology Association - ALTA 2024 - is now open and closes on 20th September (23:59hrs Anywhere on Earth UTC -12)
Details are available on our website at https://alta2024.alta.asn.au/calls/papers and a summary follows.
---
Important Dates
* Submission deadline for short/long papers, presentation abstracts and industry demonstrations:
20 September 2024 (23:59 Anywhere On Earth UTC-12).
* Main conference: 3 December and 4 December 2024, ANU, Canberra, ACT, hybrid (in person and online)
Overview
The 22nd Annual Workshop of the Australasian Language Technology Association (ALTA) will be held in a hybrid format at the Australian National University, Canberra, from 2 December to 4 December 2024.
The ALTA 2024 workshop is the key local forum for socialising research results in Natural Language Processing (NLP) and Computational Linguistics (CL). It will feature presentations, posters, and demonstrations from students, industry, and academic researchers. Like previous years, we also encourage submissions and participation from industry and government researchers and developers. Note that ALTA is listed in the CORE 2023 Conference Rankings as Australasian C<https://www.core.edu.au/conference-portal>.
Topics
ALTA invites the submission of papers and presentations on all aspects of NLP and CL, including, but not limited to:
* Commonsense Reasoning.
* Computational Social Science and Cultural Analytics.
* Dialogue and Interactive Systems.
* Discourse and Pragmatics.
* Efficient Methods for NLP.
* Ethics in NLP.
* Information Extraction.
* Information Retrieval and Text Mining.
* Interpretability, Interactivity and Analysis of Models for NLP.
* Language Grounding to Vision, Robotics and Beyond.
* Language Modeling and Analysis of Language Models.
* Linguistic Theories, Cognitive Modeling and Psycholinguistics.
* Machine Learning for NLP.
* Machine Translation.
* Multilinguality and Linguistic Diversity.
* Natural Language Generation.
* NLP Applications.
* Phonology, Morphology and Word Segmentation.
* Question Answering.
* Resources and Evaluation.
* Semantics: Lexical, Sentence level, Document Level, Textual Inference, etc.
* Sentiment Analysis, Stylistic Analysis, and Argument Mining.
* Speech and Multimodality.
* Summarisation.
* Syntax, Parsing and their Applications.
We particularly encourage submissions that broaden the scope of our community by considering practical applications of language technology and multidisciplinary research. We also specifically encourage submissions from the industry.
Format and instructions for authors
Please refer to our CfP webpage for specifics.<https://alta2024.alta.asn.au/calls/papers>
We are using OpenReview for submissions, and invite submissions of three different formats: (1) Original Research Papers, (2) Abstract-based Presentations, and (3) Industry Demonstrations.
---
You can follow ALTA on social media at the following links:
*
LinkedIn (page): https://www.linkedin.com/company/australasian-language-technology-associati…
*
LinkedIn (group):https://www.linkedin.com/groups/1849979/
*
Twitter: https://twitter.com/altanlp
*
Mastodon: https://sigmoid.social/@ALTAnlp
*
Hashtag is #ALTA2024
With kind regards, on behalf of the ALTA 2024 Team:
Dr Gabriela Ferraro, General Chair
Professor Tim Baldwin, Program Chair
Dr Sergio José Rodríguez Méndez, Program Chair
Dr Nicholas Kuo, Program Chair
Dr Anton Malko, Publication Chair
Dr Dawei Chen, Technology Chair
A/Prof Shunichi Ishihara, Finance Chair
Charbel El-Khaissi, PhD candidate, Sponsorship Chair
Ned Cooper, PhD candidate, Local Chair
Kathy Reid, PhD candidate, Publicity Chair
****We apologize for multiple postings of this e-mail****
CALL FOR PARTICIPATION
FIRE 2024 Task - CoLI-Dravidian: Word-level Code-Mixed Language
Identification in Dravidian Languages
Held as a shared task in the 16th meeting of Forum for Information
Retrieval Evaluation (FIRE 2024 <http://fire.irsi.org.in/fire/2024/home>)
December 12-15, 2024. DAIICT, Gandhinagar, India
Website:
https://sites.google.com/view/coli-dravidian-2024/datasets?authuser=0
Codalab link: https://codalab.lisn.upsaclay.fr/competitions/19357
Dear All,
We are inviting researchers and students to participate in the shared task
CoLI-Dravidian: Word-level Code-Mixed Language Identification in Dravidian
Languages, which is held as a shared task in the 16th meeting of Forum for
Information Retrieval Evaluation (FIRE 2024
<http://fire.irsi.org.in/fire/2024/home>).
Language Identification (LI) involves detecting the language(s) used in a
given text, which is a preliminary step for many applications such as
sentiment analysis, machine translation, information retrieval, and natural
language understanding. In multilingual India, especially among the youth,
social media often features code-mixed text, blending local languages with
English at various levels. However, this poses significant challenges for
LI, particularly when languages are mixed within a single word. Dravidian
languages, extensively spoken in southern India, are under-resourced
despite their rich morphological structure. These languages face
technological challenges, especially in script representation on digital
platforms, leading users to prefer Roman or hybrid scripts for
communication. This prevalent code-mixing offers vast linguistic data for
research yet remains understudied.
To address word-level LI challenges in code-mixed Dravidian languages, we
are conducting a shared task by providing code-mixed datasets for four
languages - Kannada, Tamil, Malayalam, and Tulu, to encourage the
development of advanced LI models.
There will be a real-time leaderboard, and the participants will be allowed
to make a maximum of 10 submissions in the training phase and 5 submissions
in the testing phase through CodaLab. Each team will have to select the
best submission for ranking.
To download the data and participate, go to:
https://codalab.lisn.upsaclay.fr/competitions/19357.
Best regards,
The CoLI-Dravidian 2024 Organizing Committee
Important dates
-
14th June 2024 - open track websites and training data release
-
1st July 2024– test data release
-
25th July – run submission deadline (7th August – run submission
deadline extended)
-
8th August – results declared
-
29th August – Working notes due
-
10th September - Reviews
-
30th October – Camera-ready copies of working notes
NOTE: All dates mentioned here are in the AoE (Anywhere on Earth) zone.
Organizing Committee
-
Shashirekha Hosahalli Lakshmaiah, Department of Computer Science,
Mangalore University, India.
-
Ameeta Agrawal, Department of Computer Science, Portland State
University, USA.
-
Fazlourrahman Balouchzahi, CIC, IPN, Mexico.
-
Asha Hegde, Department of Computer Science, Mangalore University, India.
-
Sabur Butt, IFE, Tecnologico de Monterrey, Mexico.
-
Sharal Coelho, Department of Computer Science, Mangalore University,
India.
-
Kavya G, Department of Computer Science, Mangalore University, India.
-
Harshitha, Department of Computer Science, Mangalore University, India.
-
Sonith D, Department of Computer Science, Mangalore University, India.
*Sabur Butt, Ph.D. *(He/Him)
Institute for the Future of Education (IFE)
*Tecnológico de Monterrey, Mexico*
Address: Av. Eugenio Garza Sada 2501 Sur Tecnológico, 64849 Monterrey, N.L.
LinkedIn <https://www.linkedin.com/in/saburb> - GitHub
<https://github.com/saburbutt> - Scholar
<https://scholar.google.com/citations?user=re7md-0AAAAJ&hl=en> - Website
<https://saburbutt.github.io/>