We invite you to participate in the SemEval 2023 shared task on clickbait spoiling.
Clickbait spoiling means generating or extracting a short message for a clickbait post that spoils the clickbait by filling its curiosity gap.
Learn more at https://clickbait.webis.de/
-------------------------------------------------------------------------------
Important Dates
-------------------------------------------------------------------------------
Now open: Registration
January 10, 2023: Submission deadline
February 2023: Participant paper submission
March 2023: Peer review notification
April 2023: Camera-ready participant papers submission
Summer 2023: SemEval workshop (co-located with a major NLP conference)
Best regards,
PAN team
Call for Papers: KONVENS 2023, Ingolstadt, Germany
We cordially invite submissions of papers and abstracts to KONVENS 2023, which takes place from September 18-22, 2023 at the Technische Hochschule Ingolstadt (Bavaria, Germany). Next to its technical program, KONVENS will feature a lively exchange between academic researchers and colleagues from industry, as well as workshops, tutorials, shared tasks, and networking events.
SPECIAL THEME
Natural language processing (NLP) technology is already part of our everyday life. We hence particularly invite contributions discussing the interaction of language technology and its users, including the application of speech and text technology in various settings (e.g., dialogue processing, mobility, medicine, e-commerce, or digital humanities). We encourage authors to discuss ethical aspects.
We invite two types of submissions:
1. long and short papers that will be archived in the ACL Anthology, and
2. abstracts on ongoing work, student/PhD theses, etc., which will not be archived.
PAPER SUBMISSION INFORMATION
We welcome original, unpublished contributions on research, development, applications and evaluation, covering all areas of natural language processing, ranging from basic questions to practical implementations of natural language resources, components and systems. We encourage the submission of NLP approaches to the German language, and survey papers describing the state of the art in German language and speech processing. We invite contributions from both academia and industry.
We welcome the following types of paper submissions:
· Long papers (8 pages plus references and appendix), describing original research with substantial new results.
· Short papers (4 pages plus references and appendix), including small focused contributions, work in progress, as well as descriptions of projects, systems and resources.
Accepted papers will be presented orally or as posters as determined by the program chairs. The decisions will be based on the nature rather than the quality of the work. The conference languages are English and German. We encourage the submission of contributions in English. Each submission must include a mandatory discussion of Ethical Considerations as well as a section on Limitations (both sections do not count towards the page limit). Papers without these sections will be desk-rejected. The review process will be double-blind. Submissions must be anonymized accordingly. The conference proceedings will be published in the ACL Anthology.
ABSTRACT SUBMISSION INFORMATION
To foster interaction and discussion in our community, we also invite abstracts (max. 2 pages plus references) on the following topics:
* Ongoing projects, open source toolkits and software, repositories, etc.
* Bachelor or Master theses, student projects
* PhD theses (ongoing or finished)
* Use of NLP technology within industrial products
* Opinion pieces
Abstracts should not be anonymized. They will be made available to conference participants, but they will not be archived. Accepted abstracts will be presented as posters at the conference.
We explicitly invite students and doctoral researchers to join the event and present their work and obtain feedback in our student poster session by submitting an abstract.
IMPORTANT DATES
* May 19th, 2023: Paper submission due (all submission types)
* June 30th, 2023: Notification of acceptance
* July 15th, 2023: Camera-ready papers due
* September 18-22 2023: KONVENS
INSTRUCTIONS FOR AUTHORS
Papers and abstracts must be formatted in accordance with the ACL style sheets<https://github.com/acl-org/acl-style-files>. We strongly encourage authors to use LaTeX in preparing their document. Information on the submission procedure will follow shortly.
