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SEMANTiCS - 19th International Conference on Semantic Systems
Leipzig, Germany
September 20 - 22, 2023
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The Research and Innovation track at SEMANTiCS 2023 EU welcomes papers on novel scientific research and/or innovations relevant to the topics of the conference. Submissions must be original and must not have been submitted for publication elsewhere. Papers must follow the guidelines given in the author instructions, including references and optional appendices. Each submission will be reviewed by several PC members who will assess it based on its innovativeness, technical merits, and effectiveness at solving real problems.
SEMANTiCS 2023 especially invites contributions that target the following main topics, sub-topics in the context of semantic-based research and systems as well as applicative domains.
= Topics of Interest =
* Topics of interest include, but are not limited to:
* Web Semantics & Linked (Open) Data
* Enterprise Knowledge Graphs, Graph Data Management
* Machine Learning Techniques for/using Knowledge Graphs (e.g. reinforcement learning, deep learning, data mining and knowledge discovery)
* Knowledge Management (e.g. acquisition, capture, extraction, authoring, integration, publication)
* Terminology, Thesaurus & Ontology Management
* Reasoning, Rules, and Policies
* Natural Language Processing for/using Knowledge Graphs (e.g. entity linking and resolution using target knowledge such as Wikidata and DBpedia, foundation models)
* Crowdsourcing for/using Knowledge Graphs
* Data Quality Management and Assurance
* Mathematical Foundation of Knowledge-aware AI
* Multimodal Knowledge Graphs
* Semantics in Data Science
* Semantics in Blockchain environments
* Trust, Data Privacy, and Security with Semantic Technologies
* Economics of Data, Data Services, and Data Ecosystems
* IoT and Stream Processing
* Conversational AI and Dialogue Systems
* Provenance and Data Change Tracking
* Semantic Interoperability (via mapping, crosswalks, standards, etc.)
Special Sub-Topics:
* Digital Humanities and Cultural Heritage
* LegalTech, AI Safety, Explainable and Interoperable AI
* Decentralized and/or Federated Knowledge Graphs
Application of Semantically Enriched and AI-Based Approaches:
* Knowledge Graphs in Bioinformatics and Medical AI
* Clinical Use Case of AI-based Approaches
* AI for Environmental Challenges
* Semantics in Scholarly Communication and Open Research Knowledge Graphs
* AI and LOD within GLAM (galleries, libraries, archives, and museums) institutions
= Important Dates =
* Abstract Submission Deadline: May 09, 2023 (11:59 pm, Hawaii time)
* Paper Submission Deadline: May 16, 2023 (11:59 pm, Hawaii time)
* Notification of Acceptance: June 20, 2023 (11:59 pm, Hawaii time)
* Camera-Ready Paper: July 04, 2023 (11:59 pm, Hawaii time)
Submission via Easychair on https://easychair.org/
= Author Guidelines and Submission =
* The Research and Innovation Track welcomes long and short papers. Long papers should have 12-15 pages of content (excluding references) and short papers of a maximum length of 6 pages of content (excluding references). Since references are excluded from page counting, it is fine to have one or more additional pages for references if they are relevant to the study submitted.
* Submissions should follow the guidelines of IOS Press. Details are available at https://www.iospress.com/book-article-instructions.
* Abstract submission for all papers is a strict requirement. To facilitate bidding, we strongly suggest the authors submit structured abstracts.
* All papers and abstracts have to be submitted electronically via EasyChair.
* Submissions must be in English.
* Submissions must be anonymous; the reviewing process is double-blind, but reviewers will be able to disclose their identities if they wish, by signing their reviews.
* Accepted papers will be published in open access proceedings by IOS Press, and the text of all the reviews (excluding the scores) of all the accepted papers will be posted on the conference website and will be archived on Zenodo as publicly available material.
* At least one author of each accepted paper must register for the conference and present the paper.
* All authors are strongly suggested to provide optional links to code, materials, and datasets during the submission process - we will have specific optional fields in the EasyChair submission form - the review process will take these into account when provided. To anonymise resources for the reviewing process, authors can use services like Anonymous GitHub or figshare/Zenodo as described here.
* The Research and Innovation Track will not accept papers that, at the time of submission, are under review or have already been published in or accepted for publication in a journal or another conference.
* All authors will have the opportunity to provide an ORKG comparison in the Open Research Knowledge Graph (https://orkg.org) during the submission process - we will have a specific optional field in the EasyChair submission form.
