We are inviting your submissions to the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2023) which will be held at EACL 2023 (May 2 or 6, 2023 Dubrovnik, Croatia). The submission deadline is February 13.
For more information, see details below or refer to: https://sigtyp.github.io/workshop.html. This year’s edition will include a shared task on “Cognate and Derivative Detection for Low-Resourced Languages", more details about the shared task can be found here: https://github.com/sigtyp/ST2023.
We are looking forward to your contributions.
Best regards,
Lisa Beinborn (on behalf of the SIGTYP organization committee)
Workshop description
The aim of the 5th edition of SIGTYP workshop is to act as a platform and a forum for the exchange of information between typology-related research, multilingual NLP, and other research areas that can lead to the development of truly multilingual NLP methods. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach of multilingual NLP, as well as at introducing computational approaches to linguistic typology. It will foster research and discussion on open problems, not only within the active community working on cross- and multilingual NLP but also by inviting input from leading researchers in linguistic typology. In 2023, we would like to continue following this direction of research with a special focus on bringing technology to foster documentation of under-described languages.
SIGTYP is the first dedicated venue for typology-related research and its integration into multilingual NLP. Appropriate topics include (but are not limited to) the following as they relate to the areas of the workshop: :
* Integration of typological features in language transfer and joint multilingual learning. In addition to established techniques such as “selective sharing”, are there alternative ways to encode heterogeneous external knowledge in machine learning algorithms?
* Development of unified taxonomy and resources. Building universal databases and models to facilitate understanding and processing of diverse languages.
* Automatic inference of typological features. The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones.
* Typology and interpretability. The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts.
* Improvement and completion of typological databases. Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals.
* Linguistic diversity and universals. Challenges of cross-lingual annotation. Which linguistic phenomena or categories should be considered universal? How should they be annotated?
* Bringing technology to document under-described languages. Improving model performance and documentation of under-resourced languages using typological databases, multilingual models, and data from high-resource languages.
* Cognate and Derivative Detection for Low-Resourced Languages.
Important Dates (all deadlines are 23:59 AoE)
— February 13, 2023: Paper submission deadline
— March 13, 2023: Notification of acceptance
— March 27, 2023: Camera-ready deadline
— May 2 or 6, 2023: Workshop
Submissions
We invite both extended abstract submissions (non-archival) and general paper submissions (archival). The accepted submissions will be presented at the workshop, providing new insights and ideas. Extended abstracts should describe already published work or work in progress and should not exceed two (2) pages. This way, we will not discourage researchers from preferring main conference proceedings, at the same time ensuring that interesting and thought-provoking research is presented at the workshop. For general (archival) submissions we accept both long and short papers. Short papers should not exceed four (4) pages, long papers should not exceed eight (8) pages papers. Unlimited additional pages are allowed for the references section in all submission types.
Submissions should be anonymous, without authors or an acknowledgment section; self-citations should appear in the third person.
Submissions must follow the EACL 2023 stylesheet https://2023.eacl.org/calls/styles/; both long and short paper submissions must follow the two-column format of ACL proceedings. All submissions must be in PDF format.
Contributions should be submitted via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2023/Workshop/SIGTYP
Shared Task
This year’s edition will include a shared task on “Cognate and Derivative Detection for Low-Resourced Languages", more details can be found here: https://github.com/sigtyp/ST2023.
Organizing Committee
Koustava Goswami, Alexey Sorokin, Ritesh Kumar, Andrey Shcherbakov, Edoardo M. Ponti, Saliha Muradoğlu, Lisa Beinborn, Ryan Cotterell, Kat Vylomova
Anti-harassment policy
The workshop follows the ACL anti-harassment policy: https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy
Contact
For any inquiries regarding the workshop, please send an email to the Organizing Committee at sigtyp(a)gmail.com
------------------------------------------------------------------------
Lisa Beinborn
Assistant Professor for Natural Language Processing
Vrije Universiteit Amsterdam
https://beinborn.eu/
------------------------------------------------------------------------
The Sixth Workshop on Technologies for Machine Translation of
Low-Resource Languages (LoResMT 2023)
https://www.loresmt.org/
@ EACL 2023 (May 2–6, 2023)
Valamar Lacroma Dubrovnik Hotel, Iva Dulčića 34, 20000, Dubrovnik, Croatia
TIMELINE
Paper due: February 13, 2023 (Monday) at 23:59 (Anywhere on Earth)
Notification of acceptance: March 13, 2023 (Monday)
Camera-ready papers due: March 27, 2023 (Monday)
Conference dates: May 2-6, 2023
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, we introduce the Sixth Workshop. 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 of 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.