On Behalf of the Organization Committee
Munir Georges, TH Ingolstadt
Annemarie Friedrich, Bosch Center for Artificial Intelligence, Renningen
Aaricia Herygers, TH Ingolstadt
=========================================================================================
Mit freundlichen Grüßen / Best regards
Dr. Annemarie Friedrich
Natural Language Processing and Semantic Reasoning (CR/PJ-AI-R26)
Robert Bosch GmbH | Postfach 10 60 50 | 70049 Stuttgart | GERMANY | www.bosch.com
Tel. +49 711 811-49626 | Mobil +49 172 3008243 | Annemarie.Friedrich(a)de.bosch.com<mailto:Annemarie.Friedrich@de.bosch.com>
Sitz: Stuttgart, Registergericht: Amtsgericht Stuttgart, HRB 14000;
Aufsichtsratsvorsitzender: Prof. Dr. Stefan Asenkerschbaumer; Geschäftsführung: Dr. Stefan Hartung,
Dr. Christian Fischer, Filiz Albrecht, Dr. Markus Forschner, Dr. Markus Heyn, Rolf Najork
==============
Call for Papers @ Fourth Biennial Conference on Language, Data and
Knowledge (LDK 2023)
Dates: 12–13 September 2023 (Workshops/Tutorials day), 14–15 September 2023
(Main Conference)
Location: Vienna, Austria
Website: http://2023.ldk-conf.org
Submission Deadline: 10 March 2023
==============
We invite submissions for the fourth biennial conference on Language, Data
and Knowledge (LDK 2023) to be held in Vienna, Austria in September 2023.
This conference aims to bring together researchers from across different
disciplines concerned with the acquisition, treatment, curation and use of
language data in the context of data science and knowledge-based
applications. This edition builds upon the success of the inaugural event
held in Galway, Ireland in 2017, the second LDK in Leipzig, Germany in
2019, and the third LDK in Zaragoza, Spain in 2021.
Paper submission
We welcome submission of relevance to the topics listed below. Submissions
can be in the form of:
-
Long papers: 9–12 pages;
-
Short papers: 4–6 pages.
All submission lengths are given including references. Accepted submissions
will be published by ACL in an open-access conference proceedings volume,
free of charge for authors. The ACL templates
<https://github.com/acl-org/acl-style-files> should therefore be used for
all conference submissions.
As the reviewing process is single-blind, submissions should not be
anonymized.
More information will be provided soon regarding the submission platform
and respective link.
Presentation format
Accepted submissions will be selected for oral or poster presentation based
on recommendations from the reviewers. This decision will not reflect any
difference in the quality of the papers, and there will be no distinction
between oral and poster presentations in the published proceedings. Authors
of accepted short papers or posters are welcome to present their work as a
demo in addition to the regular presentation. The conference will be hybrid
(face-to-face and remote). Note that at least one author of each accepted
paper must register to present the paper at the conference (either remotely
or on-site). There will be no registration fee administered for
participating in LDK 2023.
Topics
Relevant topics for the conference include, but are not limited to, the
following fields:
Language Data
-
Language data construction and acquisition
-
Language data annotation
-
FAIR data practices for language data
-
Language data portals and metadata about language data
-
Organisational and infrastructural management of language data
-
Multilingual, multimedia and multimodal language data
-
Evaluation, provenance and quality of language data
-
Visualisation of language data
-
Standards and interoperability of language data
-
Legal aspects of publishing language data
-
Under-resourced languages
-
e-Lexicography
-
Semantic processing
Knowledge Graphs
-
Linguistic linked data and the multilingual semantic web
-
Ontologies, terminologies, wordnets, framenets and related resources
-
Information and knowledge extraction (taxonomy extraction, ontology
learning)
-
Data, information and knowledge integration across languages
-
(cross-lingual) ontology alignment
-
Entity linking and relatedness
-
Linked data profiling
-
Knowledge representation and reasoning
-
Knowledge graphs for corpora processing and analysis
Applications for Language, Data and Knowledge
-
Question answering and semantic search
-
Text analytics on big data
-
NLP for language documentation and preservation
-
Speech recognition and synthesis
-
Spoken language processing
-
Semantic content management
-
Computer-aided language learning
-
Natural language interfaces to big data
-
Knowledge-based NLP
-
Deep learning and machine learning for and on LLOD
-
Other applications
Use Cases in Language, Data and Knowledge
Contributions are welcome where the topics above - and others within the
scope of Language, Data and Knowledge - are applied to domain-specific use
cases, including but not limited to social sciences and humanities, legal,
life sciences, FinTech, cybersecurity.
Organising committee
Conference Chairs
-
Jorge Gracia – University of Zaragoza
-
John P. McCrae – University of Galway
Program Chairs:
-
Sara Carvalho – University of Aveiro
-
Anas Fahad Khan – Institute for Computational Linguistics “A. Zampolli”
Workshop and tutorial chairs:
-
Ana Ostroški Anić – Institute of Croatian Language and Linguistics
-
Blerina Spahiu – University of Milano-Bicocca
Local Chair:
-
Dagmar Gromann – University of Vienna
Proceedings Chair:
-
Ana Salgado – Lisbon Academy of Sciences
Important Dates
10 March 2023
Paper submission deadline
28 April 2023
Notification
26 May 2023
Camera-ready submission deadline
12–13 September 2023
Pre-conference events
14–15 September 2023
Main conference
Note that a call for workshop proposals is to follow with a submission
deadline for 19th of December.
