Postdoctoral Researcher – Defining Authentic Inclusive Communication
Insight SFI Research Centre for Data Analytics
Data Science Institute Ref. No. 010548
JOB ADVERTISEMENT
Applications are invited from suitably qualified candidates for a
full-time, fixed term position as a Postdoctoral Researcher with Data
Science Institute <https://www.universityofgalway.ie/dsi/>at the
University of Galway, Ireland.
This position is funded by Science Foundation of Ireland and is available
from 1st October 2024 to contract end date of 30th September 2025.
Salary: Postdoctoral salary scale €44,346 – €56,764 per annum per annum,
(subject to the project’s funding limitations), and pro rata for shorter
and/or part-time contracts.
Closing date for receipt of applications is 17:00 (Irish Time) on 5th
Aug2024. It will not be possible to consider applications received after
the closing date.
ELIGIBILITY REQUIREMENTS
Essential Requirements:
- PhD in Natural Language Processing (NLP) or Linguistics
- Published at top conferences in the NLP field or in high impact factor
- Excellent understanding of experimental design and scientific
methodologies
- Strong command of oral and written English
- Good programming skills
Desirable Requirements:
- Strong knowledge of NLP equality, diversity, and inclusion
- Experience engaging in research collaborations with industry
- Experience in writing grant proposals
- Experience of working in national and/or EU research projects
To apply: Jobs – University of Galway.
<https://www.universityofgalway.ie/about-us/jobs/> Applications must be
submitted
How to apply guide
<https://www.universityofgalway.ie/human-resources/recruitment-and-selection…>
- For informal enquiries, please contact Bharathi Raja Chakravarthi
bharathi.raja(a)universityofgalway.ie
<bharathi.raja(a)universityofgalway.ie>and cc Dr Meghann L. Drury-Grogan
Meghann.Drury- <Meghann.Drury-Grogan(a)atu.ie> Grogan(a)atu.ie
<Meghann.Drury-Grogan(a)atu.ie>
- University’s Strategic Plan
<https://www.universityofgalway.ie/strategy2025/>
- Working in Research at University of Galway
<https://www.universityofgalway.ie/our-research/>
- Moving to Ireland (Euraxess) <https://www.euraxess.ie/>
- Applicant Information
<https://www.universityofgalway.ie/human-resources/recruitment-and-selection…>
- We reserve the right to re-advertise or extend the closing date for
this
- University of Galway is an equal opportunities
- All positions are recruited in line with Open, Transparent, Merit
(OTM) and Competency based
with regards,
Dr. Bharathi Raja Chakravarthi,
Assistant Professor / Lecturer-above-the-bar
School of Computer Science, University of Galway, Ireland
Insight SFI Research Centre for Data Analytics, Data Science Institute,
University of Galway, Ireland
E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie
<bharathiraja.asokachakravarthi(a)universityofgalway.ie>
Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en
Website:
https://www.universityofgalway.ie/our-research/people/computer-science/bhar…
<https://www.universityofgalway.ie/our-research/people/computer-science/bhar…>
Dear all,
LIACS currently has a vacancy for two assistant professor positions, which might be of interest to some people on this list.
Here’s the beginning of the vacancy:
"The Faculty of Science, Leiden Institute of Advanced Computer Science (LIACS), is seeking candidates for two Assistant Professors (0.8-1.0 FTE), one in generative AI and another in Human-centered AI. We seek to appoint an expert in the research area of Generative AI with focus on software systems and engineering (code generation, bug detection and repair, refactoring, and optimization but also at a larger scale such as architecture reconstruction and impact analysis for changes), prompt engineering (for content creation and data analysis), or diffusion models (for transforming the creation of high-fidelity data, such as images and simulations). Additionally, we seek to appoint an expert in Human-centered AI with focus on the designing of AI systems that prioritize human needs, usability, and collaboration, and/or on the involvement of humans in the training and refining processes (interactive machine learning)."
