CALL FOR PARTICIPATION
http://www.alta.asn.au/events/sharedtask2022
The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students.
Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology.
This year's shared task is a re-visit of the 2012 task: PIBOSO Sentence Classification - 10 years later.
The goal of this task is to build automatic sentence classifiers that can map the content of biomedical abstracts into a set of pre-defined categories, which are used for Evidence-Based Medicine (EBM). EBM practitioners rely on specific criteria when judging whether a scientific article is relevant to a given question. They generally follow the PICO criterion: Population (P) (i.e., participants in a study); Intervention (I); Comparison (C) (if appropriate); and Outcome (O) (of an Intervention). Variations and extensions of this classification have been proposed, and for this task we will extend PICO by adding the classes Background (B) and Study Design (S); and including sentences that have no relevant content: Other (O). Therefore, the goal will be to classify the provided sentences according to the PIBOSO schema. Such information could be leveraged in various ways: e.g., to improve search performance; to enable structured querying with specific categories; and to aid users in more quickly making judgements against specified PICOSO criteria.
The tentative key dates are:
- Right Now - Registration and release of training and development data
- 04 Oct 2022 - Release of test data
- 11 Oct 2022 - Deadline of submission of runs
- 14 Oct 2022 - Notification of results
- 10 Nov 2022 - Deadline of submission of system description
- 15-16 Dec 2022 - Presentation of results at ALTA 2022
Details of the task and registration are available at the competition website (http://www.alta.asn.au/events/sharedtask2022).
Good luck!
Diego Molla-Aliod
--
Dr. Diego Mollá-Aliod
Senior Lecturer
School of Computing | Room 358 (Level 3), 4 Research Park Drive
Macquarie University, NSW 2109, Australia
T: +61 2 9850 9531 | F: +61 2 9850 9551
https://macquarie.zoom.us/my/diego.mollahttp://comp.mq.edu.au/~diego
I acknowledge the traditional custodians of the land on which Macquarie University stands – the Wallumattagal clan of the Dharug nation – whose cultures and customs have nurtured and continue to nurture this land since time immemorial. I pay my respects to Elders past and present.
Dear corpora community,
We are organizing the ValueEval competition [1] as part of SemEval'23.
We are looking for data suggestions or contributions to diversify our
training and test datasets.
The task of ValueEval is to automatically identify human value
categories (e.g., "concern," "tradition," or "self-directed thinking")
from which a statement draws persuasive power. For example, the
statement "Nuclear weapons have the potential to cause massive
destruction" can draw on social security values to appeal to the
statement "Nuclear weapons should be abolished." For more details, see
our paper and the existing dataset [2]. For more details, you can check
the following video [3].
Specifically, we are looking for data that fulfill these criteria:
- The data consists of pairs of two causally related short statements
(1 to 3 sentences each):
- the first statement of the pair must provide one or more reasons
- the second statement of the pair provides context for the first
statement: the first statement must either be supporting or attacking
the second statement
- The data contains between 50 and 1000 such pairs
- The statements are in English (possibly translated from a different
language) and grammatically sound
The suitable datasets we know (mainly from the computational
argumentation community) focus on US or Western topics and contain
debate-style statements. We are thus specifically looking for datasets
that focus on issues from other parts of the world or other genres. We
are grateful for pointers to resources we could use (e.g., specific
websites) or to existing corpora.
After assessing suitability per the criteria outlined above, we will
take care of annotation. We will write a paper on the final dataset and
invite each data contributor to join as a co-author.
If you are interested in becoming a contributor, please respond to this
mail by August 31, 2022.
Yours sincerely,
Milad, Johannes, Henning, and Benno
[1] https://valueeval.webis.de
[2] Kiesel, Johannes, Milad Alshomary, Nicolas Handke, Xiaoni Cai,
Henning Wachsmuth, and Benno Stein. "Identifying the Human Values
behind Arguments." In Proceedings of the 60th Annual Meeting of the
Association for Computational Linguistics (Volume 1: Long Papers), pp.