All deadlines refer to anywhere-on-earth time.
Program Committee (to be announced)
Call for Internship applications in Natural Language Processing
Title : Study on the accuracy of citations in scientific papers
Starting date : February 2023
Application deadline : December 5th, 2022
Location: LIG laboratory, Grenoble Alps University, France
Keywords: Natural language processing, Scientific literature, citation accuracy
Context :
The NanoBubbles ERC Synergy project’s objective ( https://nanobubbles.hypotheses. org ) is to understand how, when and why science fails to correct itself. The project focuses on claims made within the field of nanobiology. Project members combine approaches from the natural sciences, computer science, and the social sciences and humanities (Science and Technology Studies) to understand how error correction in science works and what obstacles it faces. For this purpose, we aim to trace claims and corrections through various channels of scientific communication (journals, social media, advertisements, conference programs, etc.) via both qualitative and digital methods.
Internship objectives :
In scientific papers, citations acknowledge the sources and help the reader to find more information about the citation context. Citations are also an important indicator ex ploited to identify significant publications in a specific scientific field (Arag on 2013). They are used for different purposes, e.g. referring to state of the art, to a specific method or result, and they reflect how authors frame their work and this diversity impacts future academics adoption (Jurgens 2018).
Recently, there have been numerous research in Natural Language Processing on citation analysis in scientific literature. Studies of citation behavior aim at understanding how researchers cited a paper in their work. Existing works on citation analysis deal with determining citation sentiment (Liu 2017, Athar 2011), finding out citation function (Yu 2020, Pride 2019, Bakhti 2018) and identifying criti cal citation contexts (Te 2022). Nevertheless, studies that evaluate the accuracy of citations are scarce.
Studies on the accuracy of citations in various scientific disciplines demonstrate an error rate of 25%-54% (Jergas 2015, Siebers 2000, Kristof 1997, Key 1977). These errors alter the original content and meaning of the cited paper. They can range from minor to major errors in citation accuracy. Several studies describe various issues that may arise when citing original research done by others.
For example, in the following sentence “ it has been shown that bubblegum is much more pink than flamingo while running very fast [Einstein A., 1916] ”:
* “ [Einstein A., 1916] ” represents the "citation"
* The citation refers to the following scientific paper “ Einstein, A. (1916 (translation 1920)), Relativity: The Special and General Theory ”
* The Einstein’s paper represents the cited paper
* The cited paper is not correlated with the meaning of the sentence, i.e. there is no relation between the colors and the relativity notion.
The aim of this internship is to assess the content of both cited and citing papers in scientific literature, i.e. study the correlation between the citation and its context in the citing paper in order
to identify miss-citations.
The intern tasks would then be to (1) test and compare unsupervised NLP methods and pre-trained embedding models (SciBert, BioBert, etc. ) in order to measure the accuracy of citations using available datasets, and to (2) provide project members with a set of reliable tools.
Skills :
* Being enrolled in a Master in Natural Language Processing, computer science or data science.
* Good programming skills in Python, experience with natural language processing tools and frameworks, knowledge of machine learning methods and deep learning technics.
* Ability to communicate and write in English is a plus
Scientific environment :
The work will be conducted within the Sigma team of the LIG labora tory (http://sigma.imag.fr). The recruited person will be welcomed within the team which offer a stimulating, multinational and pleasant working environment.
Instructions for applying :
Applications must contain a CV + letter/message of motivation + mas ter grades + letter(s) of recommendation (or names for potential letters), and be addressed to Cyril Labbé (cyril.labbe(a)imag.fr) and Amira Barhoumi (amira.barhoumi(a)univ-grenoble-alpes.fr). Applica tions will be considered on the fly. It is therefore advisable to apply as soon as possible.
References :
* (Arag on 2013) Arag on M. A measure for the impact of research. Scientific reports. 2013;3(1):1–5.
* (Jurgens 2018) Jurgens D, Kumar S, Hoover R, Mc-Farland D, Jurafsky D. Measuring the Evo lution of a Scientific Field through Citation Frames. Transactions of the Association for Com putational Linguistics. 2018;6:391–406.