Here’s the full vacancy: https://www.universiteitleiden.nl/en/vacancies/2024/q3/150312-assistant-pro…
Best,
dr. Gijs Wijnholds
Assistant Professor in Natural Language Processing
Text Mining and Retrieval Group<https://tmr.liacs.nl/>
Leiden Institute of Advanced Computer Science
https://gijswijnholds.github.io
Dear all,
the QE shared task 2024 is ON!
You can now submit and test your quality estimation system(s) on a set of different languages and tasks: to predict translation quality at sentence level, to detect error spans, or even to correct translations!
For information on how to access the test data and the submission platforms, visit the shared task's webpage:
https://www2.statmt.org/wmt24/qe-task.html
Deadline to participate is July 31 (AoE).
Looking forward to receiving your predictions!
--
Best wishes,
on behalf of the organisers.
Dear all,
we are happy to invite you to participate in the Shared Task on Quality Estimation at WMT'24.
The details of the task can be found at: https://www2.statmt.org/wmt24/qe-task.html
New this year:
* We introduce a new language pair (zero-shot): English-Spanish
* Continuing from the previous edition, we will also analyse the robustness of submitted QE systems to a set of different phenomena which will span from hallucinations and biases to localized errors, which can significantly impact real-world applications.
* We also introduce a new task, seeking not only to detect but also to correct errors: Quality-aware Automatic Post-Editing! We invite participants to submit systems capable of automatically generating QE predictions for machine-translated text and the corresponding output corrections.
2024 QE Tasks:
Task 1 -- Sentence-level quality estimation
This task follows the same format as last year but with fresh test sets and a new language pair: English-Spanish. We will test the following language pairs:
* English to German (MQM)
* English to Spanish (MQM)
* English to Hindi (MQM & DA)
* English to Gujarati (DA)
* English to Telugu (DA)
* English to Tamil (DA)
More details: https://www2.statmt.org/wmt24/qe-subtask1.html
Task 2 -- Fine-grained error span detection
Sequence labelling task: predict the error spans in each translation and the associated error severity: Major or Minor.
We will test the following language pairs:
* English to German (MQM)
* English to Spanish (MQM)
* English to Hindi (MQM)
More details: https://www2.statmt.org/wmt24/qe-subtask2.html
Task 3 -- Quality-aware Automatic Post-editing
We expect submissions of post edits correcting detected error spans of the original translation. Although the task is focused on quality-informed APE, we also allow participants to submit APE output without QE predictions to understand the impact of their QE system. Submissions w/o QE predictions will also be considered official.
We will test the following language pairs:
* English to Hindi
* English to Tamil
More details: https://www2.statmt.org/wmt24/qe-subtask3.html
Important dates:
1. Test sets will be released on July 15th.
2. Participants can submit their systems by July 23rd on codalab.
3. System paper submissions are due by 20th August [aligned with WMT deadlines].
Note: Like last year, we aligned with the General MT and Metrics shared tasks to facilitate cross-submission on the common language pairs: English-German, English-Spanish, and English-Hindi (MQM).
We look forward to your submissions and feel free to contact us if you have any more questions!
Best wishes,
on behalf of the organisers.
First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS 2024)
Lancaster, UK, 29-30 July 2024
Call for Participation
We are pleased to share the NLPAICS 2024 conference programme, which you can view by clicking here - https://nlpaics.com/programme-2/.
To register, please visit https://nlpaics.com/registration/.
We very much hope to welcome you to NLPAICS 2024 at Lancaster!
The conference
Recent advances in Natural Language Processing (NLP), Deep Learning and Large Language Models (LLMs) have resulted in improved performance of applications. In particular, there has been a growing interest in employing AI methods in different Cyber Security applications.
In today's digital world, Cyber Security has emerged as a heightened priority for both individual users and organisations. As the volume of online information grows exponentially, traditional security approaches often struggle to identify and prevent evolving security threats. The inadequacy of conventional security frameworks highlights the need for innovative solutions that can effectively navigate the complex digital landscape for ensuring robust security. NLP and AI in Cyber Security have vast potential to significantly enhance threat detection and mitigation by fostering the development of advanced security systems for autonomous identification, assessment, and response to security threats in real-time. Recognising this challenge and the capabilities of NLP and AI approaches to fortify Cyber Security systems, the First International Conference on Natural Language Processing (NLP) and Artificial Intelligence (AI) for Cyber Security (NLPAICS’2024) serves as a gathering place for researchers in NLP and AI methods for Cyber Security. We invite contributions that present the latest NLP and AI solutions for mitigating risks in processing digital information.