4459-4471. 2022. https://webis.de/publications.html#kiesel_2022b
[3] https://www.youtube.com/watch?v=ZAQ4LELCCY4&ab_channel=webis
FINAL CFP: ClinSpEn sub-track (Biomedical WMT Task, EMNLP 2022)
Machine Translation of Clinical cases, ontologies & EHR-derived medical
entities: Spanish - English
https://temu.bsc.es/clinspen/
<https://mailtrack.io/trace/link/05be2aaa5efff8fa06101d4d9bd3f38e6bfc46f8?ur…>
Important updates: Additional track information on CodaLab & team
submission instructions are now available.!
The ClinSpEn track of the Biomedical WMT 2022 shared task tries to address
a pressing need and emerging research topic related to the development and
exploitation of multilingual clinical NLP and text mining applications.
Recent advances in neural machine translation approaches (MT) adapted to
specific domains and text genres have resulted in promising results that
facilitate processing of healthcare and clinical data beyond language
silos.
The ClinSpEn sub-track tries to promote the use of advanced machine
translation technologies applied to three high impact healthcare
application scenarios:
(1) automatic translation of clinical case documents of importance to
examine how MT could be further applied to cope with clinical records
(2) automatic translation of clinical terms and entity mentions extracted
directly from medical records and literature to improve multilingual
semantic annotation technologies
(3) automatic translation of ontologies and controlled vocabulary concepts
of uttermost importance for multilingual data and concept normalization
These three scenarios will be addressed by three specific benchmark data
collections used for evaluation purposes by the ClinSpEn biomedical WMT
track:
ClinSpEn-CC (Clinical Cases): EN>ES translation of clinical case documents.
ClinSpEn-CT (Clinical Terms): ES>EN translation of clinical terms and
entity mentions extracted from records and literature.
ClinSpEn-OC (Ontology Concepts): EN>ES translation of highly used open
clinical controlled vocabularies and ontology concepts.
Important links:
-
ClinSpEn web: https://temu.bsc.es/clinspen/
<https://mailtrack.io/trace/link/27848d561aa67f680f82a1a5e9615f53b89f792b?ur…>
-
Biomedical WMT web:
https://statmt.org/wmt22/biomedical-translation-task.html
<https://mailtrack.io/trace/link/a206f362a3cb3f484202d46006eeb3d48099f0eb?ur…>
-
WMT2022: https://statmt.org/wmt22/
<https://mailtrack.io/trace/link/ebb366cd939698a86e246d66cac5a0f452827b5b?ur…>
-
EMNLP conference: https://2022.emnlp.org/
<https://mailtrack.io/trace/link/60c9dac76828def2aab4d9a43e06b9e15fcf81ac?ur…>
-
Unified Dataset: https://doi.org/10.5281/zenodo.6497350
<https://mailtrack.io/trace/link/e35b0ed7dad1f2a56ed6ea55bc72d5ca0647c32a?ur…>
-
CodaLab: https://codalab.lisn.upsaclay.fr/competitions/6696
<https://mailtrack.io/trace/link/7dca1bd7d5495ee836b1c94740619737703c54d2?ur…>
-
Team Registration (mandatory): https://temu.bsc.es/clinspen/registration/
<https://mailtrack.io/trace/link/204a99701995335a8becc4befbfc6888e57bc086?ur…>
For the ClinSpEn track Gold Standard manual translations generated by
professional medical translators have been generated to evaluate
participating teams. The primary evaluation metric to be used for this
track will be SacreBLEU.
Participants will also have access to a larger background collection to
promote scalability and robustness assessment of machine translation
technology.
Updated schedule:
-
Participant Predictions Due: August 30th, 2022 (UPDATED EXTENSION!)
-
Paper Submission: September 7th, 2022
-
Acceptance notification: October 9th, 2022
-
Camera-ready version: October 16th, 2022
-
WMT workshop at EMNLP: December 7th and 8th, 2022
Publications and workshop
Participating teams will be invited to contribute a systems description
paper for the WMT 2022 Working Notes proceedings. This workshop will be
part of the prestigious EMNLP 2022 conference. More information on the
paper’s specifications, formatting guidelines and review process at:
https://statmt.org/wmt22/index.html
<https://mailtrack.io/trace/link/1b9a537906e7b6f6e152000b4465dbc0e881a636?ur…>
.