= Review and Evaluation Criteria =
Each submission will be reviewed by several Programme Committee members. The reviewing process is double-blind. However, reviewers can disclose their identity by signing their reviews and/or adding one of their persistent identifiers (e.g. their ORCID).
The text of all the reviews (excluding the scores) of all the accepted papers will be posted on the conference website with the basic bibliographic metadata of the reviewed submission (i.e. title and authors), and it will be archived on Zenodo as publicly available material. All the signed reviews of the accepted papers will be licensed using a Creative Commons Attribution license (CC-BY, the copyright holder will be the reviewer), except the anonymous ones that will be released in CC0.
Papers submitted to this track will be evaluated according to the following criteria:
* Appropriateness
* Originality, novelty, and innovativeness
* Impact of results
* Soundness of the evaluation
* Proper comparison to related work
* Clarity and quality of writing
* Reproducibility of results and resources
We are looking forward to your contribution!
Maribel Acosta & Silvio Peroni
Research and Innovation Track Chairs
Modyco lab (Paris Nanterre University & CNRS, France, https://modyco.fr/welcome/) is seeking to support applications on a Research Associate positions at the French Centre National de la Recherche Scientifique (cnrs.fr) for a special position in NLP and under-resourced languages : https://gestionoffres.dsi.cnrs.fr/fo/offres/detail-fr.php?&offre_id=18.
CNRS Research Associate positions are full-time permanent positions intended for candidates in their early career. Applicants must hold a PhD by the application deadline (January 5, 2023). Knowledge of French is not required.
Modyco lab has a component in Corpus-based modelling with colleagues working in NLP and linguistics. We are currently heading a funded project, ANR Autogramm, on induction of descriptive grammars from annotated corpora, involving about 40 researchers in NLP, formal linguistics, corpus linguistics, and field linguistics (https://autogramm.github.io/en/).
Paris Nanterre University has a very attractive master degree in NLP (plurital.org), in collaboration with Sorbonne Nouvelle University and INALCO, and several PhD students in NLP.
Although CNRS recruits researchers by way of a national competition, applicants are encouraged to select one or more research labs to which they would like to be assigned, and support is crucial for a successful application.
Prospective applicants that wish to be supported by Modyco are invited to contact sylvain(a)kahane.fr as soon as possible, sending a CV and a short description of their research profile.
Sylvain Kahane
Professor of linguistics
Head of the Corpus-based modelling team
Co-head of the NLP master degree
Head of the ANR Autogramm project
Dear friends and colleagues,
As the Covid pandemic has further entrenched online communication in
people's daily lives around the world, we are planning to embark on a
research project on multimodality in online communication across world
Englishes (the data we collect will subsequently be published as a
corpus). A multimodal analysis could potentially cover a wide variety of
levels of analysis, not all of which might be equally important. We
would be grateful if you could share your views on this question in the
following, brief survey, which only takes 5 - 10 minutes.
https://bit.ly/3iPXgrc
The survey will be open until December 17. Thank you!
Guyanne Wilson, University College London, United Kingdom
Robert Fuchs, University of Hamburg, Germany
--
Prof. Dr. Robert Fuchs (JP) | Department of English Language and
Literature/Institut für Anglistik und Amerikanistik | University of
Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 |
https://uni-hamburg.academia.edu/RobertFuchs |
https://sites.google.com/view/rflinguistics/
Mailing list on varieties of English/World Englishes/ENL-ESL-EFL.
Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join
Are you a non-native speaker of English? Please help us by taking this
short survey on when and how you use the English language:
https://lamapoll.de/englishusageofnonnativespeakers-1/
FINAL REMINDER 12/12/2022 is the deadline for submitting a paper to
the 10th LANGUAGE AND TECHNOLOGY CONFERENCE (LTC'23, April 21-23, 2023
in Poznań, Poland).
---- CONFERENCE DATES/DEADLINES:
* Deadline for submitting a paper to the main conference: December 12, 2022
* Acceptance/Refusal notification: January 7, 2023
* Camera-ready version due: January 16, 2023
PAPER SUBMISSION
The conference accepts papers in English only. Papers (5 formatted pages
in the conference format) are due by
December 12, 2022 (midnight, any time zone) and should not disclose the
author(s) in any manner.
All submissions are to be made electronically via the LTC 2023 web
submission system (EasyChair).