* (Jergas 2015) Jergas H, Baethge C. Quotation accuracy in medical journal articles-a systematic review and meta-analysis. PeerJ. 2015;3:e1364.
* (Kristof 1997) Kristof C. Accuracy of reference citations in five entomology journals. Am Ento mol. 1997;43(4):246-251.
* (Key 1977) Key JD, Roland CG. Reference accuracy in articles accepted for publication in the Archives of Physical Medicine and Rehabilitation. Arch Phys Med Rehabil. 1977;58(3):136-137.
* (Siebers 2000) Siebers R, Holt S. Accuracy of references in five leading medical journals. Lancet. 2000;356(9239):1445.
* (Te 2022) Te S, Barhoumi A, Lentschat M, Bordignon F, Labb ? e C, Portet F. Citation Context Classification: Critical vs Non-critical. In proceedings of the Third Workshop on Scholarly Document Processing. 2022:49-53.
* (Liu 2017) Liu H. Sentiment analysis of citations using word2vec. 2017;CoRR, abs/1704.00177.
* (Athar 2011) Athar A. Sentiment analysis of citations using sentence structure-based features. In Proceedings of the ACL 2011 Student Session. 2011:81–87.
* (Bakhti 2018) Bakhti K, Niu Z, Yousif A, Nyamawe A. Citation Function Classification Based on Ontologies and Convolutional Neural Networks. 2018:105–115.
* (Pride 2019) Pride D, Knoth P, Jozef Harag J. Act: An annotation platform for citation typing at scale. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). 2019:329–330.
* (Yu 2020) Yu W, Yu M, Zhao T, Jiang M. Identifying referential intention with heterogeneous contexts. 2020:962–972.
CALL FOR COURSE AND WORKSHOP PROPOSALS
34th European Summer School in Logic, Language and Information – ESSLLI
2023
31 July–11 August, 2023, Ljubljana, Slovenia
https://2023.esslli.eu/
Important Dates
===============
13 January 2023: Course Title submission deadline (mandatory)
20 January 2023: Final submission
3 March 2023: Notification
Introduction
============
Under the auspices of the Association for Logic, Language, and
Information (FoLLI), the European Summer School in Logic, Language, and
Information (ESSLLI) runs every year. Except for 2021, where the school
was virtual, it runs in a different European country each year. It takes
place over two weeks in the summer, hosts approximately 50 different
courses at both introductory and advanced levels, and attracts around
400 participants from all over the world.
Since 1989, ESSLLI has been providing outstanding interdisciplinary
educational opportunities in the fields of Computer Science, Cognitive
Science, Linguistics, Logic, Philosophy, and beyond. It comes from a
community which recognizes that advances in our common areas require the
contributions of multiple interrelated disciplines.
The main focus of ESSLLI is the interface between linguistics, logic and
computation, with special emphasis in human linguistic and cognitive
ability. Courses, both introductory and advanced, cover a wide variety
of topics within the combined areas of interest: Logic and Computation,
Computation and Language, and Language and Logic. Workshops are also
organized, providing opportunities for in-depth discussion of issues at
the forefront of research, as well as a series of invited evening
lectures.
Topics and Format
=================
Proposals for courses and workshops at ESSLLI 2023 are invited in all
areas of Logic, Linguistics and Computer Sciences. Cross-disciplinary
and innovative topics are particularly encouraged.
Each course and workshop will consist of five 90 minute sessions,
offered daily (Monday-Friday) in a single week. Proposals for two-week
courses should be structured and submitted as two independent one-week
courses, e.g. as an introductory course followed by an advanced one. In
such cases, the ESSLLI program committee reserves the right to accept
just one of the two proposals.
All instructional and organizational work at ESSLLI is performed
completely on a voluntary basis, so as to keep participation fees to a
minimum. However, organizers and instructors have their registration
fees waived, and are reimbursed for travel and accommodation expenses up
to a level to be determined and communicated with the proposal
notification. ESSLLI can only guarantee reimbursement for at most one
course/workshop organizer, and cannot guarantee full reimbursement of
travel costs for lecturers or organizers from outside of Europe. The
ESSLLI organizers would appreciate any help in controlling the School's
expenses by seeking partial or complete coverage of travel and
accommodation expenses from other sources.
Categories
==========
Each proposal should fall under one of the following categories.