Biomedical WMT Organizers
-
Rachel Bawden (University of Edinburgh, UK)
-
Giorgio Maria Di Nunzio (University of Padua, Italy)
-
Darryl Johan Estrada (Barcelona Supercomputing Center, Spain)
-
Eulàlia Farré-Maduell (Barcelona Supercomputing Center, Spain)
-
Cristian Grozea (Fraunhofer Institute, Germany)
-
Antonio Jimeno Yepes (University of Melbourne, Australia)
-
Salvador Lima-López (Barcelona Supercomputing Center, Spain)
-
Martin Krallinger (Barcelona Supercomputing Center, Spain)
-
Aurélie Névéol (Université Paris Saclay, CNRS, LISN, France)
-
Mariana Neves (German Federal Institute for Risk Assessment, Germany)
-
Roland Roller (DFKI, Germany)
-
Amy Siu (Beuth University of Applied Sciences, Germany)
-
Philippe Thomas (DFKI, Germany)
-
Federica Vezzani (University of Padua, Italy)
-
Maika Vicente Navarro, Maika Spanish Translator, Melbourne, Australia
-
Dina Wiemann (Novartis, Switzerland)
-
Lana Yeganova (NCBI/NLM/NIH, USA)
Darryl Estrada
Full Stack - Web Developer
* Text Mining Unit | Barcelona Supercomputing Center*
Dear colleagues,
we have a number of open jobs in various NLP and AI projects (OpenGPT-X,
NFDI4DataScience, DataBri-X) at DFKI in Berlin:
1/5 OpenGPT-X: Researcher (m/f/d) – NLP, ML, language models and language
modelling –
https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0language-models-4…
2/5 OpenGPT-X: Researcher or software engineer (m/f/d) – Gaia-X, NLP and
Language Technology infrastructure (especially European Language Grid) –
https://jobs.dfki.de/ausschreibung/researcher-m-w-d-oder-softwareengineer-m…
3/5 and 4/5 NFDI4DataScience and AI: Researcher (m/f/d) – NLP, knowledge
graphs, scholarly information extraction, research data infrastructure –
https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0nfdi4datascience-…
5/5 DataBri-X: Researcher (m/f/d) – Language Technology, NLP and Data –
https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0language-and-data…
The application deadline for all vacancies is 26 August (this week Friday).
Please circulate this message to any colleagues or friends who could be
interested in one of the roles. Many thanks! In case of questions, I'm
happy to help.
Best regards,
Georg
--
*Prof. Dr. Georg Rehm <http://georg-re.hm/>*
Principal Researcher and Research Fellow
[image: DFKI] <http://www.dfki.de/>
DFKI GmbH <http://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany
Phone: +49 30 23895-1833
georg.rehm(a)dfki.de
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern
Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer
Vorsitzender des Aufsichtsrats: Dr. Gabriël Clemens
Amtsgericht Kaiserslautern, HRB 2313
The Joint Artificial Intelligence Institute at Bielefeld and Paderborn
University has open positions in a new project on the "SustAInable
Life-cycle of Intelligent Socio-Technical Systems”: SAIL
(jaii.eu/sail/). The project addresses fundamental research in
sustainable AI, its implications from the perspective of social
sciences, linguistics and the humanities, and the specific application
domains industry 4.0 and intelligent healthcare.
We are looking for a junior research group leader in Computational
Linguistics:
- jaii.eu/sail/#r1.ling.jrg
We have 3 full-time PhD positions in Computational Linguistics, NLP and
Deep Learning:
- Individualization of language models and language moderation
(jaii.eu/sail/#r1.1)
- Longitudinal analysis of change and variety in natural language
data (jaii.eu/sail/#r1.ling)
- Label-efficient learning from natural language supervision
(jaii.eu/sail/#r3.6)
We look forward to your applications!
--
Prof. Dr. Sina Zarrieß
Computational Linguistics
https://sinazarriess.github.io/
University of Bielefeld
Universitätsstr. 25
33615 Bielefeld, Germany
+49 521 106-2534
Start date: Early 2023 (flexible)
Closing date: 4 September 2022
Duration: Up to 18 months
Applications are invited for a postdoctoral research post at Cardiff University’s School of Computer Science & Informatics in the context of a UKRI Future Leaders Fellowship led by Jose Camacho Collados. The project is titled “Unsupervised background knowledge for multilingual language understanding”. The project largely deals with language understanding, with a focus on improving Natural Language Processing (NLP) models as to be more interpretable, capture relational and commonsense knowledge, and enhance multilinguality.
