Sorry for cross-posting.
We are happy to announce that the call for submission at the "Workshop on
Multimodal Machine Learning in Low-resource Languages" at the 19th
International Conference on Natural Language Processing (ICON-2022) is open.
The workshop aims to bring together members of the* machine learning and
multimodal data fusion fields in regional languages*. We anticipate
contributions that hate speech and emotional analysis in multimodality
include video, audio, text, drawings, and synthetic material in regional
language. This workshop's objective is to advance scientific study in the
broad field of *multimodal interaction, techniques, and systems,
emphasising important trends and difficulties in regional languages*, with
the goal of developing a roadmap for future research and commercial success.
We invite *submissions on topics* that include, but are not limited to, the
following:
- Multimodal Sentiment Analysis in regional languages
- Hate content video detection in regional languages
- Trolling and Offensive post detection in Memes
- Multimodal data fusion and data representation for hate speech
detection in regional language
- Multimodal hate speech benchmark datasets and evaluations in regional
languages
- Multimodal fake news in regional languages
- Data collection and annotation methodologies for safer social media in
low-resourced languages
- Content moderation strategies in regional languages
- Cybersecurity and social media in regional languages
*Important Dates:*
- Paper Submission *Deadline: Oct 30, 2022*
- Paper Acceptance *Notification: Nov 15, 2022*
- *Camera-ready* Submission Deadline: *Dec 01, 2022*
- *Workshop: Dec 15, 2022*
Please follow the workshop link
<https://sites.google.com/view/mmlow-icon2022/home?authuser=0> for more
information.
Thanks & Regards,
Organizers @ Multimodal Machine Learning in Low-resource Languages
Dear all,
We are hiring two Research Associates (post-doc) to work in the area of
natural language processing and machine learning, and more specifically
analysis of online misinformation.
These posts are for approximately 3 years and the expected start is
December 2022 (or shortly after). The deadline for application is 1st of
November 2022.
More information and link to apply:
https://www.jobs.ac.uk/job/CUB141/research-associate-in-machine-learning-an…
Kind regards
--
*Carolina Scarton*
Lecturer in Natural Language Processing
Department of Computer Science
University of Sheffield
http://staffwww.dcs.shef.ac.uk/people/C.Scarton/
Call for Papers - Georgetown University Round Table on Linguistics (GURT 2023)
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Theme: Computational and Corpus Linguistics
Workshops: CxGs+NLP, Depling, TLT, UDW
Location: Washington, DC
Date: March 9-12, 2023
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The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year.
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Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will consist of four workshops focused on computational and corpus approaches to syntax: a new workshop on CxGs+NLP, and three returning SyntaxFest workshops, Depling, TLT, and UDW. Talks will take place in plenary sessions to promote crossfertilization of ideas across subcommunities. �
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Proceedings will be published in the ACL Anthology.
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New Workshop:
* Construction Grammars and NLP (CxGs+NLP)
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Returning SyntaxFest events:
* Depling - International Conference on Dependency Linguistics
* TLT - Treebanks and Linguistic Theories
* UDW - Universal Dependencies Workshop
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There will be a joint program committee to review short and long paper submissions. Authors of each submission will indicate which of the four workshops (possibly multiple) would be appropriate. Individual event CfPs and themes can be found at:
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<https://gurt.georgetown.edu/calls-for-papers/> https://gurt.georgetown.edu/calls-for-papers/ �
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Important Dates
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November 15, 2022 – submission deadline (long and short papers)
January 11, 2023 – notification of acceptance
February 1, 2023 – camera-ready version
March 9–12, 2023 – GURT 2023
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We look forward to your submission and to seeing you in Washington in 2023!
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The GURT organizers
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Dear colleagues,
I would like to bring to your attention the program of the online workshop on Reflection on Intelligent Systems, organized by IRIS (Interchange forum for Reflecting on Intelligent Systems) at the University of Stuttgart.
When/where: the workshop will take place on October 20/21, online, and there is no participation fee (you just have to register, see the link in the program).
What: we have a very diverse program ranging different disciplines (NLP, physics, philosophy, education, literary studies, etc.). For the full program, see: https://www.iris.uni-stuttgart.de/public-engagement/event/Digital-Workshop-… <https://www.iris.uni-stuttgart.de/public-engagement/event/Digital-Workshop-…>
But to give you a gist, here are the titles/abstracts of the keynote talks:
Anne Lauscher (University of Hamburg)
Fairness & Inclusion in Machine Learning for Text: Back to the Future?
The majority of the research efforts in Natural Language Processing are mostly opting for better performance on major benchmarks and downstream tasks. However, it is vital to acknowledge that eventually, these systems will be deployed in a concrete sociotechnical environment, and, thus, their development and their decisions will directly or indirectly affect individuals and more generally, society as a whole.