- COVID-related corpora, their translations and corresponding NLP/MT systems
- Neural machine translation for low-resource languages
- 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 of 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 EACL 2023 style templates
(LaTeX, Word, Overleaf). Accepted papers will be published online in the
EACL 2023 proceedings and will be presented at the conference.
Submissions must be anonymized and should be done using the official
conference management system (which will be available in the following
weeks). 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.
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.
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)
Alberto Poncelas, Rakuten, Singapore
Alina Karakanta, Fondazione Bruno Kessler
Amirhossein Tebbifakhr, Fondazione Bruno Kessler
Anna Currey, Amazon Web Services
Aswarth Abhilash Dara, Amazon
Arturo Oncevay, University of Edinburgh
Bharathi Raja Chakravarthi, University of Galway
Beatrice Savold, University of Trento
Bogdan Babych, Heidelberg University
Constantine Lignos, Brandeis University, USA
Daan van Esch, Google
Diptesh Kanojia, University of Surrey, UK
Duygu Ataman, University of Zurich
Eleni Metheniti, CLLE-CNRS and IRIT-CNRS
Francis Tyers, Indiana University
Kalika Bali, MSRI Bangalore, India
Koel Dutta Chowdhury, Saarland University (Germany)
Jade Abbott, Retro Rabbit
Jasper Kyle Catapang, University of the Philippines
John P. McCrae, DSI, Univerity of Galway
Kevin Patrick Scannell, Saint Louis University
Liangyou Li, Noah’s Ark Lab, Huawei Technologies
Maria Art Antonette Clariño, University of the Philippines Los Baños
Majid Latifi, University of York, York, UK
Mathias Müller, University of Zurich
Monojit Choudhury, Microsoft Turing
Rico Sennrich, University of Zurich
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
CONTACT
Please email loresmt(a)googlegroups.com if you have any
questions/comments/suggestions.
Thanks,
Atul
Welcome to the SemEval 2023 Shared Task on Visual Word Sense Disambiguation (Visual-WSD)!
Task description: Given a target word, some limited textual context and a set of candidate images, the task is to select the image which corresponds to the intended meaning of the target word.
Test data now available! Test data is now available for English, Italian and Farsi. The evaluation period has started and the deadline for submissions is January 31st.
Task website: https://raganato.github.io/vwsd/
Codalab competition: https://codalab.lisn.upsaclay.fr/competitions/8190
Important dates:
* Sample data ready: 1 August 2022
* Training data ready: 18 October 2022
* Evaluation period starts (test set released): 13 January 2023
* Evaluation period ends: 31 January 2023
* Workshop paper submission deadline: February 2023 (tentative)
* SemEval workshop: 13-14 July 2023 (co-located with ACL 2023 in Toronto, Canada)
We encourage many different types of submissions in our shared task. In terms of data, participants are allowed to use (if they wish) the training/trial data set we provide, pretrained vision and language models, as well as other sources of training data (participants will be asked to explain in detail their data sources). In terms of methodology, we would like to encourage novel and exciting research ideas.
We encourage contributions from the following areas (not limited to):
* computer vision,
* natural language processing,
* vision and language,
* (multi-modal) representation learning,
* cognitive sciences,
* machine learning,
* neuro-symbolic learning/reasoning.
Best submissions will be ranked not only in terms of leaderboard performance, but also based on the idea, methodology and analysis. In other words, creative and original research is encouraged!
Task organizers:
* Alessandro Raganato (Department of Informatics, Systems, and Communication, University of Milano-Bicocca, Italy)
* Iacer Calixto (Amsterdam UMC, University of Amsterdam, Netherlands)
* Jose Camacho-Collados (School of Computer Science and Informatics, Cardiff University, United Kingdom)
* Asahi Ushio (School of Computer Science and Informatics, Cardiff University, United Kingdom)
* Mohammad Taher Pilehvar (Tehran Institute for Advanced Studies, Iran)
--
Jose Camacho Collados
http://www.josecamachocollados.com<http://www.josecamachocollados.com/>
_Submission Deadline: 24-Feb-2023_
The *30th International Conference on Head-Driven Phrase Structure
Grammar* will be held in a hybrid format on 07 July - 08 July 2023 at
the University of Massachusetts Amherst, the venue of the LSA Linguistic
Institute 2023.