Foundational Courses
--------------------
Such courses are designed to present the basics of a research area, to
people with no prior knowledge in that area. They should be of
elementary level, without prerequisites in the course's topic, though
possibly assuming a level of general scientific maturity in the relevant
discipline. They should enable researchers from related disciplines to
develop a level of comfort with the fundamental concepts and techniques
of the course's topic, thereby contributing to the interdisciplinary
nature of our research community.
Introductory Courses
--------------------
Introductory courses are central to ESSLLI's mission. They are intended
to introduce a research field to students, young researchers, and other
non-specialists, and to foster a sound understanding of its basic
methods and techniques. Such courses should enable researchers from
related disciplines to develop some comfort and competence in the topic
considered. Introductory courses in a cross-disciplinary area may
presuppose general knowledge of the related disciplines.
Advanced Courses
----------------
Advanced courses are targeted primarily to graduate students who wish to
acquire a level of comfort and understanding in the current research of
a field.
Workshops
---------
Workshops focus on specialized topics, usually of current interest.
Workshop organizers are responsible for soliciting papers and selecting
the workshop program. They are also responsible for publishing
proceedings if they decide to have proceedings.
Proposal Guidelines
===================
Course and workshop proposals should closely follow these guidelines to
ensure full consideration.
Course and Workshop proposals can be submitted by no more than two
lecturers/organizers and they are presented by no more than these two
lecturers/organizers. All instructors and organizers must possess a PhD
or equivalent degree by the submission deadline.
Course proposals should mention explicitly the intended course category.
Proposals for introductory courses should indicate the intended level,
for example as it relates to standard textbooks and monographs in the
area. Proposals for advanced courses should specify the prerequisites in
detail.
Proposals of Courses given at ESSLLI the previous year will have a lower
priority of being accepted in the current year.
Proposals must be in PDF format include all of the following:
1. Personal information for each proposer: Name, affiliation, contact
address, email, homepage (optional)
2. General proposal information: Title, category
3. Contents information:
a. Abstract of up to 150 words
b. Motivation and description (up to two pages)
c. Tentative outline
d. Expected level and prerequisites
e. Appropriate references (e.g. textbooks, monographs, proceedings,
surveys)
4. Information on the proposer and course:
a. Will your course appeal to students outside of the main
discipline of the course?
b. Include information on your experience in the intensive one-week
interdisciplinary setting
c. Include evidence that the course proposer is an excellent
lecturer
5. Information from workshop organizers:
a. Include information on relevant preceding meetings and events,
if applicable
b. Include information about potential external funding for
participants
Submission Information
======================
**By January 13, 2023:** You are asked to submit in EasyChair at least
the name(s) of the instructor(s), the ESSLLI area+course level and a
short abstract.
**By January 20:** Your submission must be completed by uploading a PDF
with the actual proposal as detailed above.
Submission Portal
=================
Please submit your proposals to
https://easychair.org/conferences/?conf=esslli2023
Childcare
=========
If there is enough interest, ESSLLI will provide information on private
child care services available during the summer school.
EACSL Sponsorship
=================
The EACSL will support one Logic and Computation course or workshop
addressing topics of interest to Computer Science Logic (CSL)
conferences. The selected course or workshop will be designated an EACSL
course/workshop in the programme. If you wish to be considered for this,
please indicate so in your proposal.