Paper templates are available at http://www.ltc.amu.edu.pl (Paper
Submission section).
NOTE, in case you have any question about the conference or workshops,
like a problem with a deadline, a question about
the submissiont procedure, the paper format, or any issue regarding
participation to the conference or workshop,
please do not hesitate to contact us directly:
LTC23 Co-chairs: Zygmunt Vetulani (vetulani(a)amu.edu.pl) and Patrick
Paroubek (pap(a)lisn.fr)
LTC23 Secretary: Marta Witkowska (marta.witkowska(a)amu.edu.pl)
For more information regarding the conference (topics, style sheet,
publication etc.)
please visit: http://ltc.amu.edu.pl/
---- LTC’23 SPECIAL TRACKS/WORKSHOPS:
* The 7 th Less Ressourced Languages Workshop (LRL 2023)
Deadline for paper submissions: December 16, 2022
Notification of acceptance: January 6, 2023
Camera-ready version due: January 15, 2023
* The Fourth Workshop on Processing Emotions, Decisions and Opinions
(EDO 2023)
Deadline for paper submissions: February 1st, 2023
Notification of acceptance: February 20th, 2023
Camera-ready papers: March 1nd, 2023
* The 1st Workshop on Human Language Technologies as Business Management
Communication Support (HLT4BM 2023)
Deadline for paper submissions: January 6, 2023
Notification of acceptance: January 27, 2023
Camera-ready papers: February 15 , 2023
For more information regarding the workshops (topics, style sheet,
publication etc.)
please visit: http://ltc.amu.edu.pl/
Looking forward to meeting you in Poznan,
Z. Vetulani, P. Paroubek, M. Witkowska.
About this Research Topic
Abstract Submission Deadline 17 February 2023
Manuscript Submission Deadline 24 May 2023
https://www.frontiersin.org/research-topics/50171/plagiarism-detection-usin…
Natural Language Processing (NLP) is a subfield and a key technology of artificial intelligence. In recent years, many highly recognized efforts in NLP have emerged. NLP is a field where the use of Machine/Deep learning-based models in the past few years has allowed Artificial Intelligence (AI) to advance toward human levels like performances in different real-world applications. The significant advances in NLP have brought significant opportunities but also opened up new challenges for research. In this Research Topic collection, researchers and practitioners, both from academia and industry are invited to contribute with research work that presents significant originality, concepts, and methods in the field of NLP and AI applied to various areas of plagiarism detection. Furthermore, these applications have reached most languages and especially those with low and limited resources. This Research Topic will aim at gathering state-of-the-art research and development in not only NLP applications but will include new theoretical frameworks and methodologies.
This Research Topic addresses plagiarism detection. Due to the growing amount of information available on the internet, it makes it easier for someone to pass off and claim someone else's ideas as their own work without properly crediting the original source or owner. As a matter of ethics, plagiarism should be avoided. Currently, both academic and non-academic communities have become concerned about this issue. When someone plagiarises, they make an effort to pass off another person's contribution or words as their own. Furthermore, other forms of plagiarism involve taking credit for results, inventions, and mental activities produced by other people without acknowledgment. Additionally, it is also considered plagiarism to present someone else’s knowledge or idea as one’s own.
Topics of interest include but are not limited to the following:
• Architectures and systems for plagiarism detection
• External/Intrinsic plagiarism detection
• Cross-lingual plagiarism detection for low-resource languages
• Self-plagiarism or multiple submissions to different journals
• NLP-based deep learning approaches for plagiarism detection
• Short text similarity measurement
About the event
The 28th International Conference on Natural Language and Information Systems will be held at the University of Derby, United Kingdom and will be a face to face.
https://www.derby.ac.uk/events/latest-events/nldb-2023/
Since 1995, the Natural Language to Data Bases (NLDB) conference brings together researchers, industry practitioners, and potential users interested in various applications of Natural Language in the Database and Information Systems field. The term "Information Systems" has to be considered in the broader sense of Information and Communication Systems, including Big Data, Linked Data and Social Networks.
