Associate professorship or tenure-track assistant professorship in Computational Linguistics and Natural Language Processing
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The Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen (UCPH), Denmark, invites applications for an associate professorship or a tenure-track assistant professorship in computational linguistics and natural language processing (NLP) to be filled by December 1st, 2022, or as soon as possible thereafter.
The successful candidate will be attached to the Centre for Language Technology (CST), see Center for Sprogteknologi - Københavns Universitet (ku.dk)<javascript:void(0)>. CST conducts research in different areas of language technology, such as computational linguistics and natural language processing (NLP), language technology resources and the infrastructure around them, multimodal communication, computational cognitive modelling, digital humanities, and machine learning applied to NLP. The Centre has a strong international profile, at the same time as pursuing the development of language technology methods and resources for the Danish language. CST has considerable experience managing international research projects, frequently attracts visiting researchers and has organised major conferences in the field. Together with the Department of Computer Science of the University of Copenhagen, it offers an international MSc programme in IT and Cognition. The programme, which currently admits about 30 students a year, offers a range of courses in the areas of NLP, computer science, and cognitive
Job requirements and content
The candidate must demonstrate:
· A research record in the field of computational linguistics and NLP
· Knowledge of and experience with machine learning and deep learning methods applied to the study of language
· Programming skills, preferably using Python
· Relevant teaching experience at university level.
The following qualifications constitute additional strengths:
· A demonstrated interest in linguistics
· Interest in and experience with human language technology applications
The successful candidate will engage in cutting-edge research in computational linguistics and NLP in collaboration with the CST researchers and is expected to contribute actively to the Centre's research environment. The candidate will also be expected to strengthen the Centre's project portfolio by applying for external funding for research and development.
Furthermore, the candidate will contribute with teaching to the MSc in IT and Cognition. More specifically, the candidate is expected to contribute to the Language Processing courses and to supervise students for thesis and electives projects within computational linguistics and NLP.
For details about the qualification requirements and the application procedure: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=15…
For further information about the position, please contact Head of Department, Anne Jensen, e-mail: annejensen(a)hum.ku.dk<javascript:void(0)> or Deputy Head of Department for research Bolette S. Pedersen, bspedersen(a)hum.ku.dk<javascript:void(0)>.
The closing date for applications is 1 August 2022 at 23:59 [*CEST/CET]
·
Costanza Navarretta
PhD, senior researcher/assoc.professor
Centre for Language Technology
Department of Nordic Studies and Linguistics
University of Copenhagen
DIR +45 35329079
costanza(a)hum.ku.dk<mailto:costanza@hum.ku.dk>
Dear all,
It is time to elect SIGSEM officers for the next three-year term.
Candidates will be nominated via the SIGSEM mailing list [1].
If you would like to take part in the nomination and election process, make
sure to be registered in the SIGSEM mailing list with the email address you
check regularly.
Best,
Raffaella
On Behalf of SIGSEM Board
[1] http://www.sigsem.org/wiki/index.php?title=Join_SIGSEM
==============================================================
University of Trento
CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN),
DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN)
Tel. +39 0464 80 8704 (CIMeC)
http://disi.unitn.it/~bernardi/
==============================================================
***2nd SummDial: A SemDial 2022 <https://semdial2022.github.io/#> Special
Session on Summarization of Dialogues and Multi-Party Meetings***
***Website: https://elitr.github.io/automatic-minuting/summdial-2022.html
***
***Submission Deadline: August 1, 2022 ***
***Event Date: August 24, 2022 ***
With a sizeable working population of the world going virtual, resulting in
information overload from multiple online meetings, imagine how convenient
it would be to just hover over past calendar invites and get concise
summaries of the meeting proceedings? How about automatically minuting a
multimodal multi-party meeting? Are minutes and multi-party dialogue
summaries the same? We believe Automatic Minuting is challenging. There are
possibly no agreed-upon guidelines for taking minutes, and people adopt
different styles to record meeting minutes. The minutes also depend on the
meeting's category, the intended audience, and the goal or objective of the
meeting. We hosted the First SummDial Special Session at SIGDial 2021.
Several significant problems and challenges in multi-party dialogue and
meeting summarization came from the discussions in the first SummDial,
which we documented in our event report
<https://dl.acm.org/doi/10.1145/3527546.3527561>.