Abstracts are invited that address linguistic, foundational, or
computational issues relating to or in the spirit of the framework of
Head-Driven Phrase Structure Grammar.
**Conference Format**
The HPSG 2023 conference will be a two-day main conference (07 July - 08
July), which will be followed by a one-day (09 July) workshop on
ellipsis (Experimental and Corpus-based Approaches to Ellipsis), which
will be announced separately.
**Invited speakers**
Emily Bender
Jean-Pierre König
**Submissions**
We invite anonymous submissions to the main HPSG Conference:
Papers should be 4 pages long, + 1 page for data, figures & references.
They should be submitted in PDF format.
The submissions should not include the authors’ names, and authors are
asked to avoid self-references.
Please specify whether you intend to present your paper in person,
online, or haven’t decided yet.
All abstracts should be submitted in via Easychair:
https://easychair.org/conferences/?conf=hpsg2023
All abstracts will be reviewed anonymously by at least two reviewers.
Accepted papers are expected to give a 30-minute presentation.
Additionally, 10 minutes are reserved for discussion.
A call for contributions to the proceedings will be issued after the
Conference. Proceedings of previous conferences are available at:
https://proceedings.hpsg.xyz/issue/archive.
**Important Dates**
Abstract submission deadline: 24 February 2023 (anywhere on earth)
Notifications of acceptance: 17 April 2023
Conference proceedings submission: 15 October 2023
**Venue**
The HPSG 2023 Conference will take place at the University of
Massachusetts Amherst, the venue of the LSA Linguistic Institute.
**Local Organizing Committee Chairs**
Gabriela Bîlbîie (University of Bucharest)
Fabiola Henri (University at Buffalo)
**Program Committee Chair**
Elodie Winckel (Friedrich Alexander University Erlangen-Nuremberg)
**Contact information**
For general questions, please contact the Program Committee Chair Elodie
Winckel (hpsg2023(a)easychair.org).
For questions about the logistics of the conference, please contact the
local organizers (Gabriela Bîlbîie and Fabiola Henri) at hpsg2023(a)gmail.com.
Dear colleagues,
[please pass along this email to any interested parties]
We are pleased to invite you to the final online workshops
<https://www.lingsoft.fi/en/microservices-your-service-workshops> of our
European project "Microservices at Your Service: Bridging the Gap Between
NLP Research and Industry”
<https://www.lingsoft.fi/en/microservices-at-your-service-bridging-gap-betwe…>,
co-financed by Connecting Europe Facility.
<https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2020-eu…>
Our project addresses the objective of the "Collaborative Language Tools
Projects" call, which makes the natural language processing (NLP) tools
accessible for a wider audience through the ELG
<https://www.european-language-grid.eu/> (European Language Grid)
repository. Specifically, we have made available speech and language
technology tools created for Icelandic, Faroese, Norwegian, Finnish,
Estonian, Latvian, Lithuanian, Northern Sami, Swedish, Spanish, Portuguese,
Galician, Basque, Catalan and Valencian languages.
As the main result of the project, we would like to share knowledge about
these tools with you, researchers and software/service developers, so that
you can benefit from them in your research and service development. In
parallel, we can enhance the visibility of the research institutions that
developed them.
With this objective in mind, we would like to invite you to participate in
free online workshops:
-
Microservices general workshop will give a general overview of the
project, present the European Language Grid platform and some selected
tools.
-
on January 20 at 10:00 am CET (11:00 AM EET)
-
Registration at https://forms.gle/6HzBLhU8NAcguTA67
-
Four local workshops – which will introduce our project and the European
Language Grid Platform, show demos and demonstrate use cases for these
tools, concentrating on tools for that area.
-
Estonia, January 27, 10 EET (In Estonian)
-
Finland, January 24, 13 EET
-
Iberia, January 25, 10 CET
-
Iceland, February 1, 9 GMT
-
The registration links for the local workshops can be found on our
workshop website
https://www.lingsoft.fi/en/microservices-your-service-workshops
A link to the workshops will be sent to the registered participants by
email before the selected date. If you are unable to attend, the video
recording of the workshop will be available after the workshop.