Organizing Committee
====================
Slavko Žitnik (University of Ljubljana) (chair)
Špela Vintar (University of Ljubljana)
Timotej Knez (University of Ljubljana)
Mojca Brglez (University of Ljubljana)
Matej Klemen (University of Ljubljana)
Aleš Žagar (University of Ljubljana)
Program Committee
=================
Juha Kontinen (University of Helsinki) (chair)
Kaja Dobrovoljc (University of Ljubljana) (local co-chair)
Area Chairs Language and Computation (LaCo)
-------------------------------------------
Kilian Evang (Heinrich Heine University Düsseldorf)
Miryam de Lhoneux (KU Leuven)
Shane Steinert-Threlkeld (University of Washington)
Area Chairs Language and Logic (LaLo)
-------------------------------------
Ivano Ciardelli (University of Padua)
Agata Renans (Ruhr-Universität Bochum)
Jacopo Romoli (Heinrich Heine University Düsseldorf)
Area Chairs Logic and Computation (LoCo)
----------------------------------------
Natasha Alechina (Utrecht University)
Alessandra Palmigiano (Vrije Universiteit Amsterdam)
Lutz Straßburger (Inria Saclay & École Polytechnique)
ESSLLI Steering Committee
=========================
Darja Fiser (University of Ljubljana) (chair)
Phokion Kolaitis (University of California, Santa Cruz) (vice-chair)
Roman Kuznets (TU Wien)
Petya Osenova (Bulgarian Academy of Sciences and Sofia University)
(secretary)
Jakub Szymanik (University of Amsterdam)
---
*Apologies for cross-posting*
Call for papers
HCI International 2023 Session: "Semantic, artificial and
computational interaction studies: Towards a behavioromics of
multimodal communication"
Manual gestures, facial expressions, head movements, shrugs, laughter,
body orientation, speech, pauses: they all contribute to constituting
what is called "multimodal interaction". Aiming at natural (for
humans) interfaces, the field of HCI paid attention to this social
fact early on. It is also a vital topic in conversation analysis and
cognitive science and begins to percolate to theoretical linguistics
and (formal) semantics. Simultaneously, due to the digital turn, work
on multimodal communication is expanded by data analytics, that is,
statistical means to describe the form of communication. However,
while conjoint in investigating a common empirical domain, there is
little exchange between these fields. This session aims at bringing
these branches together. Potential goals are to delineate experimental
studies, computational methods, resource building, and exploration to
integrate symbolic, statistical, laboratory, field, and corpus-based
approaches -- a joint methodological endeavor that might be called
"behavioromics." The session is open, but not restrcted, to topics
such as the following:
- dialogue semantics and dialogue systems
- (big) gesture data
- multimodal interaction data
- creation and exploitation of multimodal corpora
- virtual reality avatars as experimental setting
- cross-modal tracking
- data-based multimodal analysis
- detecting multimodal ensembles or gestalts
- automatic annotation of everything beyond written text
- representation schemes for multimodal communication
We want to emphasize that conceptual contributions are highly welcome!
The conference session aims at providing a platform for bringing
together semanticists, computer scientists and researchers from
related fields that deal with multimodal interaction. We all work on
virtually the same topic but from different angles, but there are way
to few opportunities to get in touch. But exchange and seeing what
others are doing is crucial to approach the above-outlined,
methodological, empirical and theoretical challenges.
The conference session will take place *virtually* in conjunction with
HCI International 2023 (https://2023.hci.international/).
Full papers will be published as part of the conference proceedings by
Springer.
*If you want to contribute, please send a message to Andy Lücking
(luecking(a)em.uni-frankfurt.de).*
Important dates:
- December 04, 2022: upload abstract
- Notification of review outcome: 20 December 2022
- February 14, 2023: full paper is due
- 23-28 July 2023: HCI International conference (virtual)
Session organizers:
Cornelia Ebert
(https://www.linguistik-in-frankfurt.de/personal/cornelia-ebert/)
Andy Lücking (https://www.texttechnologylab.org/team/andy-luecking/;
http://www.llf.cnrs.fr/en/Gens/L%C3%BCcking)
Alexander Mehler (https://www.texttechnologylab.org/team/alexander-mehler/)
Second Call for papers
*WORKSHOP ON MULTIMODAL MACHINE LEARNING IN LOW-RESOURCE LANGUAGES at ICON
2022 <https://lcs2.in/ICON-2022/>*
*Link: *https://sites.google.com/view/mmlow-icon2022/home?authuser=0
In recent years, the exploitation of the potential of big data has resulted
in significant advancements in a variety of Computer Vision and Natural
Language Processing applications. However, the majority of tasks addressed
thus far have been primarily visual in nature due to the unbalanced
availability of labelled samples across modalities (e.g., there are
numerous large labelled datasets for images but few for audio or IMU-based
classification), resulting in a large performance gap when algorithms are
trained separately. With its origins in audio-visual speech recognition
and, more recently, in language and vision projects such as image and video
captioning, multimodal machine learning is a thriving multidisciplinary
research field that addresses several of artificial intelligence's (AI)
original goals by integrating and modelling multiple communicative
modalities, including linguistic, acoustic, and visual messages. Due to the
variability of the data and the frequently observed dependency between
modalities, this study subject presents some particular problems for
machine learning researchers. Because the majority of this hateful content
is in regional languages, they easily slip past online surveillance
algorithms that are designed to target articles written in resource-rich
languages like English. As a result, low-resource regional languages in
Asia, Africa, Europe, and South America face a shortage of tools, benchmark
datasets, and machine learning approaches.