Venue
The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) will take place at Lancaster University and is organised by the Lancaster University UCREL NLP research group.
Keynote speakers
We are delighted to announce the NLPAICS’2024 keynote speakers
- Iva Gumnishka (Humans in the Loop)
- Sevil Şen (Hacettepe University)
- Paolo Rosso (Universitat Politècnica de València)
- Jacques Klein (University of Luxembourg)
Sponsors
We are proud to announce the conference sponsors:
CodeAgent – Collaborative Agents for Software Engineering
Further information and contact details
The conference website is https://nlpaics.com/ and will be updated on a regular basis. The conference updates will also be available on social media (X - https://x.com/nlpaics, LinkedIn - https://linkedin.com/company/nlpaics/ )
Regards
Tharindu Ranasinghe
Second Call for Papers
NLP for Positive Impact Workshop
Miami, USA
November 15 or 16, 2024
(co-located with EMNLP 2024 <https://2024.emnlp.org/>)
https://sites.google.com/view/nlp4positiveimpact
*Submission*
Direct submission via ARR*: *link
<https://openreview.net/group?id=EMNLP/2024/Workshop/NLP4PI_Direct_Submission>
Deadline: August, 15th
For papers submitted to June (or earlier) ARR cycle: Commitment deadline to
the Workshop: August 20, 2024 Commit to the workshop: via this link
<https://openreview.net/group?id=EMNLP/2024/Workshop/NLP4PI_ARR_Commitment>
Notification of Acceptance: September 20, 2024
Camera-Ready Papers Due: October 3, 2024
Workshop Date: either November 15 or 16
All deadlines are 11:59 PM (Anywhere on Earth
<https://www.timeanddate.com/time/zones/aoe>)
*Submission Information*
We are using the EMNLP Submission Guidelines
<https://2024.emnlp.org/calls/main_conference_papers/#paper-submission-detai…>
for the workshop. Authors are invited to submit a full paper of up to 8
pages of content with unlimited pages for references. We also invite short
papers of up to 4 pages of content, including unlimited pages for
references. Final camera ready versions of accepted papers will be given an
additional page of content to address reviewer comments.
Summary
The widespread and indispensable use of language-oriented AI systems
presents new opportunities to have a positive social impact. NLP
technologies are starting to mature to the point where they could have an
even broader impact, supporting the UN sustainability goals
<https://sdgs.un.org/goals> by helping to address big problems such as
poverty, hunger, healthcare, education, inequality, COVID-19 and climate
change.
Our workshop aims to promote innovative NLP research that will positively
impact society, focusing on responsible methods and new applications. We
will encourage submissions from areas including (but not limited to):
-
Work that grounds the impact of NLP: Beyond developing a
better-performing NLP model, can we make a step further to connect the
model to actual social impact? Example directions include: case studies
of real-world deployments; or improving the deployment and maintenance of
NLP models in practice.
-
In addition to commonly recognized NLP for social good areas such as NLP
for healthcare, mental well-being, and many others, we also call for work
on neglected areas such as NLP for poverty, hunger, energy, climate change,
among others.
-
We also highly value work that builds on interdisciplinary expertise,
and encourages submissions of case studies or worked examples that seek to
expand the social impact of NLP through collaboration with other fields
(e.g., philanthropy, social science, political science, economics, HCI).
Special theme: This year, we would like to encourage submission providing
solutions or concepts to address digital violence. Digital violence
encompasses various forms of violence that utilize digital tools and media,
such as cell phones, apps, internet applications, and emails, and occurs
within digital spaces like online portals and social platforms. We aim to
explore how modern NLP and AI technologies can contribute to enhancing
safety in digital environments. At the workshop, you will have an
opportunity to connect and share your results with NGO representatives from
this field!