The project has already hosted two workshops geared towards researchers and
providers of NLP tools. The first one, the Docker and API workshop, was a
hands-on workshop on how researchers can easily share their tools by means
of Docker and an API. The second one, ELG, a Bridge for NLP Development,
introduced the ELG platform in more detail including guidelines on how
developers can get their tools there. You can find recordings of these
workshops at our workshop website.
Thank you very much for your time, we look forward to hearing from you.
Sincerely,
Tiina Lindh-Knuutila, project manager
--
Lingsoft®
Tiina Lindh-Knuutila (D.Sc. Tech) | Solution Architect
+358 50 344 9153 | tiina.lindh-knuutila(a)lingsoft.fi
Lingsoft Language Services Oy
| www.lingsoft.fi
Kauppiaskatu 5, FI-20100 Turku | Eteläranta 10, FI-00130 Helsinki | Mäster
Samuelsgatan 36, SE-11157, Stockholm
Lingsoft Language Management - Translation - Localisation - Subtitling -
Transcription - Speech Solutions - Reader's and Writer's Tools - Language
Analysis - E-books
Dear Colleagues,
Due to many requests and expressed interest, the submission deadline has been extended.
The new deadline for abstract submission is now 14 February 2023.
*** Apologies for cross-posting ***
Call for papers: Explainable AI in Natural Language Processing
Traditional Natural Language Processing (NLP) models (e.g., decision trees, Markov models, etc.) have primarily been based on techniques that are inherently interpretable models, referred to as white-box techniques. However, in recent years, NLP models have employed advanced neural approaches along with language embedding features. Using these advanced approaches, mostly referred to as black-box techniques, the NLP models have yielded state-of-art performance. Nonetheless, the level of interpretability (e.g., how the model arrives at its results) has reduced significantly. This obfuscated interpretability not only lowers the end users’ trust in the NLP models but also makes it challenging for the developers to debug or improve by analyzing the models for further improvement. Therefore, nowadays, researchers in the NLP community are giving significant attention to the emerging field called Explainable AI (XAI) to tackle the obfuscated complexity of AI systems for trust and improvement. Apart from academia, organizations and companies also have launched high-funding projects such as DARPA XAI, People +AI Research (PAIR), etc.
As XAI is still a growing field, there is plenty of room for innovation to improve the explainability of NLP systems. In recent works, explainable NLP models have captured linguistic knowledge of neural networks, explain predictions, stress-test models via challenge sets or adversarial examples, and interpret language embeddings.
The goal of this Research Topic is to better understand the present status of the XAI in NLP by identifying: new dimensions for a better explanation, evaluation techniques used to measure the quality of explanations, approaches or developments of new software toolkits to explain XAI in NLP, and transparent deep learning models for different NLP task.
The scope of this Research Topic covers (but is not restricted to) the following topics:
• Survey of XAI in NLP in general or any particular NLP task such as NER, QA, Sentiment analysis, social media (SocialNLP), etc.
• Explainable Neural models in Machine Translation
• Explainable Neural models in Named Entity Recognition
• Explainable Neural models in Question Answering
• Explainable Neural models in Sentiment Analysis
• Explainable Neural models in Opinion Mining
• Explainable Neural models in SocialNLP
• Evaluation techniques used to measure the quality of explanations
• Tools for explaining explainability
• Resources related to XAI in the context of NLP
The Research Topic welcomes contributions toward interpretable models for efficient solutions to NLP research problems that explain the explainability of the proposed model using suitable explainability technique(s) (e.g., example-driven, provenance, feature importance, induction, surrogate models, etc.), visualization technique(s) (e.g., raw examples, saliency, raw declarative, etc.), and other aspects. Software toolkits or approaches that can help users express explainability to their models and ML pipelines are also welcome.
The full Call for Papers is available at https://www.frontiersin.org/research-topics/48440/explainable-ai-in-natural…
Impact of the publication: https://www.frontiersin.org/about/impact
The current deadlines are:
* Abstract Deadline:14 February 2023
* Manuscript Deadline: 14 April 2023, This is a mandatory deadline for your full manuscript submission. However, we can accommodate personal extensions on a case-by-case basis.