The successful candidate will be integrated in the Cardiff NLP Group<https://cardiffnlp.github.io/post/> of Cardiff University.
For overseas applicants, the successful candidate will be eligible for a Global Talent Visa.
More information:
For instructions on how to apply and more information, please go to the following website: https://krb-sjobs.brassring.com/TGnewUI/Search/Home/HomeWithPreLoad?partner…
For more details about the position, please contact Jose Camacho Collados (camachocolladosj(a)cardiff.ac.uk).
--
Jose Camacho Collados
http://www.josecamachocollados.com<http://www.josecamachocollados.com/>
***** 2nd Call for Abstracts
***** NARNiHS 2023
***** North American Research Network in Historical Sociolinguistics
***** Fifth Annual Meeting
Despite the recent relaxation of global pandemic travel policies, travel concerns remain for many communities as of the summer of 2022. In light of these concerns, and in response to the positive feedback we have received concerning our recent all-online events, our NARNiHS 2023 Annual Meeting will once again be taking place as a **free, entirely online event**. This presents a great opportunity for scholars in historical sociolinguistics from all over the world to participate as presenters and/or attendees without the limitations imposed by international travel. We encourage our fellow historical sociolinguists and scholars from related fields from our global scholarly community (in addition to North America) to join us online for our Fifth Annual Meeting.
==> Abstract submission deadline: Monday, 19 September 2022, 11:59 PM US Eastern Time.
Please see our call for abstracts below and send us your latest work in historical sociolinguistics!
----- Call for Abstracts -----.
The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its Fifth Annual Meeting (NARNiHS 2023), to take place Wednesday, January 4 - Sunday, January 8, 2023.
Since NARNiHS is a Sister Society of the Linguistic Society of America (LSA), NARNiHS 2023 will partially overlap with the LSA 2023 Annual Meeting. The NARNiHS 2023 Annual Meeting, however, will be organized independently from the LSA Annual Meeting.
==> Deadline for receipt of abstracts: Monday, 19 September 2022, 11:59 PM US Eastern Time.
* Late abstracts will not be considered *.
NARNiHS welcomes abstracts in all areas of historical sociolinguistics, which is understood as the application/development of sociolinguistic theories, models, and methods for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, and methodologies easily find their place within the field, and we encourage submission of abstracts that reflect this broad scope.
Abstracts will be accepted for 20-minute presentations to be delivered "live" through an online video-conferencing platform.
*** Abstracts will be evaluated on the following criteria ***.
- explicit discussion of which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued;
- sufficient (if brief) presentation of data sources and examples to allow reviewers a clear understanding of the scope and claims of the research;
- clear articulation of how the research advances knowledge in the field of historical sociolinguistics.
Abstracts should also be anonymized to allow for blind peer review. Failure to adhere to these criteria will increase the likelihood of non-acceptance.
*** General Requirements ***.
1) Abstracts must be submitted electronically, using the following link: http://linguistlist.org/easyabs/5THnarnihs2023 .
2) Authors may submit a maximum of two abstracts: one single-author abstract and one co-authored abstract.
3) After an abstract has been submitted, no changes of author, title, or wording of the abstract, other than those due to typographical errors, are permitted. If accepted, authors will be contacted for a final version for the abstract booklet.
4) Papers must be delivered as projected in the abstract or represent bona fide developments of the same research.
5) Authors are expected to attend the conference and present their own papers.
6) Presentations will be delivered via a video-conferencing platform, most likely Zoom. Technical details and instructions regarding the platform for our NARNiHS Annual Meeting will be sent to authors in due time.
7) After acceptance, authors will be given an option to have their live presentation recorded during the meeting and archived for future online viewing.
*** Abstract Format Guidelines ***.
1) Abstracts must be submitted in PDF format.
2) Abstracts must fit on one standard 8.5x11 inch page, with margins no smaller than 1 inch and a font style and size no smaller than Times New Roman 12 point. All additional content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed.
3) Anonymize your abstract. We realize that sometimes it is not possible to attain complete anonymity, but there is a difference between "inability to anonymize completely" (due to the nature of the research) and "careless non-anonymizing" (for example: "In Jones 2021, I describe..."). In addition, be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on "File", then "Properties", removing your name if it appears in the "Author" line of the "Description" tab, and re-saving before submitting it). Please be aware that abstract file names might not be automatically anonymized by the system; do not use your name (e.g. Smith_Abstract.pdf) when saving your abstract in PDF format, rather, use non-identifying information (e.g. HistSoc4Lyfe_NARNiHS.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible (whether in the text of the abstract or in the metadata of the digital file) risk being rejected.