For instance, NLP systems are prone to encode and amplify unfair stereotypes and often simply fail to adequately represent terms referring to minority groups, which might lead to further discrimination and exclusion of marginalised individuals. In this talk, I will provide an introduction to the training mechanism of modern machine learning-based NLP systems and point to the input data as one potential source of these ethical issues with case studies in conversational AI and machine translation.
Bob Williamson (University of Tübingen)
AI as Mediator
Much of the current discussion of AI views it as an autonomous force. In this talk I will present a complementary view of “AI as mediator”, whereby AI is viewed as an intermediary between humans and the world. This does not solve all the problems of AI. But it does give a different way of thinking about them, and one which is better aligned with the view of AI as IA — Intelligence Augmentation. In pursuing this agenda, I will also talk about technology in general, the importance of context, the distinction between tools and machines, when and where decisions get made, and notions of delegation. The talk is more “mediations on mediation” than a definitive proposal or argument.
Gregor Betz (Karlsruhe Institute of Technology)
Are Large Language Models "Intelligent" Agents?
Large Large Models (LLMs) such as GPT-3 are causing a minor scientific revolution in NLP and AI. In the same time, these technologies have sparked broader controversies about their very nature as intelligent, possible sentient beings. In this keynote, I'll flashlight key controversies surrounding LLMs, re-visit some fundamental debates in philosophy of mind and epistemology, and try to come up with a philosophically informed outlook on LLMs as "intelligent" agents.
Kanta Dihal (University of Cambridge)
A History of Imagining Intelligent Systems
People have been imagining intelligent systems for millennia, in ways that vary greatly across cultures. While themes such as embodiment seem to be widespread, ideas of what constitutes an intelligent system and what its place in society should be are strongly dependent on cultural, national, and other contexts. Yet as artificial intelligence begins to fulfil its potential as a technology, spreading across the globe from its origins in 1950s America, many of these perspectives are marginalised. These stories, films, and visions matter: they are entangled in broader cultural attitudes and approaches to AI, reflecting or inspiring, embedding or disputing them. This lecture will introduce a history of such visions from across the globe, how they influence public perceptions of AI, and what they can tell us now that intelligent systems are becoming a technological reality.
Hope this is of interest for many of you!
Best,
Gabriella
[apologies for cross-posting]
Dear all,
This message is to highlight that a junior professor position in digital
humanities remains open in La Rochelle, with all details here:
https://euraxess.ec.europa.eu/jobs/842223
Please spread the word and don't hesitate to ask questions.
Please also take notice of the now rather tight deadline!
Cheers
Antoine Doucet
Dear Corpora List community,
The Workshop for NLP Open Source Software (NLP-OSS) had two editions in ACL
2018 and 2022. The primary goal of this workshop is to share insights on
the engineering and community aspects of NLP OSS, which we seldom talk
about in scientific publications.
We are gathering information to know whether the community would like to
see a new edition of the workshop for 2023.
Please do help us know your thoughts on the workshop by filling up this
questionnaire https://forms.gle/oSLvW2dBg1earz4v7
Regards,
Liling
On behalf of (future edition) NLP-OSS Organizers
P/S: The results will be shared openly and most of our workshop
organizations are done openly on https://github.com/nlposs/NLP-OSS
3 Open Positions PostDoc and PhD at FIZ Karlsruhe [1] - Leibniz Institute for Information Infrastructure in the Information Service Engineering research group (FIZ ISE) [2]
in Knowledge Graphs, Ontologies, and Deep Learning
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Position 1: PostDoc on Knowledge Graphs, Deep Learning, Ontological Engineering
https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w…
reference number 41/2022
Description of the Position:
This position is part of the Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE). FIZ ISE investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management.
Job Description:
- We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe
- The offered position will be in the FIZ ISE research team
- We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities
- Furthermore, supervision of master and bachelor theses as well as co-supervision of FIZ ISE PhD students is expected
- We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification
- Our goal is to perform internationally leading research which can be applied in high impact use cases
Qualifications and Skills:
- An excellent completed PhD degree in Computer Science or a related field
- Publications of research results in renowned, peer-reviewed journals and conferences
- Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes
- Successful supervision of bachelor and master theses
- Successful collaborations with other research groups, industry, as well as open-source and community-initiatives, for example in the context - of publicly funded collaborative research projects
- Experience in applying for funding from national, European and international funding agencies
- Excellent English skills, written and spoken, German language skills are highly beneficial
Expertise in several of the following fields of research:
- Knowledge Graphs and Semantic Web Technologies
- Machine Learning and Deep Learning
- Ontology Design and Ontological Engineering
- Natural Language Processing
Duration: The position is limited to two years with optional extension by two more years.