Guest Editors:
Somnath Banerjee (University of Tartu, somnath.banerjee(a)ut.ee)
David Tomás (University of Alicante, dtomas(a)dlsi.ua.es)
Somnath Banerjee
Lecturer,
Institute of Computer Science,
University of Tartu,
Narva mnt 18, room 3063
51009 Tartu, ESTONIA
webpage: http://www.ut.ee//~somnath/
[APOLOGIES FOR MULTIPLE POSTINGS]
SEBD 2023 Doctoral Consortium - Call for Papers
=================================================
Important dates
Doctoral Consortium Submission Deadline: Friday, March 31, 2023 (AoE)
Papers Notification: Wednesday, April 26, 2023 (AoE)
Camera-Ready Submission Deadline: Thursday, June 01, 2023 (AoE)
Doctoral Consortium Day: Sunday, July 02, 2023
Submission Link: https://cmt3.research.microsoft.com/SEBD2023/
=================================================
The SEBD 2023 Doctoral Consortium will take place in a dedicated session
during the 31st Italian Symposium on Advanced Database Systems (SEBD
2023), Galzignano
Terme, Padova (Italy), July 02-05, 2023, http://sebd2023.dei.unipd.it/.
The goal is to provide a forum for PhD candidates to present their ongoing
research and receive feedback from renowned and experienced members of the
research community. The Consortium fosters a collaborative environment,
encouraging constructive discussions and sharing of ideas. It will be an
excellent opportunity for developing person-to-person networks to the
benefit of the PhD students in their future careers – as well as of the
community.
Submissions from students who are in the early stages of their research
should provide a clear description of the problem to be addressed and the
planned methodology. Submissions from students who are in the middle or
final stages of their PhD research should clearly indicate the
contributions made to date and future work directions.
Each doctoral symposium paper must be single-authored by a current PhD
student or a PhD student who submitted the thesis between September and
December 2022. The paper should be written in English and must be 6-7 pages
long, including selected references. Submissions must be formatted in PDF,
prepared in CEUR-ART Column 1 Style (http://ceur-ws.org/Vol-XXX/CEURART.zip),
and submitted electronically via the submission system:
https://cmt3.research.microsoft.com/SEBD2023/
Submissions will be reviewed by the Doctoral Consortium Program Committee
(appointed by the Doctoral Consortium Chairs). All papers will be reviewed
with respect to the overall presentation quality, the potential for the
future impact of the research on the field, and the expected benefit to the
other doctoral students attending the conference. The accepted papers will
be published as part of the SEBD 2023 proceedings on WS-CEUR.org and
indexed in Scopus, DBLP and Google Scholar.
=================================================
Topics
The SEBD Symposium and its Doctoral Consortium cover a broad range of
topics, including traditional database management, as well as new
challenges for data management in any possible domain. Suggested topics
include (but are not limited to) the following ones:
-
Big Data and Smart Computing;
-
Data integration, Heterogeneous and Federated DBMS;
-
Data mining, knowledge discovery, information extraction, and machine
learning;
-
Data visualization;
-
Data warehousing;
-
Distributed and parallel databases;
-
Grid, peer-to-peer databases, and Cloud Computing;
-
Incompleteness, inconsistency, and other aspects of data quality;
-
Uncertainty in databases;
-
Ethical problems posed by Big Data Analysis;
-
Keyword-based and natural language access to structured, semistructured,
and unstructured data;
-
Knowledge representation and reasoning;
-
Ontology-based data management;
-
Privacy, security and trust management;
-
Query processing and optimization, approximate query answering;
-
Real-time, embedded, sensor, and mobile databases;
-
Scientific and Statistical Databases;
-
Semantic Web and Open Linked data;
-
Social networks and Graph databases;
-
Transaction and workflow management, interoperability and Web services.