Contact us at NARNiHistSoc(a)gmail.com with any questions.
*** Apologies for cross-posting ***
++ CALL FOR WORKSHOP PROPOSALS ++
****************************************************************************
45th European Conference on Information Retrieval
April 2nd – 6th April 2023 – Dublin, Ireland
Website: https://ecir2023.org/
****************************************************************************
++ Important Dates ++
- Submission deadline: September 19th, 2022
- Acceptance Notification Date: October 9th, 2022
- Workshops day: April 2nd, 2023
++ Overview ++
ECIR 2023 workshops provide a platform for presenting novel ideas and research results in emerging areas in IR in a more focused and interactive way than the conference itself. Workshops can be either a half-day (3.30 hours plus breaks) or a full day (7 hours plus breaks) and are to be onsite. At least one organizer is expected to attend the workshop.
++ List of Topics ++
ECIR 2023 encourages the submission of workshops on the theory, experimentation, and practice of retrieval, representation, management, and usage of textual, visual, audio, and multi-modal information, but proposals aligned with other topics of IR (namely those identified in the general call for papers) are highly welcome as well.
Relevant topics include, but are not limited to:
* User aspects, including information interaction, contextualisation, personalisation, simulation, characterisation, and behaviours.
* System and foundational aspects, including retrieval models and architectures, content analysis and classification, recommendation algorithms, query processing and ranking, efficiency and scalability.
* Machine learning, deep learning, neural IR, natural language processing, as applied to textual, visual, audio, and multi-modal information.
* Applications such as web search, recommender systems, web and social media apps, domain-specific search, enterprise search, novel interfaces to search tools, intelligent search, academic search, and conversational agents.
* Evaluation research, including new measures and novel methods for measuring and evaluating systems, datasets, users, and/or applications.
* Cross-disciplinary workshops, including IR and other domains such as NLP, data science, etc., are also particularly welcome.
++ Submission Guidelines ++
Workshop proposals should contain the following information:
* Title and abstract of the workshop;
* Motivation and relevance to ECIR;
* Workshop goals/objectives and overall vision, coupled with desired outcomes;
* Format and Structure, in particular duration of the workshop (full-day or half-day workshop); mention to the type of papers (e.g., full papers, demo papers, negative papers, etc); type of presentation (e.g., oral; poster, etc); and proceedings (e.g., CEUR; Special Issue, etc); planned activities, the tentative schedule of events etc.; resources needed to deliver the workshop (e.g., poster boards, etc);
* Intended audience, including number of expected participants and how they will be selected/invited;
* List of organisers with a brief bio of each with respect to the content of the workshop;
* Names of potential programme committee members, invited speakers; etc
* Indicate if the workshop is related to or follows on from another workshop; if so, please, identify which conference it was previously held at, the past attendance and outcomes, and why another workshop is needed;
* Any other relevant information to support your proposal.
Workshop proposals should be prepared using Springer proceedings templates to be found on Springer webpage (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…<https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…)>), with a maximum length of 8 pages. All proposals should be submitted electronically through the conference submission system (https://easychair.org/conferences/?conf=ecir23) and must be in English. Workshop proposals will be reviewed by the ECIR 2023 workshop committee based on the quality of their proposal, covered topics, relationship to ECIR and likelihood to attract participants. Final decisions will be made by the ECIR workshop co-chairs.
++ Workshop Chairs ++
Ricardo Campos, Polytechnic Institute of Tomar and INESC TEC, Portugal
Gianmaria Silvello, University of Padua, Italy
++ Contacts ++
For further information, please contact the ECIR 2023 Workshop chairs by email to ecir2023-workshop(a)easychair.org<mailto:ecir2023-workshop@easychair.org>
CALL FOR PAPERS
The Northern European Journal of Language Technology (NEJLT) invites
submissions of excellent research papers and letters on language
technology. NEJLT is a global journal that publishes peer-reviewed language
technology and computational linguistics research on all languages, indexed
in the ACL Anthology.
https://www.nejlt.org
What's special about NEJLT?