The field of Natural Language Processing (NLP) has recently experienced several exciting developments. In research, these developments have been reflected in the emergence of neural language models (Deep Learning, Word Embeddings, Transformers) and the importance of aspects such as transparency, bias and fairness, a (renewed) interest in various linguistic phenomena, such as in discourse and argumentation mining, and in new problems such as the detection of disinformation and hate speech in social media, as well of mental health disorders that increased during the recent pandemic. Regarding applications, NLP systems have evolved to the point that they now offer real-life, tangible benefits to enterprises. Many of these NLP systems are now considered a de-facto offering in business intelligence suites, such as algorithms for recommender systems and opinion mining/sentiment analysis.
It is against this backdrop of recent innovations in NLP and its applications in information systems that the 28th edition of the NLDB conference takes place. We welcome research and industrial contributions, describing novel, previously unpublished works on NLP and its applications across a plethora of topics as described in the Call for Papers.
Call for Papers
NLDB 2023 invites authors to submit papers for oral or poster presentations on unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP, as well as survey and discussion papers.
Authors should follow the Lecture Notes in Computer Science (LNCS) format and submit their manuscripts as a PDF via Easychair.
Important Dates
Full paper submission: 14 March 2023
Paper notification: 10 April 2023
Camera-ready deadline: 24 April 2023
Conference: 21 - 23 June 2023
Abstract Submission Deadline 17 February 2023
Manuscript Submission Deadline 24 May 2023
About this Research Topic:
https://www.frontiersin.org/research-topics/50171/plagiarism-detection-usin…
Natural Language Processing (NLP) is a subfield and a key technology of artificial intelligence. In recent years, many highly recognized efforts in NLP have emerged. NLP is a field where the use of Machine/Deep learning-based models in the past few years has allowed Artificial Intelligence (AI) to advance toward human levels like performances in different real-world applications. The significant advances in NLP have brought significant opportunities but also opened up new challenges for research. In this Research Topic collection, researchers and practitioners, both from academia and industry are invited to contribute with research work that presents significant originality, concepts, and methods in the field of NLP and AI applied to various areas of plagiarism detection. Furthermore, these applications have reached most languages and especially those with low and limited resources. This Research Topic will aim at gathering state-of-the-art research and development in not only NLP applications but will include new theoretical frameworks and methodologies.
This Research Topic addresses plagiarism detection. Due to the growing amount of information available on the internet, it makes it easier for someone to pass off and claim someone else's ideas as their own work without properly crediting the original source or owner. As a matter of ethics, plagiarism should be avoided. Currently, both academic and non-academic communities have become concerned about this issue. When someone plagiarises, they make an effort to pass off another person's contribution or words as their own. Furthermore, other forms of plagiarism involve taking credit for results, inventions, and mental activities produced by other people without acknowledgment. Additionally, it is also considered plagiarism to present someone else’s knowledge or idea as one’s own.
Topics of interest include but are not limited to the following:
• Architectures and systems for plagiarism detection
• External/Intrinsic plagiarism detection
• Cross-lingual plagiarism detection for low-resource languages
• Self-plagiarism or multiple submissions to different journals
• NLP-based deep learning approaches for plagiarism detection
• Short text similarity measurement
Grammarly is looking for a motivated Ph.D. student to work with our
Language Research team in the USA or Canada for three months in 2023. The
internship has flexible start dates in the summer of 2023. We seek students
who, ideally, are in the latter half of their Ph.D. program and have a
strong foundation in linguistic research and analysis, with good exposure
to natural language processing and the conceptual fundamentals of machine
learning.
Read more and apply here:
https://www.grammarly.com/jobs/engineering/analytical-linguist-intern?gh_ji…
Description:
Our team works on several challenging problems, such as writing assistance,
text generation, summarization, threaded communication, and others. As an
intern, you will work closely with your mentor and other linguists,
software and machine learning engineers, and research scientists to explore
the frontiers of language data pipelines, high-quality linguistic analysis,
and natural language processing according to a defined research agenda.
In this role, you’ll apply your knowledge and learn new skills to help
improve our tooling and analysis pipelines and writing assistance systems.
You’ll conduct research that ultimately contributes to the next generation
of communication assistance tools. You will also have the opportunity to
design and implement experiments to test ideas related to language data
management, augmentation, or analysis. These could relate to annotation
quality and efficiency, topic and metadata extrapolation, anonymization,
inclusivity enrichment, summarization, paraphrasing, sentiment and tone
analysis, register or stylistic variation, etc. You may have an opportunity
to collaborate on high-quality research papers destined for top conferences.
==
Courtney Napoles
Lead of Language Research, Grammarly
courtney.napoles(a)grammarly.com