Dear All,
We are happy to inform you that the Eleventh International Conference on
Frontiers of Intelligent Computing: Theory and Applications (FICTA-2023)
will be organized by Cardiff Metropolitan University, United Kingdom. We
invite you to participate in FICTA-2023: https://ficta.co.uk/ on 11-12
April 2023, being organized in a hybrid mode and connecting with
high-profile committee members across the globe.
Publication: All FICTA 2023 registered and presented papers will be
published in conference proceedings by Springer-Smart Innovation, Systems
and Technologies (SIST) Series (https://lnkd.in/eGDscF_X).
Topics of interest: Submissions of quality papers are expected in all areas
of research and application in intelligent computing, refer call for papers
at https://lnkd.in/eD_UmBrT.
Papers Submission: Submissions are handled through the Springer EquinOCS
using the link: https://lnkd.in/eiKgiTc4
Call for Special Session Proposals: If interested to float/organizing a
special session please visit the link and follow the necessary guidelines:
https://lnkd.in/ev9c9y7k
For any queries related to the conference you may feel free to e-mail:
FICTA2023(a)cardiffmet.ac.uk
Kindly share this information in your network to make our conference a
grand success.
--
Warm Regards,
*Sandeep Singh Sengar*,
Lecturer in Computer Science
Cluster Leader Computer Vision / Image Processing
Cardiff Metropolitan University, Cardiff, UK CF5 2YB
*-------------------------------------------------------------------------------*
*Email: SSSengar(a)cardiffmet.ac.uk <SSSengar(a)cardiffmet.ac.uk>*
*Web: **https://sites.google.com/view/sandeepsengar
<https://sites.google.com/view/sandeepsengar>*
[Apologies for cross-posting]
Dear colleagues,
We are delighted to announce that the BFM2022 corpus of Old and Middle
French (9th to 15th centuries) is now available from the web portal of
the Base de Français Médiéval at
https://txm-bfm.huma-num.fr/txm/?command=documentation&path=/BFM2022.
The Base de Français Médiéval provides free access to several corpora
(source texts and digital annotation) under a French public open data
license (https://www.etalab.gouv.fr/licence-ouverte-open-licence). Three
modes of access are supported :
• search, analysis and reading tools provided by the TXM-BFM web
portal;
• download a binary corpus file for use with TXM local application;
• download TEI XML source files from NAKALA repository:
https://nakala.fr/collection/10.34847/nkl.93ee3ts1.
The BFM portal is now hosted by the Huma-Num infrastructure which
provides a secure connection for user data.
The BFM2022 corpus includes some fifty new texts, amounting to
approximately 6,450,000 words. All the texts are formatted according to
the TEI guidelines (including the instances of direct speech),
automatically pos-tagged and lemmatized. The POS tags have been manually
verified in 8 new texts (46 total, approximately 1,000,000 words), and
the lemmatization has been verified and disambiguated in 27 texts
(aproximately 620,000 words). An original digital edition of Psautier
d’Arundel by C. Pignatelli is one of the new texts included in the corpus.
As well as BFM2022, a syntactically annotated corpus PROFITEROLE-V1-0 is
now available from the BFM web portal. Produced by the ANR funded
PROFITEROLE Project
(https://www.lattice.cnrs.fr/projets/projets-passes/projet-anr-profiterole),
it supports querying syntactic relations encoded according the Universal
Dependencies guidelines (https://universaldependencies.org).
We will appreciate any feedback on technical issues or errors in texts
you may encounter while using the BFM.
Best regards,
The BFM Team
bfm [at] ens-lyon [dot] fr
--
Alexey Lavrentev
Ingénieur de recherche
UMR 5317 IHRIM, CNRS
The *MIGR-TWIT Corpus* is a bilingual diachronic corpus of tweets created
with the aim to study the evolution of public discourse on migration in
Europe in the past 10 years.
We are pleased to announce the release of the *first two components* of the
corpus: *the **FR-R-MIGR-TWIT-2011-2022 *and the*
UK-R-MIGR-RA-TWIT-2012-2022 Corpora.*
· *FR-R-MIGR-TWIT-2011-2022 Corpus* includes all the tweets displaying
at least one occurrence of the lexical root -*migr- *(*i.e*., the
words *immigration(s),
migrant(s), immigré(s)*), posted by *16* *right and far-right French
politicians and political parties, between 2011 and 2022,* for a total
amount of 11,761 tweets and 358,491 words.
· *UK-R-MIGR-RA-TWIT-2012-2022 Corpus *includes all the tweets
displaying at least one occurrence of the words derived from the Latin
lexical root “*migr*” of *migrare (to move from one place to another) *in
addition to the keywords “*refugee*(*s*)” and “*asylum*”, posted by *12 **right
and far-right British politicians and political parties between 2012 and
2022*, for a total amount of 6,472 tweets and 174,707 words.
The whole corpus contains 18,233 tweets and 533,198 words.
The posts were automatically retrieved using the *Twitter API v2 Academic
Research*.