=================================================
Contact
For any questions regarding Doctoral Consortium submissions, please email
the Doctoral Consortium Chairs:
-
Letizia Tanca (letizia.tanca(a)polimi.it)
-
Stefano Marchesin (stefano.marchesin(a)unipd.it)
--
Stefano Marchesin, PhD
Postdoctoral Researcher
Information Management Systems (IMS) Group
Department of Information Engineering
University of Padua
Via Gradenigo 6/a, 35131 Padua, Italy
Home page: http://www.dei.unipd.it/~marches1/
[Apologies for multiple postings]
2nd ACM International Workshop on Multimedia AI against Disinformation MAD'23
ACM International Conference on Multimedia Retrieval ICMR'23
Thessaloniki, Greece, June 12-15, 2023
https://mad2023.idmt.fraunhofer.de/https://easychair.org/my/conference?conf=icmr20230
*** Call for papers ***
* Paper submission due: February 28, 2023
* Acceptance notification: March 31, 2023
* Camera-ready papers due: April 20, 2023
* Workshop @ACM ICMR 2023: June 12, 2023 (TBD)
Modern communication does not rely anymore solely on classic media
like newspapers or television, but rather takes place over social
networks, in real-time, and with live interactions among users. The
speedup in the amount of information available, however, also led to
an increased amount and quality of misleading content, disinformation
and propaganda Conversely, the fight against disinformation, in which
news agencies and NGOs (among others) take part on a daily basis to
avoid the risk of citizens' opinions being distorted, became even more
crucial and demanding, especially for what concerns sensitive topics
such as politics, health and religion.
Disinformation campaigns are leveraging, among others, market-ready
AI-based tools for content creation and modification: hyper-realistic
visual, speech, textual and video content have emerged under the
collective name of “deepfakes”, undermining the perceived credibility
of media content. It is, therefore, even more crucial to counter these
advances by devising new analysis tools able to detect the presence of
synthetic and manipulated content, accessible to journalists and
fact-checkers, robust and trustworthy, and possibly based on AI to
reach greater performance.
Future multimedia disinformation detection research relies on the
combination of different modalities and on the adoption of the latest
advances of deep learning approaches and architectures. These raise
new challenges and questions that need to be addressed in order to
reduce the effects of disinformation campaigns. The workshop, in its
second edition, welcomes contributions related to different aspects
of AI-powered disinformation detection, analysis and mitigation.
Topics of interest include but are not limited to:
- Disinformation detection in multimedia content (e.g., video, audio,
texts, images)
- Multimodal verification methods
- Synthetic and manipulated media detection
- Multimedia forensics
- Disinformation spread and effects in social media
- Analysis of disinformation campaigns in societally-sensitive domains
- Robustness of media verification against adversarial attacks and
real-world complexities
- Fairness and non-discrimination of disinformation detection in
multimedia content
- Explaining disinformation /disinformation detection technologies for
non-expert users
- Temporal and cultural aspects of disinformation
- Dataset sharing and governance in AI for disinformation
- Datasets for disinformation detection and multimedia verification
- Open resources, e.g., datasets, software tools
- Multimedia verification systems and applications
- System fusion, ensembling and late fusion techniques
- Benchmarking and evaluation frameworks
*** Submission guidelines ***
When preparing your submission, please adhere strictly to the ACM ICMR
2023 instructions, to ensure the appropriateness of the reviewing
process and inclusion in the ACM Digital Library proceedings. The
instructions are available here
https://icmr2023.org/paper-submissions/.
*** Organizing committee ***
Luca Cuccovillo, Fraunhofer IDMT, Germany
Bogdan Ionescu, Politehnica University of Bucharest, Romania
Giorgos Kordopatis-Zilos, Centre for Research and Technology Hellas,
Thessaloniki, Greece
Symeon Papadopoulos, Centre for Research and Technology Hellas,
Thessaloniki, Greece
Adrian Popescu, CEA LIST, Saclay, France
The workshop is supported under the H2020 project AI4Media “A European
Excellence Centre for Media, Society and Democracy”
https://www.ai4media.eu/, and the Horizon Europe project vera.ai
“VERification Assisted by Artificial Intelligence”
https://www.veraai.eu/.
On behalf of the organizers,
Bogdan Ionescu
https://www.aimultimedialab.ro/
**Second Workshop on Modelling Translation: Translatology in the Digital
Age**
(MoTra-2023)
First Call for Papers
Submissions deadline: March 20, 2023
Workshop Day: May 22, 2023
Location: Tórshavn, Faroe Islands (hybrid format)
Website: https://sfb1102.uni-saarland.de/?s=motra
**Topic and Goals of the Workshop**
MoTra-2023 aims to promote interdisciplinary and computational
approaches to human translation, offering an opportunity for researchers
in empirical translation studies, computational and corpus linguistics,
NLP, cognitive science to exchange knowledge and methodological
expertise in modelling various aspects of translation. Along with
traditional research questions related to translationese, variation in
translation, translation quality assessment, we encourage submissions on
interpreting studies, multimodal translation, modelling translational
strategies from cognitive, semantic and pragmatic perspectives as well
as contributions presenting language resources for translation studies
and translation-related software. We are particularly interested in
forging a link between translation studies and machine translation and
invite research at the interface of these fields.