Submission types:
Thus, we would appreciate to see various types of works on this (but not
only) topic like:
-
automatic identification of various social needs, their corresponding
sizes and demographics of people affected;
-
position papers to propose promising new tasks or directions that the
field should pursue;
-
literature review of a subfield;
-
philosophical discussions of what how positive impact can be achieved
with NLP methods;
-
approaches to interdisciplinary collaboration;
-
user study designs, user surveys;
-
ethical considerations, and other related topics.
Note that we want submissions to our workshop to have some distinctive
features of social good implications, beyond a general paper on NLP. We
will require each submission to discuss the ethical and societal
implications of their work, and encourage a discussion of what "positive
impact" means in the work.
Organizers
Zhijing Jin (Max Planck Institute & ETH Zurich)
Daryna Dementieva (Technical University of Munich)
Giorgio Piatti (ETH Zürich)
Steven Wilson (Oakland University)
Oana Ignat (Santa Clara University)
Jieyu Zhao (University of Maryland, College Park)
Joel Tetreault (Dataminr, Inc.)
Rada Michaela (University of Michigan)
Contact Email
-
nlp4pi.workshop(a)gmail.com
[With apologies for cross-posting]
We are excited to announce the 22nd International Workshop on Treebanks and Linguistic Theories (TLT 2024), which will bring together developers and users of linguistically annotated natural language corpora. The workshop is endorsed by ACL SIGPARSE and will be hosted by Universität Hamburg in Germany on December 5th-6th, 2024.
-----------------------------
VENUE
-----------------------------
TLT 2024 will take place at the guest house of Universität Hamburg. In order to support rich discussions and networking, TLT 2024 will primarily be an in-person event; we will, however, accommodate a limited number of live / synchronous remote presentations, prioritizing those with circumstances that prevent travel.
Universität Hamburg and its guest house are conveniently located near the Dammtor train station / metro station Stephansplatz which are well-connected with many parts of the city and beyond, providing an easy commute for attendees.
Hamburg is a vibrant city known for its rich maritime history as one of the leading cities in the medieval Hanseatic League, as well as its modern cultural diversity, including events at the world-famous Elbphilharmonie Concert Hall. The city is easily accessible by train or plane (Hamburg Airport (HAM); about 1 to 1.5 hours train ride: Bremen Airport (BRE) and Hannover Airport (HAJ)).
-----------------------------
SUBMISSION INFORMATION
-----------------------------
TLT addresses all aspects of treebank design, development, and use. As ‘treebanks’ we consider any pairing of natural language data (spoken, signed, or written) with annotations of linguistic structure at various levels of analysis, including, e.g., morpho-phonology, syntax, semantics, and discourse. Annotations can take any form (including trees or general graphs), but they should be encoded in a way that enables computational processing. Reflections on the design of linguistic annotations, methodology studies, resource announcements or updates, annotation or conversion tool development, or reports on treebank usage including probing the leakage of treebanks into large language models are but some examples of the types of papers we anticipate for TLT.
Papers should describe original work; they should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference, and interest to the attendees.
We invite paper submissions in two distinct tracks:
* regular papers on substantial and original research, including empirical evaluation results, where appropriate;
* short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces.
Submissions (in both tracks) may either be archival—in case of unpublished work—or non-archival, based on the wish of the authors. All archival papers accepted for presentation at the workshop will be included in the TLT 2024 proceedings volume, which will be part of the ACL Anthology. Non-archival papers must have been published or accepted for publication at another CL conference.
Long papers may consist of up to 8 pages of content (excluding references and appendices). Short papers may consist of up to 4 pages of content (excluding references and appendices). Accepted papers will be given an additional page to address reviewer comments.
All submissions should follow the two-column format and the ACL style guidelines. We strongly recommend the use of the LaTeX style files, OpenDocument, or Microsoft Word templates created for ACL: https://github.com/acl-org/acl-style-files
Submissions will be reviewed double-blind, and all full and short papers must be anonymous, i.e. not reveal author(s) on the title page or through self-references. So e.g., “We previously showed (Smith, 2020) …”, should be avoided. Instead, use citations such as “Smith (2020) previously showed …. Papers must be submitted digitally, in PDF, and uploaded through the on-line conference system (link forthcoming).