Since we witnessed enthusiastic participation of the dialogue and
summarization community in the first SummDial special session
<https://elitr.github.io/automatic-minuting/summdial.html> (
https://elitr.github.io/automatic-minuting/summdial.html), we are hosting
the Second SummDial special session at SemDial 2022
<https://semdial2022.github.io/#> (https://semdial2022.github.io/#). This
year, we intend to continue discussing these challenges and lessons learned
from the previous SummDial. Our goal for this special session would be to
stimulate intense discussions around this topic and set the tone for
further interest, research, and collaboration in both Speech and Natural
Language Processing communities. Our topics of interest are Dialogue
Summarization, including but not limited to Meeting Summarization, Chat
Summarization, Email Threads Summarization, Customer Service Summarization,
Medical Dialogue Summarziation, and Multi-modal Dialogue Summarization. Our
shared task on Automatic Minuting (AutoMin) at Interspeech 2021 was another
community effort in this direction. Our shared task on Automatic Minuting
(AutoMin) <https://elitr.github.io/automatic-minuting/> at Interspeech 2021
<https://www.interspeech2021.org/> was another community effort in this
direction.
***Call for papers***
We invite regular and work-in-progress papers that report:
-
Current research in multi-party dialogue summarization for summarizing
meetings, spoken dialogue, using speech, text, or multi-modal data (audio,
video),
-
Challenges in dialogue summarization evaluation (manual + automatic),
-
New methods and metrics for dialogue summarization evaluation,
-
Relevant corpus collection, pre-processing, development, and ethical
issues involved,
-
Compare and contrast speech-specific systems to systems imported from
text summarization,
-
Tools for meeting transcript generation and automatic summarization,
-
Topic detection and span identification in meeting transcripts for
multi-topic summarization,
-
Position papers to reflect on the current state of the art in this
topic, to take stock of where we have been, where we are, where we are
going and where we should go.
Researchers may choose to submit:
-
***Long papers*** Authors should submit an anonymous paper of at most 8
pages of content (up to 2 additional pages are allowed for references).
-
***Short papers*** Authors should submit a non-anonymized paper of at
most 2 pages of content (up to 1 additional page allowed for references).
Submissions to this track can be non-archival on request.
-
***Position Papers*** Including extended abstracts, work-in-progress,
and late-breaking papers.
***Submission Link***
https://easychair.org/my/conference?conf=summdial2022
Submissions should follow the ACL format. Papers that have been or will be
submitted to other meetings or publications must provide this information
using a footnote on the title page of the submissions. SummDial 2022 cannot
accept work for a publication that will be (or has been) published
elsewhere.
***Special Session Program***
The special session would consist of a keynote, a panel, oral and/or poster
paper presentations.
***Organizers***
-
Tirthankar Ghosal <https://elitr.eu/tirthankar-ghosal/>, Institute of
Formal and Applied Linguistics, Charles University, Czech Republic
-
Muskaan Singh, IDIAP, Switzerland
-
Xinnou Xu, University of Edinburgh, UK
- Ondřej Bojar <https://ufal.mff.cuni.cz/ondrej-bojar>, Institute of
Formal and Applied Linguistics, Charles University, Czech Republic
--
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Tirthankar Ghosal
Researcher at UFAL, Charles University, CZ
https://member.acm.org/~tghosal
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Dear colleagues,
We are delighted to invite you to our public Workshop on Pronouns and Machine Translation, which will be held on-line on 19 August 2022. The workshop features a series of lectures on recent work related to understanding, modelling and evaluating pronouns and other discourse-level phenomena in neural machine translation and a panel discussion. Here is the link to the workshop: https://christianhardmeier.rax.ch/workshop/pronouns-and-mt-2022/
**Registration**
Registration is free. Please sign up with the following link:
https://uu-se.zoom.us/meeting/register/u50rd-qgrjoiGtK8YvlWZ1hecbzHsxp9oBRa
**Draft Schedule** (Titles and abstracts will be available around the 10th August.)
Time (UTC+2) Speaker
11:00-11:45 Sheila Castilho, ADAPT Centre, Dublin City University
11:45-12:30 Deyi Xiong, Tianjin University
12:30-13:00 Christian Hardmeier, Uppsala University/IT University of Copenhagen
13:00-13:30 Prathyusha Jwalapuram, Nanyang Technological University
13:30-14:00 Break
14:00-14:30 Panel discussion
14:30-15:00 Gongbo Tang, Uppsala University
15:00-15:30 Biao Zhang, University of Edinburgh
15:30-16:00 Kayo Yin, DeepMind/UC Berkeley
Best Regards,
Christian Hardmeier and Gongbo Tang
När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/
E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy
[apologies for cross-posting]
Dear all,
We are offering a fully funded PhD position at the crossroads between
Natural Language Processing and Information Theory. The proposed title
is "Statistical analyses of lexical distributions with an application to
anomaly detection in natural texts", and the thesis will be jointly
supervised by:
- François Yvon (LISN, CNRS),
- Pablo Piantanida (ILLS, CNRS - University of Paris-Saclay)
Application deadline: July 14th, 2022
The thesis will be a collaboration between LISN (Laboratoire
Interdisciplinaire des Sciences du Numérique) of Université Paris-Saclay
and the ILLS (International Laboratory on Learning Systems) of McGill
University jointly with ETS Montreal and MILA (Institut québécois
d'intelligence artificielle) in Canada. Further information are
available on the respective web sites:
- LISN: https://www.lisn.upsaclay.fr/
- ILLS:
https://www.mcgill.ca/channels/fr/channels/news/un-laboratoire-internationa…
Applications should be submitted only via this link, where more
information about the position is available:
https://emploi.cnrs.fr/Gestion/Offre/Default.aspx?Ref=UMR9015-FRAYVO-009
If you are interested, please submit your application including the
following elements:
• Detailed CV,
• Letter of motivation,
• Details of transcripts (especially M1 and M2),
• Elements of bibliography or personal achievements related to a
research activity (e.g. master project, research internship subject, etc.),
• 2 recommendation letters
François Yvon and Pablo Piantanida
---
F. Yvon
LISN/CNRS
01 69 15 82 42
rue John Von Neumann
Campus Universitaire d'Orsay - Bâtiment 508
91 405 Orsay Cédex
http://perso.limsi.fr/yvon
The Data Science Chair at JMU Würzburg [1] as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning.
Both positions are bound to a project, with an initial duration of two years with the possibility of further extension. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the projects.
The first project is focused on the development and application of methods to enrich live chats of typical stream platforms like Twitch.tv with links to relevant information: you will work with industry partners to analyse the current topics of discussions in live chats and provide links to the partners' websites with information about these topics. This will be done, for example, by developing metric learning methods to find accurate representations of the available content and matching them with the current topics as well as the users' interests.
The second project, HydrAS [2] has a stronger focus on theoretical research. Here, you have the opportunity to work on our HypTrails method, which can be used to compare different hypotheses about user behaviour by means of bayesian statistics. HydrAS aims to extend this method with (semi-)automatic generation and testing of hypotheses as well as include more powerful statistical models like continuous time Markov chain models.
Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than July 15th, 2022, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details.
[1] https://www.informatik.uni-wuerzburg.de/datascience/home/
[2] https://gepris.dfg.de/gepris/projekt/438232455?context=projekt&task=showDet…
—
Albin Zehe
Chair for Computer Science X — Data Science
University of Würzburg
Am Hubland
97074 Würzburg
phone.: +49-(0)931-31-83217
https://www.informatik.uni-wuerzburg.de/datascience/staff/zehe/
*******************************************************************************************
20th Annual Workshop of the Australasian Language Technology Association (ALTA 2022)
** Flinders University, Adelaide (Hybrid) **
14th - 16th December 2022
http://alta2022.alta.asn.au/
*******************************************************************************************
Important Dates
Submission Deadline (short and long papers): 30 September, 2022
Submission Deadline (presentation abstracts) 7 October, 2022
Author Notification: 7 November, 2022
Camera-Ready Deadline: 15 November, 2022
Tutorials: 14 December, 2022
Main Conference: 15-16 December, 2022
Submission deadlines are UTC-11
Overview
The 20th Annual Workshop of the Australasian Language Technology Association will be held in a hybrid format at Flinders University, Adelaide, from the 14th to the 16th of December 2022.
The hybrid format gives participants a valuable opportunity to socialise either in-person or via online platform.
The ALTA 2022 workshop is the key local forum for socialising research results in natural language processing and computational linguistics, with presentations and posters from students, industry, and academic researchers. Like previous years, we would also like to encourage submissions and participation from industry and government researchers and developers.