This event seeks to follow up on the investigations reported by the
previous edition of the workshop. The proceedings of MoTra-2021 covered
a wide range of topics in translatology enhancing the understanding of
*translationese*, i.e linguistic specificity of translations setting
them apart from non-translations in the target language and exploring
*variation in human translation*, including in contrast with machine
translation (https://aclanthology.org/volumes/2021.motra-1/
<https://aclanthology.org/volumes/2021.motra-1/>).
The contributions described computational and NLP methods to model
translation varieties (student/professional, human/machine,
written/spoken) and translation processes/solutions, especially around
particular items (translation problem triggers, discourse markers,
adjectives, polarity items), and reported the results of manual
linguistic analysis of modelling outcomes.
**The workshop invites submissions on relevant research topics,
including but not limited to:**
- Translation and translationese detection, source language
identification and quantitative analysis of translations
- NLP approaches to translationese
- Analysis and interpretation of variation in translation according to
context (domain, register, genre), mode and medium (spoken, written,
audio-visual), translator (professional, novice, crowd-sourced),
recipient (simplified language) etc.
- Intrinsic and extrinsic evaluation of translation models
- Research at the interface between translation studies and machine
translation
- Contextualized and multimodal translation analysis
- Computational semantics and pragmatics applied to translation studies
- Sentiment and emotion analysis of translations
- Human translation quality assessment and annotation
- Computational models of translation types such as communicative
translation, semantic translation, transcreation, intralingual
translation, etc.
- New corpora for translation studies, such as literary translation
corpora, interpreting transcript datasets, learner translator corpora, etc.
- Translation, post-editing, (error) annotation software
- Cognitive modelling of translation processes, including cognitive load
measurements and communication optimisation in translation
**Invited Speakers**
Maarit Koponen (University of Eastern Finland)
**Program Committee**
Silvia Bernardini (University of Bologna)
Mario Bisiada (Universitat Pompeu Fabra)
Yuri Bizzoni (Aarhus University)
Lynne Bowker (University of Ottawa)
Michael Carl (Kent State University)
Oliver Czulo (Leipzig University)
Cristina España i Bonet (Saarland University)
Alex Fraser (LMU Munich)
Alina Karakanta (University of Trento)
Stella Neumann (RWTH Aachen University)
Antoni Oliver (Open University of Catanlunya)
Maja Popovic (ADAPT Centre, DCU)
Moritz Schaeffer (University of Mainz)
Tatiana Serbina (RWTH Aachen University)
Serge Sharoff (University of Leeds)
Antonio Toral (University of Gröningen)
**Organizers’ Contacts**
Maria Kunilovskaya (maria.kunilovskaya(a)uni-saarland.de)
Ekaterina Lapshinova-Koltunski (lapshinovakoltun(a)uni-hildesheim.de)
Elke Teich (e.teich(a)mx.uni-saarland.de)
**Important Dates**
- Monday, March 20, 2023: Workshop paper submission deadline
- Monday, April 17, 2023: Notification of acceptance
- Monday, May 1, 2023: Camera-ready workshop papers due
- Monday, May 22, 2023: The workshop day
**Paper Submission**
We invite submissions of three kinds:
- long papers on substantial, original, and unpublished research,
including empirical evaluation of results, up to 8 pages without references;
- short papers on smaller, focused contributions, negative results,
surveys, or opinion pieces, up to 4 pages without references; and
- demonstration papers on software, systems, interfaces,
infrastructures, language resources, data collections, or annotations,
up to 4 pages without references.
Papers accepted for presentation at the conference will appear in the
NoDaLiDa 2023 proceedings, published as part of the NEALT Proceedings
Series and in the ACL Anthology.
Accepted papers will appear on the workshop website
(https://sfb1102.uni-saarland.de/?s=motra/), too.
All submissions should be anonymous and should follow the official
Nodalida 2023 LaTeX template (see
https://www.nodalida2023.fo/call-for-papers/). The ACL author guidelines
and anonymity rules apply.
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 2023. At least one author of each accepted paper
must register to attend the workshop.
The submissions are planned through OpenReview. The link to the
submission page will appear in the Second Call for Papers.