* Re-use reviews: We welcome revised manuscripts submitted with prior
reviews to a fast-track review process.
* Customised review: Specify a "type" for your paper at submission, that
determines how your paper is reviewed
* "Letter" format submission: Comments, positions, letters, or small
experiments also welcomed as very short articles
* Free to submit, free to publish, free to read
### SUBMISSION TYPES
NEJLT accepts (1) full articles, and (2) letters.
(1) Full articles are to be given a subtype. The types available at NEJLT
are:
* Computationally-aided linguistic analysis
* NLP engineering experiment paper
* Reproduction paper
* Resource paper
* Position paper
* Survey Paper
Other works are welcome - contact the editor.
(2) NEJLT Letters on computational linguistics and natural language
processing should be around 1000 words long, and are given a special,
dedicated review process.
More information about submission types and information for authors is at:
https://www.nejlt.org/authorinfo/
### SCOPE
NEJLT invites manuscripts from anywhere in the world that present excellent
research in the field of language technology and natural language
processing. Work on all languages is welcome.
* Language focus:
* Global; no specific focus. Research on all and any languages is invited.
* Topics of interest: including but not limited to
* Cognitive Modeling and Psycholinguistics
* Computational Social Science and Social Media
* Dialogue and Interactive Systems
* Discourse and Pragmatics
* Ethics and NLP
* Generation of language
* Green NLP
* Information Extraction
* Information Retrieval and Text Mining
* Interpretability and Analysis of Models for NLP
* Language Grounding to Vision, Robotics and Beyond
* Theory and Formalism in NLP (Linguistic and Mathematical)
* Machine Learning for NLP
* Machine Translation
* NLP Applications
* Phonology, Morphology and Word Segmentation
* Question Answering
* Resources and Evaluation
* Semantics: Lexical
* Semantics: Sentence Level
* Semantics: Textual Inference and Other Areas of Semantics
* Sentiment Analysis, Stylistic Analysis, and Argument Mining
* Speech and Multimodality
* Summarization
* Syntax: Tagging, Chunking and Parsing
* Works focusing on Northern European languages are encouraged, with the
same requirements of excellence
The editor-in-chief of NEJLT is appointed by the North European Association
for Language Technology. This geographical connection gives the journal its
name, though the journal itself does not have a Northern European language
focus.
More on NEJLT's scope is at: https://www.nejlt.org/
### REVIEWING
NEJLT is committed to rapid and fair reviewing. NEJLT strives to preserve
anonymity throughout the review process. The journal also invites revised
resubmissions from select events, including the reviews from those events,
including ACL, EMNLP, NAACL, EACL, AACL, and NeurIPS. For details, see:
https://www.nejlt.org/review/
### ABOUT THE JOURNAL
NEJLT publishes in the field of language technology, i.e. Natural Language
Processing, Computational Linguistics, and related topics. Research focused
on any natural language is invited.
NEJLT invites both journal articles and academic letters, and has a
multi-iteration reviewing process, where revisions are a possibility.
The reviewing philosophy of the journal is to minimise reviewing biases,
and also to provide constructive, helpful feedback during the review
process.
NEJLT is a global journal with global focus. The journal’s publisher is
located in Northern Europe, hence its name, and supports the journal
without charge, enabling open access publication with no costs. NEJLT is
indexed by many publication indexing services, and ranked by many national
bibliographic ranking systems.
NEJLT accepts submissions continuously all year round.
More at: https://www.nejlt.org/about/
### ORGANIZATION
* Editor-in-Chief:
* Leon Derczynski, ITU Copenhagen; ld(a)itu.dk
* Editorial board:
* Isabelle Augenstein, University of Copenhagen
* Nikolaos Aletras, University of Sheffield
* Rachel Bawden, INRIA, Paris
* Emily M. Bender, University of Washington
* Miryam de Lhoneux, University of Copenhagen
* Nicoletta Calzolari, Institute for Computational Linguistics, NRC Italy
* Manuel Ciosici, University of Southern California ISI
* Yang Feng, Chinese Academy of Sciences
* Eva Hajičová, Charles University
* Marco Kuhlmann, Linköping University
* Yuji Matsumoto, NAIST/Riken AIP
* Joakim Nivre, Uppsala University
* Ellie Pavlick, Brown University
* Verena Rieser, Heriot Watt University
* Vered Shwartz, Allen Institute for Artificial Intelligence (AI2)
* Thamar Solorio, University of Houston
* Mark Steedman, University of Edinburgh
* Jörg Tiedemann, University of Helsinki
* Bonnie Webber, Universty of Edinburgh
NEJLT's editorial team is detailed at: https://www.nejlt.org/team/
### PUBLICATION AND OPEN ACCESS
The ACL Anthology has accepted future inclusion of articles published in
NEJLT.