This 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 a 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
with regards,
Dr. Bharathi Raja Chakravarthi,
Assistant Professor / Lecturer-above-the-bar
School of Computer Science, University of Galway, Ireland
Insight SFI Research Centre for Data Analytics, Data Science Institute,
University of Galway, Ireland
E-mail: bharathiraja.akr(a)gmail.com ,
bharathiraja.asokachakravarthi(a)universityofgalway.ie
Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en
Special Issue on Language Technology for Safer Online Social Media
Platforms in Low-resource Eurasian Languages
<https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang…>
Experienced Researcher (R2) - Analysis of social media and disinformation
With respect to its intensive development in 2022, the Institute GATE (in
Sofia, Bulgaria) is looking for:
Experienced Researcher (R2) – Analysis of social media and disinformation
Application deadline: 15 November 2022
GATE is a joint initiative between Sofia University “St. Kliment Ohridski”,
Chalmers University of Technology, Sweden and Chalmers Industrial
Technology, Sweden. The Swedish institutions are leading organizations in
strategic initiatives such as AI Sweden, AI Research Centre, AI Innovation
of Sweden and the Digital Twin Cities Centre.
GATE develops research capacity and potential in Big Data and Artificial
Intelligence, cultivating the next generation of leading scientists by
expanding the existing research network and establishing long-term
agreements with leading global organizations. The Institute builds
sustainable stakeholder relationships, focusing on technological
collaboration between government, industry, academia and non-governmental
organizations towards Artificial Intelligence and smart decision-making
models.
We use artificial intelligence for a better and safer life.
Be part of the future and participate in applied research that develops
innovations in the field of big data and artificial intelligence in
collaboration with the scientific community, business and government.
For our research team, we are looking for young at heart, motivated for
high results and open to the unlimited possibilities of the future.
Experienced Researcher
Research group: Analysis of social media and disinformation
Disinformation is not a new phenomenon; however, it reached an impressive
level with the growing use of social media by the population. The
extraction of data from social media, the various analysis and
visualization methods are essential instruments in the study of dynamics of
information flows and in the understanding of the mechanisms used for
creating and spreading disinformation.
GATE Institute is looking for experienced researchers who are interested in
data extraction and analysis from social media for developing analyses
tools for content in the Bulgarian language.
The suitable applicants for this post should have a solid background,
experience and publications in the domain of information and communication
technologies, preferably with a specialization in one or more of the
following domains: data retrieval, artificial intelligence, natural
language processing. The practical experience in the development and
testing of methods for social media analysis is an asset.
Your responsibilities:
- Designs, implements and supports complex data models data in the
domain of social media analysis in Bulgarian and English;
- Develops solutions for extracting data from different sources: text
documents, relational databases, etc.
- Develops models which help in the analysis of social media content;
- Plans educational activities and teaches in programs in the domain of
analysis of natural language and social media contents;
- Participates in research on methods for analysis and content analysis
in Bulgarian and other languages;
- Evaluates new methods in comparison with the academic literature and
the best international practice;
- Develops ontologies to present the data semantics;
- Contributes to the development of research projects in the domain of
social media content analysis;
- Keeps themselves up to date with the newest technological trends;
- Contributes in publications with high research impact;
- Participates in suitable activities for education and development.
Requirements:
- PhD Degree in computer science, computational linguistics, natural
language processing, or another technological or philological area.
Alternatively, a Master’s Degree in the same areas plus a minimum of 4
years of relevant experience in industry or academia;
- Experience in the analysis of social media data;
- Experience in the documentation and creation of datasets;
- Experience in tools for collecting social media data, e.g.
Crowdtangle, APIs for Twitter, YouTube;
- Experience in developing models and machine learning, e.g. Python
- Excellent written and oral communication and presentation skills;
- Ability to prioritise tasks and work on multiple tasks and motivation
for achieving high-quality results;
- Understanding of the principles of Open Science;
- Excellent knowledge of English language;
- Preferably - knowledge of Bulgarian;
- Experience in one or more of the following:
- Experience and good knowledge of the concepts of natural language
processing (text extraction, analysis, generation of texts in natural
language) and processing of models for machine learning: Supervised and
Unsupervised machine learning, Neural Networks, Support vector machines,
Kernel methods;
- experience in extracting data from social media.