The whole corpus contains two CSV Zip files (tab-delimited format)
corresponding to each sub-corpus. The complete corpus is presented in two
versions:
- version1 with the tweet identifier (*data__id*) and the text of
the tweet (*data__text*) as a header (folders named
*FR-R-MIGR-TWIT-2011-2022_textonly* and
*UK-R-MIGR-RA-TWIT-2012-2022_textonly*, respectively composed of 12 and 11
Zip files of every single year);
- version2 with all tweet fields information included as a header,
such as the posting date (*data__created__at*), the username (*author__name*),
and the number of retweets (*data__public_metrics__retweet_count*),
etc., with two folders named *FR-R-MIGR-TWIT-2011-2022_meta* and
*UK-R-MIGR-RA-TWIT-2012-2022_meta*
The corpus was created by Elena Battaglia (Università della Svizzera
Italiana and Université de Lille), Guido Blandino (University of
Wolverhampton), Paola Pietrandrea and Sangwan Jeon (Université de Lille),
with the collaboration of Adelina Stojan (Université de Lille), within the
framework of the observatory OLiNDiNUM, *Observatoire LINguistique du
DIscours NUMérique* <https://olindinum.huma-num.fr/>, [Linguistic
Observatory of Digital Discourse], coordinated by Paola Pietrandrea.
The creation of the corpus was funded by Université de Lille, Projet
d'Internationalisation 2021 - Université Franco-italienne / Università
Italo Francese - Campus France (Hubert Curien Partnerships): Italie - PHC
Galilée 2018-19, Pays-Bas - PHC Van Gogh 2018-19.
The corpus is freely accessible through the platforms Ortolang
<https://www.ortolang.fr/market/corpora/migr-twit-corpus/v1> and Zenodo
<https://zenodo.org/record/7347479#.Y5ee5naZMuE>.
Elena Battaglia, Guido Blandino, Sangwan Jeon, Paola Pietrandrea
Le *Corpus MIGR-TWIT* est un corpus diachronique de tweets bilingues,
établi dans l’objectif d’étudier l’évolution du discours public sur
l’immigration en Europe au cours de ces 10 dernières années.
Nous avons le plaisir de vous annoncer la publication des *deux premières
composantes* du corpus : les *corpus FR-R-MIGR-TWIT-2011-2022* et
*UK-R-MIGR-RA-TWIT-2012-2022*.
· Le *corpus FR-R-MIGR-TWIT-2011-2022* rassemble tous les tweets
contenant au moins une occurrence du lexique dérivé de la racine lexicale -
*migr*- (*i.e*. *immigration(s), migrant(s), immigré(s)*), qui ont été
postés par *16 figures et partis politiques de la droite et de
l’extrême-droite françaises entre 2011 et 2022*, comptant un total de
11,761 tweets et 358,491 mots.
· Le *corpus UK-R-MIGR-RA-TWIT-2012-2022* rassemble tous les tweets
contenant au moins une occurrence du lexique dérivé de la racine latine “
*migr*” de *migrare* (*s’en aller d’un lieu*) en plus des mots-clés “
*refugee(s)*” et “*asylum*” (*asile*), qui ont été postés par *12 figures,
partis et institutions politiques de la droite et de l’extrême-droite
britanniques entre 2012 et 2022*, comptant un total de 6,472 tweets et
174,707 mots.
L’ensemble du corpus compte au total 18,233 tweets et 533,198 mots.
Les données ont été automatiquement récupérées à l’aide du *Twitter API v2
Academic Research*.
Le corpus complet contient deux fichiers CSV (format tabulaire de données)
correspondant à chaque sous-corpus. Le corpus complet se présente en deux
versions :
- version1 avec l’identifiant du tweet (*data__id*) et le texte du
tweet (*data__text*) comme l’entête (les fichiers nommés
*FR-R-MIGR-TWIT-2011-2022_textonly* et
*UK-R-MIGR-RA-TWIT-2012-2022_textonly*, respectivement composés de 12 et 11
fichiers CSV de chaque année) ;
- version2 avec toutes les métadonnées du tweet comme l’entête,
telles que la date de publication (*data__created__at*), le nom
d’utilisateur (*author__name*), et le nombre de retweets (
*data__public_metrics__retweet_count*), etc., avec deux fichiers
nommées *FR-R-MIGR-TWIT-2011-2022_meta
*et *UK-R-MIGR-RA-TWIT-2012-2022_meta*
Le corpus a été créé par Elena Battaglia (Università della Svizzera
Italiana et Université de Lille), Guido Blandino (University of
Wolverhampton), Paola Pietrandrea et Sangwan Jeon (Université de Lille),
avec la collaboration d’Adelina Stojan (Université de Lille), dans le cadre
du projet *OLiNDiNUM, Observatoire LINguistique du DIscours NUMérique*
<https://olindinum.huma-num.fr/>, coordonné par Paola Pietrandrea.
La création du corpus a été financée par l’Université de Lille, Projet
d’Internationalisation 2021 - l’Université Franco-italienne / Università
Italo Francese - Campus France (Partenariats Hubert Curien) : Italie - PHC
Galilée 2018-19, Pays-Bas - PHC Van Gogh 2018-19.
Le corpus est librement accessible via les plateformes Ortolang
<https://www.ortolang.fr/market/corpora/migr-twit-corpus/v1> et Zenodo
<https://zenodo.org/record/7347479#.Y5ee5naZMuE>.
Elena Battaglia, Guido Blandino, Sangwan Jeon, Paola Pietrandrea
====
SEMANTiCS - 19th International Conference on Semantic Systems
Leipzig, Germany
September 20 - 22, 2023
====
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