NEJLT is full open access. This means that accepted papers may be
downloaded directly from the web and will not be charged for. There are
also no fees for submitting or for publishing. There are no plans to
collect fees at any point in the future at any part of the NEJLT process.
Papers are published under the CC-BY 4.0 license. This means that NEJLT is
an Open Access Gold journal.
The journal is published by Linköping University press. The editor-in-chief
of NEJLT is appointed by the North European Association for Language
Technology. This geographical connection gives the journal its name, though
the journal itself does not have a Northern European language focus.
More details on NEJLT policies at: https://www.nejlt.org/policies/
### CONTACT
Please, see www.nejlt.org for further information. We look forward to
seeing your manuscripts.
> [Apologies for cross-posting]
>
> -> Last Weekend to Submit Your Paper to SIMBig 2022
>
> =================================================================
> LAST WEEKEND of CALL FOR PAPERS - SIMBig 2022
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>
> SIMBig 2022 - 9th International Conference on Information Management and Big Data
> Where: Universidad Nacional Mayor de San Marcos, Lima, PERU
> When: November 16 - 18, 2022
> Website: http://simbig.org/SIMBig2022/ <http://simbig.org/SIMBig2022/>
>
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>
> OVERVIEW
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>
> SIMBig 2022 seeks to present new methods of Artificial Intelligence (AI), Data Science, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data.
>
>
> KEYNOTE SPEAKERS
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>
> Leman Akoglu, Carnegie Mellon University, USA
> Jiang Bian, University of Florida, USA
> Rich Caruana, Microsoft, USA
> Dilek Hakkani-Tur, Amazon Alexa AI, USA
> Monica Lam, Stanford University, USA
> Wang-Chiew Tan, Facebook AI, USA
> Andrew Tomkins, Google, USA
> Bin Yu, University of California, Berkeley, USA
>
> IMPORTANT DATES
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>
> August 05, 2022 August 19, 2022 --> Papers submission deadline
> September 09, 2022 September 17, 2022 ---> Notification of acceptance
> October 07, 2022 --> Camera-ready versions
> November 16 - 18, 2022 --> Conference held in Lima, Peru
>
> PUBLICATION AND TRAVEL AWARDS
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>
> All accepted papers of SIMBig 2022 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899>.
>
>
> The best 8-10 papers of SIMBig 2022 (tracks including) will be selected to submit an extension to be published with the Springer SN Computer Science Journal. <https://www.springer.com/journal/42979>
> Thanks to the support of the North American Chapter of the Association for Computational Linguistics (NAACL) <http://naacl.org/>, SIMBig 2022 will offer 4 student travel awards for the best papers.
>
>
>
> TOPICS OF INTEREST
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>
> SIMBig 2022 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas:
>
> Artificial Intelligence
> Data Science
> Machine Learning
> Natural Language Processing
> Semantic Web
> Healthcare Informatics
> Biomedical Informatics
> Data Privacy and Security
> Information Retrieval
> Ontologies and Knowledge Representation
> Social Networks and Social Web
> Information Visualization
> OLAP and Business intelligence
> Data-driven Software Engineering
>
> SPECIAL TRACKS
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>
> SIMBig 2022 proposes three special tracks in addition to the main conference:
>
> ANLP <https://simbig.org/SIMBig2022/en/anlp.html> - Applied Natural Language Processing
> DISE <https://simbig.org/SIMBig2022/en/dise.html> - Data-drIven Software Engineering
> SNMAM <https://simbig.org/SIMBig2022/en/snmam.html> - Social Network and Media Analysis and Mining
>
> CONTACT
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>
> SIMBig 2022 General Chairs
>
> Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>)
> Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista(a)pucp.pe <mailto:halatrista@pucp.pe>)
>