Note that ALTA is listed in recently updated CORE 2021 Conference Rankings as Australasian B.
Topics
ALTA invites the submission of papers and presentations on all aspects of natural language processing, including, but not limited to:
-phonology, morphology, syntax, semantics, pragmatics, and discourse
-speech recognition, understanding and generation
-interpreting spoken and written language
-natural language generation
-linguistic, mathematical, and psychological models of language
-NLP-based information extraction and retrieval
-corpus-based and statistical language modelling
-machine translation and translation aids
-question answering and information extraction
-natural language interfaces and dialogue systems
-natural language and multimodal systems
-message and narrative understanding systems
-evaluations of language systems
-embodied conversational agents
-computational lexicography
-summarisation
-language resources
-topic modelling, semantics and ontology
-unsupervised language learning and analysis
-social media analysis and processing
-search and information retrieval
-domain-specific adaptation of natural language processing algorithms
-applied natural language processing and/or applications in industry
We particularly encourage submissions that broaden the scope of our community through the consideration of practical applications of language technology and through multi-disciplinary research. We also specifically encourage submissions from industry.
Format
We invite submissions of two different formats: (1) Original Research Papers and (2) Abstract-based Presentations.
(1) Original Research Papers
We invite the submission of papers on original and unpublished research on all aspects of natural language processing.
Long papers should be 6-8 pages and short papers should be 3-4 pages. Accepted papers will either be delivered as an oral presentation or as a poster presentation. Both short and long papers may include unlimited pages of references in addition to the page count requirements.
Note that the review process is double-blind, and accordingly submitted papers should not include the identity of author(s) and the text should be suitably anonymised, e.g. using third person wording for self-citations, not providing URLs to your person website, etc. Original research papers will be included in the workshop proceedings, which will be published online in the ACL anthology and the ALTA website. Long papers will be distinguished from short papers in the proceedings.
(2) Abstract-based Presentations
To encourage broader participation and facilitate local socialisation of international results, we invite 1-2 page presentation abstracts. The organisers may offer the opportunity to give an oral presentation or a poster presentation. Submissions should include presentation title and abstract, name of the presenter, any publications relating to the work, and any information on collaboration with the local ALTA community. Abstracts will not be published in the proceedings, but simply reviewed by the ALTA executive committee to ensure that they are on topic, coherent and likely to be of interest to the ALTA community. Abstracts on work in progress and work published or submitted elsewhere are encouraged. ALTA invites submissions of all manner interesting research, not limited to, but including:
established academics giving an overview of an exciting paper or paper/s published in international venues;
completing research students giving an overview of their thesis work;
early candidature research students presenting their work-in-progress and ideas, which may not have been published; and
industry presenting research and development over linguistic data in the context of their business.
Presentation abstracts should not be anonymised, any publications relating to the work should be cited in the submission, and the person who will give the presentation should be clearly stated.
Multiple Submission Policy
Original research papers that are under review for other publication venues or that you intend to submit elsewhere may be submitted in parallel to ALTA. We require that you declare at submission that your paper is submitted to another venue, and identify the venue. Should your paper be accepted to both ALTA and another venue, we allow you to decide whether the paper should be published in the ALTA proceedings, or if it should be treated as a Presentation (without archival publication). In this case you would still be able to present a research talk at the ALTA workshop. This is to encourage more internationally leading research to be presented at the workshop.
Instructions for Authors
Authors should submit their papers via Easychair (https://easychair.org/conferences/?conf=alta2022)
There are 3 tracks in EasyChair this year:
ALTA 2022 (Long) – use this for long papers
ALTA 2022 (Short) – use this for short papers
ALTA 2022 (Abstracts) – use this for abstracts
Formatting Guidelines
Submissions must follow the two-column ACL format
Paper Length
Long papers should be 6-8 pages
Short papers should be 3-4 pages
Abstracts ideally should be a few paragraphs and no more than 2 pages
Anonymisation
Short and long papers must be anonymised.