Submissions that violate these requirements will be rejected without review.
-----------------------------
IMPORTANT DATES
-----------------------------
* Long and short paper submission deadlines: August 15th, 2024
* Reviews Due: September 26th, 2024
* Notification of acceptance: October 6th, 2024
* Final version of papers due: November 6th, 2024
* TLT2024: December 5th-6th, 2024 in Hamburg
-----------------------------
TLT2024 WORKSHOP CHAIRS
-----------------------------
Daniel Dakota, Indiana University
Sandra Kübler, Indiana University
Heike Zinsmeister, Universität Hamburg
-----------------------------
TLT2024 COMMUNICATION CHAIR
-----------------------------
Sarah Jablotschkin, Universität Hamburg
Contact: tlt2024.gw(a)uni-hamburg.de
Website: https://www.korpuslab.uni-hamburg.de/en/tlt2024.html
---------------------------
Prof. Dr. Heike Zinsmeister (sie/ihr)
Linguistik des Deutschen / Korpuslinguistik
Universität Hamburg, Institut für Germanistik, Raum C7012
Von-Melle-Park 6, Postfach #15, D-20146 Hamburg
Tel.: 040 42838-7119
heike.zinsmeister(a)uni-hamburg.de
http://www.slm.uni-hamburg.de/germanistik/personen/zinsmeister.html
Friday, November 8 - Saturday, November 9
Brown Computer Science Department, Providence, RI
https://cs.brown.edu/people/in-memorium/eugene_charniak/
Brown University invites you to attend an academic memorial event to
commemorate the research and legacy of Eugene Charniak. Eugene, an ACL
Lifetime Achievement Award winner and ACL fellow, passed away in June
2023. His colleagues and students have organized a two-day workshop of
invited presentations of cutting-edge research with an emphasis on the
themes which defined Eugene's career: the legacy of classic statistical
NLP/ML, the sometimes-surprising effectiveness of simple baselines,
clever tricks for dealing with data sparsity such as self-training or
distant supervision, and unsupervised learning.
A full program will be posted later this summer. Mark Johnson will give
a keynote presentation, along with research talks by Regina Barzilay,
Michael Collins, Jason Eisner, Lillian Lee, Ani Nenkova, Ellie Pavlick,
Brian Roark, Chris Tanner and Byron Wallace. There will also be
opportunities to remember Eugene in a social setting, and a panel
discussion of the workshop's research themes.
The event will take place at the Brown Computer Science Department in
Providence, RI; attendees are responsible for finding their own
accommodations. Instructions for travel to Providence are available
here: https://cs.brown.edu/about/directions/. The program will begin at
9am on Friday the 8th, and conclude at 1:30pm on Saturday the 9th. All
members of the ACL community are welcome, whether you knew Eugene well
or not. Please mark your calendars now!
To stay in the loop about the event, please fill out this form:
https://docs.google.com/forms/d/e/1FAIpQLSe_7LZBSjP3Ur2XCTtsDtwnL_Jbxgh5Wfi…
If you have questions about the event, contact the organizers, Micha
Elsner (melsner0(a)gmail.com) and David McClosky
(david.mcclosky(a)gmail.com).
Hi all,
I have a postdoc job to share, see below. Thank you for sharing the offer in potentially interested circles.
Best,
Peeter
----
Post doc job(s) available for text and data mining and social history / sustainability transitions.
The project “The Crisis and Transformation of Industrial Modernity, 1900-2055”, is a five-year project at the University of Tartu. It is based on the Deep Transitions framework which theorizes industrialization as a long-term co-evolution of various socio-technical systems.
Website: https://www.deeptransitions.ut.ee/.
Job description: https://www.deeptransitions.ut.ee/jobs/
Job call PDF: http://tiny.cc/dt_postdoc_call_2024<http://tiny.cc/dt_postdoc_call_2024>
1,5 FTE available for jobs. Some flexibility in workload and work location based on the exact focus. Contact laur.kanger(a)ut.ee<mailto:laur.kanger@ut.ee> for more details.