Our offer:
- You will have the freedom to conduct research in any area within the
scope and priorities of GATE, creating new visions for the future
- You will be provided with numerous opportunities for learning,
knowledge exchange and career development, locally and internationally
- Your research will be supported by an advanced research
infrastructure, comprising of the GATE platform and Open Innovation Labs
- You will have a flexible work schedule and, a modern and appealing
work environment, stirring up creativity and productivity
- Competitive working conditions and a salary commensurate with your
skills and experience
How to apply
Please send your contact data and files with personal documents on our
Application
Form – Gate (gate-ai.eu) <https://gate-ai.eu/en/application-form/> till 15
November 2022:
- Cover/motivation letter that explains the motivating factors for
considering the position (max. 1 pp),
- CV with complete publication list,
- Copies of diplomas for completed education and certificates of
qualification,
- Copies of documents certifying past work experience in the relevant
field,
- Brief description of important scientific achievements and scientific
outlook (max. 2 pp),
- Two references letters or personal recommendations, arranged by
applicants and directly submitted by the letter or provided as contact data
in the cover letter,
- As an attachment to your application please sign and enclose the
following declaration:
*I agree to the processing of my personal data included in this
application for the needs necessary to carry out the recruitment.*
Additional information on the site www.gate-ai.eu or contact us on:
milena.dobreva(a)gate-ai.eu
By applying for these positions, you voluntarily provide your personal data
and consent to be processed for the purpose of recruitment and selection of
personnel. The processing of your personal data shall be carried out in
accordance with the requirements of Regulation (EU) 2016/679 (General Data
Protection Regulation), the Personal Data Protection Law and related legal
acts in Bulgaria.
--
*Irina Temnikova, Experienced scientific researcher*
*Computational linguistics, Natural Language Processing*
*Translation technologies*
*Machine Translation, **Translation*
*https://gate-ai.eu/en/staff/irina-temnikova-phd/
<https://gate-ai.eu/en/staff/irina-temnikova-phd/> *
https://www.linkedin.com/in/irina-temnikova/https://scholar.google.bg/citations?user=7BcpifAAAAAJ&hl=en
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*Apologies for cross-posting*
[image.png]
CFP: Special issue on The Role of Context in Neural Machine Translation Systems and its Evaluation in Natural Language Engineering
Guest editors:
- Sheila Castilho (The ADAPT Centre, School of Applied Languages and Intercultural Studies, Dublin City University))
- Rebecca Knowles (National Research Council Canada)
For this special issue, we invite the submission of papers focusing on the variety of novel implementations of context into neural machine translation systems as well as novel approaches to its evaluation. Recent claims that machine translation systems are reaching (near) human parity at the sentence level have been followed by subsequent analyses that indicate remaining gaps in translation quality at the document level. How best to evaluate machine translation at the document level (and what exactly constitutes document level evaluation) remains an open question. At the same time, there is work seeking to add discourse and context into neural machine translation systems. Papers that focus on topics of context in neural machine translation, machine translation evaluation, or both are welcome.
For full details, see: https://sites.google.com/dcu.ie/nlecontextnmt/home
Topics of interest include, but are not limited to:
- Novel language processing techniques for implementing discourse in NMT systems
- Document-level NMT and evaluation
- Use of target and source context
- Context-aware techniques for quality evaluation
- Context-aware automatic and human evaluation metrics
- The size and composition of the training data and its effect on context-aware systems
- The effect of the quality of training data and test sets on context-aware systems
- Translationese and its effect on document-level training
- Lexical diversity and lexical density in discourse NMT
- Discourse NMT for different domains
Publication Timeline:
- Articles deadline submission: 1 February 2023
- Return of reviews to contributors: 1 April 2023
- Revised articles deadline submission: 1 May 2023
- Return of second reviews to contributors (if applicable): 1 July 2023
- Final Submission: 15 September 2023
- Publication: November 2023 / January 2024
Format and Submission:
Typical submissions will be 12-25 pages in length. Authors should follow the "Author Instructions" section on the journal website: https://www.cambridge.org/core/journals/natural-language-engineering/inform…
We highly recommend using the LaTeX template found under "Preparing your materials" at the link above.
All manuscripts must be submitted online via the NLE ScholarOne website: http://mc.manuscriptcentral.com/nle. Under "Special Issue Designation", choose "The Role of Context in Neural Machine Translation Systems and its Evaluation".
Queries:
Any queries related to this special issue should be addressed to sheila.castilho(a)dcu.ie<mailto:sheila.castilho@dcu.ie> with NLE-ContextNMT in the subject line.