Abstracts are NOT to be anonymised and must include the author's/authors' affiliation
************************************
Call for Papers: EvoNLP - The First Workshop on Ever Evolving NLP + Shared task
Workshop: https://sites.google.com/view/evonlp/
Shared Task: https://sites.google.com/view/evonlp/shared-task
Submission deadline (for papers requiring review / non-archival): 10 October, 2022
Submission deadline (with ARR reviews): 25 October, 2022
Notification of acceptance: 31 October, 2022
Camera-ready paper deadline: 11 November, 2022
Workshop date: 7 December, 2022
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Advances in language modeling have led to remarkable accuracy on several NLP tasks, but most benchmarks used for evaluation are static, ignoring the practical setting under which training data from the past and present must be used for generalizing to future data. Consequently, training paradigms also ignore the time sensitivity of language and essentially treat all text as if it was written at a single point in time. Recent studies have shown that in a dynamic setting, where the test data is drawn from a different time period than the training data, the accuracy of such static models degrades as the gap between the two periods increases.
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This workshop focuses on these time-related issues in NLP models and benchmarks. We invite researchers from both academia and industry to redesign experimental settings, benchmark datasets, and modeling by especially focusing on the “time” variable. We will welcome papers / work-in-progress on several topics including (but not limited to):
- Dynamic Benchmarks: Evaluation of Model Degradation in Time
Measuring how NLP models age
Random splits vs time-based splits (past/future)
Latency (days vs years) at which models need to be updated for maintaining task accuracy
Time-sensitivity of different tasks and the type of knowledge which gets stale
Time-sensitivity of different domains (e.g., news vs scientific papers) and how domain shifts interact with time shifts
Sensitivity of different models and architectures to time shifts
- Time-Aware Models
Incorporating time information into NLP models
Techniques for updating / replacing models which degrade with time
Learning strategies for improving temporal degradation
Trade-offs between updating a degraded model vs replacing it altogether
Mitigating catastrophic forgetting of old knowledge as we update models with new knowledge
Improving plasticity of models so that they can be easily updated
Retrieval based models for improving temporal generalization
- Analysis of existing models / datasets
Characterizing whether degradation on a task is due to outdated facts or changes in language use
Effect of model scale on temporal degradation – do large models exhibit less degradation?
Efficiency / accuracy trade-offs when updating models
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All accepted papers will be published in the workshop proceedings unless requested otherwise by the authors. Submissions can be made either via OpenReview where they will go through the standard double-blind process, or through ACL Rolling Review with existing reviews. See details below.
---- Submission guidelines ----
We seek submissions of original work or work-in-progress. Submissions can be in the form of long/short papers and should follow the ACL main conference template. Authors can choose to make their paper archival/non-archival. All accepted papers will be presented at the workshop.
Archival track
We will follow double-blind review process and use OpenReview for the submissions. We also will accept ACL rolling review (ARR) submissions with reviews. Since these submissions already come with reviews, the submission deadline is much later than the initial deadline. We will use Open Review for the submissions.
Submission link: https://openreview.net/group?id=EMNLP/2022/Workshop/EvoNLP
For papers needing review click “EMNLP 2022 Workshop EvoNLP submission”
For papers from ARR click “EMNLP 2022 Workshop EvoNLP commitment Submission”
---- Non-archival track ----
Non-archival track seeks recently accepted / published work as well as work-in-progress. It does not need to be anonymized and will not go through the review process. The submission should clearly indicate the original venue and will be accepted if the organizers think the work will benefit from exposure to the audience of this workshop.
Submission: Please email your submission as a single PDF file to evonlp(a)googlegroups.com. Include “EvoNLP Non-Archival Submission” in the title and the author names and affiliation within the body of your email.
---- Shared task ----
The workshop will feature a shared task on meaning shift detection in social media. Initial data already available! Winners of the shared task will also receive a cash prize. More details at the workshop website :https://sites.google.com/view/evonlp/shared-task.
Best paper award
Thanks to generous support from our sponsors Snap Inc, we will award the best paper award (with cash prize) to one of the submissions selected by our program committee and organizing committee. The best paper will be given the opportunity for a lightning talk to introduce their work.
--
Jose Camacho Collados
http://www.josecamachocollados.com<http://www.josecamachocollados.com/>
Dear all,
On behalf of "Mathematics", Cornelia Caragea and I are happy to let you know that the NLP Special Issue has been closed. You can check it out here:
https://www.mdpi.com/journal/mathematics/special_issues/Natural_Language_Pr…
We thank the contributors and hope to meet you all on the occasion of the new Special Issue that will be launched soon.
"Mathematics" has increased its Impact Factor as of today (new IF 2.592) and ranks 21/332 (Q1) in the category 'Mathematics'.
Florentina Hristea