The position is available from December 2022. We will consider applications until the position is filled.
Deadline for application: Nov 15, 2022
Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w…
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Position 2 & 3: PhD or PostDoc Knowledge Graphs & Ontological Engineering
https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o…
reference number: 43/2022
Description of the position:
This position is part of the Platform MaterialDigital project (https://www.materialdigital.de/) on the sustainable digitalization of materials within the FIZ ISE research group [2]. Particular tasks within the project will be the design, implementation, alignment, and maintenance of ontologies for materials science engineering.
- We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe
- The offered position will be in the FIZ ISE research team
- We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities
- Furthermore, supervision of master and bachelor theses (as well as for PostDocs co-supervision of FIZ ISE PhD students) is expected
- We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification
- Our goal is to perform internationally leading research which can be applied in high impact use cases
Qualifications and Skills:
- An excellent completed master degree in Computer Science or a related field
- Publications of research results in renowned, peer-reviewed journals and conferences
- Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes
- Knowledge of materials science is highly beneficial, but not mandatory
Additionally for PostDocs:
- An excellent completed PhD degree in Computer Science or a related field
- Successful supervision of bachelor and master theses
- Successful collaborations with other research groups, industry, as well as open-source and community initiatives, for example in the context of publicly funded collaborative research projects
- Experience in applying for funding from national, European and international funding agencies
- Excellent English skills, written and spoken, German language skills are highly beneficial
Expertise in one (or more) of the following fields of research:
- Knowledge Graphs and Semantic Web Technologies
- Ontology Design and Ontological Engineering
- Natural Language Processing
- Machine Learning and Deep Learning
Duration: The position is limited to two years with optional extension by two more years.
The position is available by now. We will consider applications until the position is filled.
Deadline for the application: Nov 15, 2022.
Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o…
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[1] FIZ Karlsruhe - Leibniz Institute for Information Infrastructure is one of the leading providers of scientific information and services and a member of the Leibniz Association. Our core tasks are the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g., with a focus on research data management, knowledge graphs and digital platforms. To this end, we conduct our own research, cooperate with renowned universities and research societies, and are internationally and interdisciplinarily networked. FIZ Karlsruhe is a limited liability company with a non-profit character and one of the largest non-university institutions of its kind.
[2] Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE) investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management.
FIZ Karlsruhe is committed to promoting the careers of women and therefore looks forward to receiving applications by female candidates. FIZ Karlsruhe also positively welcomes applications from suitably qualified disabled people. Information on data protection for applicants can be found at www.fiz-karlsruhe.de/en/stellenanzeigen.
For questions, please contact Prof. Dr. Harald Sack (Harald.Sack(at)fiz-karlsruhe.de).
SECOND CALL FOR ABSTRACTS
We would like to invite the submission of abstracts for the
computational linguistics poster session of the 45th annual meeting of
the German Linguistic Society (DGfS) hosted by the University of
Cologne. Since the meeting brings together numerous subfields of
linguistics, this is an opportunity to share your work with colleagues
both in and out of the computational linguistics field. We invite
submissions from all areas of computational linguistics and natural
language processing, ranging from machine translation and information
retrieval to speech and dialogue systems and cognitive modeling. We
especially encourage students and junior researchers to participate.
The poster session is organized by the Special Interest Group on
Computational Linguistics of the DGfS (dgfs.de/cl).
Conference homepage: https://dgfs2023.uni-koeln.de/
DATES
- Abstract submission due: October 28, 2022
- Notification of acceptance: November 4, 2022
- Short abstract (for conference website/brochure) due: November 18, 2022
- Conference dates: March 8-10, 2023
SUBMISSION
One page abstract (A4) in PDF format (12pt). Submissions can be in
German or English.
Please submit your abstract via email to: rainer.osswald(a)hhu.de
--
Dr. Rainer Osswald
Department of Computational Linguistics
Heinrich-Heine-Universität Düsseldorf
Universitätsstraße 1
40225 Düsseldorf, Germany
https://user.phil.hhu.de/osswald/
Dear colleagues,
we are writing to inform you that the abstract submission deadline for the
23rd AItLA conference has been extended until *November 3rd*.
The conference topic will be *Multimodal communication: contexts,
practices, resources*.
Confirmed invited speakers include Simona Pekarek Doehler (Université de
Neuchâtel) and Henk van den Heuvel (Radboud Universiteit).
Please, find the call for papers and all relevant information here
<http://www.aitla.it/10-primopiano/816-xxiii-congresso-internazionale-aitla-…>
Feel free to share the call with your networks.
Best,
Letizia Cirillo
(on behalf of the organizing committee)