To inquire about the submission and reviewing process or generally the
workshop’s scientific program, please email: Maria Kunilovskaya
maria.kunilovskaya(a)uni-saarland.de
The workshop will be held in a hybrid format in conjunction with the
NoDaLiDa Conference (https://www.nodalida2023.fo/) in Tórshavn, Faroe
Islands.
Natural Language Processing (John Benjamins' book series)
CALL FOR BOOK PROPOSALS
John Benjamins' Natural Language Processing Book Series invites new book proposals to respond to the growing demand for Natural Language processing (NLP) literature. Three general types of books are considered for publication:
_Monographs_ - featuring (i) original leading cutting-edge research (the monograph could be based on an outstanding PhD thesis), or (ii) surveys of the state-of-the art of specific NLP tasks or applications.
_Collections_ - (i) books focusing on a particular NLP area (e.g. emerging from successful NLP workshops or as a result of editors' calls for papers) or (ii) books which include papers covering a wide range of topics (e.g. emerging from competitive NLP conferences or as a result of proposals for books of the type "Readings in NLP").
_Course books_ - (i) general NLP course books or (ii) course books on a particular key area of NLP (e.g. Speech Processing, Computational Syntax/Parsing).
Authors will be encouraged to append supplementary materials such as demonstration programs, NLP software, corpora etc. and to indicate websites, computational language resources etc. where appropriate.
This call invites proposals from potential authors of the types of books described above. Proposals on any topic related to Natural Language Processing are welcome.
Topics
The scope of the series is comprehensive ranging from fundamental Computational Linguistics topics (Computational Syntax, Computational Semantics etc.) through NLP methods (statistical methods, Machine Learning, Deep Learning) to NLP applications (machine translation, information extraction, information retrieval, question answering etc.). The series covers both written language and speech; it welcomes works covering (but not limited to) areas such as: phonology, morphology, syntax, semantics, discourse, pragmatics, dialogue, text understanding and generation, machine translation, machine-aided translation, translation aids and tools, corpus-based language processing; written and spoken natural language interfaces, knowledge acquisition, information extraction, text summarisation, text classification, computer-aided language learning, language resources.
Particularly welcome are books describing the development and use of latest Deep Learning techniques. Editor/Advisory board
The new series' editor is Ruslan Mitkov (University of Wolverhampton) and the advisory board of the series includes:
- Eduardo Blanco (University of North Texas)
- Gloria Corpas (University of Malaga)
- Robert Dale (Macquarie University)
- Elizaveta Goncharova (National Research University)
- Veronique Hoste (Veronique Hoste)
- Eduard Hovy (Carnegie Mellon University)
- Lori Lamel (The Computer Sciences Laboratory for Mechanics and Engineering Sciences)
- Carlos Martín-Vide (Rovira i Virgili University)
- Johanna Monti (University of Naples "L'Orientale" )
- Roberto Navigli (Sapienza University of Rome)
- Nicolas Nicolov (Head of AI/ML, Avalara Inc.)
- Constantin Orasan (University of Surrey)
- Paolo Rosso (Universitat Politècnica de València)
- Raheem Sarwar (University of Wolverhampton)
- Khalil Sima'an (University of Amsterdam)
- Richard Sproat (Google Research)
- Key-Yih Su (Institute of Information Science, Academia Sinica)
The managing editor at John Benjamins is Kees Vaes (Email kees.vaes(a)benjamins.nl).
SUBMISSION OF PROPOSALS
Interested authors should submit proposals by email (plain text or pdf files) to the series Editor-in-Chief:
Prof Dr Ruslan Mitkov
Email ruslanmitkov(a)yahoo.co.uk
with a copy to the editorial assistants Ms Rocío Caro Quintana (R.Caro(a)wlv.ac.uk), Ms Amal Haddad Haddad (amalhaddad(a)ugr.es) and Ms Dayana Abuin Rios (dayana.abuinr(a)gmail.com).
The proposals should include an outline of the book (1-2 pages), a preliminary table of contents, the target readership, related publications, how the book will differ from other similar books in the area (if applicable), time-scale and information about the prospective author (relevant experience in the field, publications etc.).
Each proposal will be reviewed by members of the advisory board or additional reviewers.
MORE INFORMATION
More information on the new available at Natural Language Processing (https://benjamins.com/catalog/nlp).