We are please to announce the following *PhD Position *in the are of
Machine Translation Evaluation at the ADAPT Centre and the School of
Applied Language and Intercultural Studies in Dublin City University,
Ireland.
*Minimum qualifications:*
- Bachelors in Translation, Natural Language Processing or related
fields with knowledge of Machine Translation evaluation.
- English language requirements for non-native speakers of English is
available here, under Post Graduate>>Faculty of Humanities and Social
Science:
https://www.dcu.ie/registry/english-language-requirements-non-native-speake…
*Preferred qualifications:*
- Masters in Translation Technologies, Machine Translation, Natural
Language Processing or related fields.
- Experience with machine translation evaluation.
*Application Process:*
As part of your application you will be required to submit:
- A letter of introduction (max 1500 words). In the letter, applicants
should include the following details:
- An explanation of your interest in this research, highlighting why
you think you are a suitable candidate.
- Highlight any experience you have with machine translation
evaluation, or any other relevant experience e.g., working as a
translator/linguist, MT developer, or any relevant projects in the area.
- Details of your final year undergraduate project (if applicable),
and or of your MSc project (if applicable).
- Details of any relevant modules previously taken, at undergraduate
and/or Master level.
- Details of any relevant work experience (if applicable)
- Detailed CV, including – if applicable – relevant publications;
- Transcripts of degrees
*Application deadline:*
14th of October 2022
*Enquiries*:
sheila.castilho(a)dcu.ie
More details and application form can be found here:
https://www.adaptcentre.ie/careers/phd-in-document-level-human-evaluation-o…
*----*
*Sheila Castilho*
Ollamh Cúnta | Scoil na dTeangacha Feidhmeacha & Staidéar Idirchultúrtha |
Ollscoil Chathair Bhaile Átha Cliath
Assistant Professor | School of Applied Language and Intercultural Studies
| Dublin City University
ADAPT Centre - Tel: + 353 1 700 5832
--
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We would like to draw your attention to the open call for a full-time
academic position as Full Professor (m/f/d) of Fundamentals of Natural
Language Processing (W3 salary level) at the University of Bamberg,
Germany. Application deadline is 19 October 2022.
For more details and how to apply, please refer to
https://www.uni-bamberg.de/en/abt-personal/stellenausschreibung/professorsh…
or directly to
https://www.uni-bamberg.de/fileadmin/abt-personal/Homepage_ab_2016-03/10_St…
Queries regarding the position as such can be addressed to Prof. Dr.
Andreas Henrich (andreas.henrich(a)uni-bamberg.de).
--
Prof. Dr.-Ing. Stefan Ultes
Chair of Language Generation and Dialogue Systems
University of Bamberg
Bamberg, Germany
stefan.ultes(a)uni-bamberg.de
Research Associate – Natural Language Processing
School of Computing and Communications
Salary: Grade 6 £29,619 to £34,308
Closing Date: 30 September 2022
Interview Date: 17 October 2022
Reference: 0965-22
https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0965-22
The School of Computing and Communications (SCC) within Lancaster University’s Faculty of Science and Technology, is seeking to appoint a Research Associate (RA) to work on a new large five year long (nine million euros in total across sixteen partners) EU Horizon Project: Design-based Data-driven Decision-support Tools: Producing Improved Cancer Outcomes Through User-centered Research (4D PICTURE Project).
Treatment decision-making by patients with cancer, their significant others, and clinicians can be complex, in particular when a choice has to be made between different treatment regimens with different risk profiles, potential outcomes, and effects on survival and quality of life. Decision making is often complicated through inefficient care paths, including logistic problems and lack of overview of the entire treatment trajectory including unclear responsibilities and inconsistency in information provision to patients. Recent research highlights that such inefficient care paths hinder patients with cancer and their significant others in treatment decision-making, leading to high levels of stress, fear, disempowerment, and unwanted dependence on healthcare professionals. Decision-support tools, which are computer-based tools developed to support decision analysis and participatory processes, have the potential to lead to improved access to innovative, high-quality, oncological care, enhanced patient empowerment, better treatment adherence, better health outcomes, and more health equity.
The central aim of the 4D PICTURE project is to transform health care delivery decision-making processes in oncology by redesigning patients’ care paths and integrating evidence-based decision-support tools. The care paths will be redesigned to enable effective integration of these tools to facilitate the complexities of decision making with and for cancer patients. To achieve this aim, we will further develop a promising service design methodology to redesign care paths, called MetroMapping. Lancaster University will be leading on a work package to develop a conversation tool (based on our prior work on the metaphor menu, and the Metaphor in End of Life Care (MELC) project) for cancer patients, their significant others, their clinicians and citizens based on text mining analyses of patient experience ‘big’ data and citizen science methods. To that end, we will apply an interdisciplinary approach that combines the strengths of AI-tools (text mining / natural language processing (NLP) techniques), corpus linguistics, and qualitative (narrative) research to efficiently convert the stories of experience of people with cancer and their significant others into usable knowledge about how they experience their care trajectory. Our methodology embeds citizen science, or patient and public involvement (PPI), at its core.
Working together with multiple project partners, the SCC RA will contribute to multilingual (English, Dutch, Danish and Spanish) data collection from multiple sources, exploratory data analysis using a variety of corpus-based NLP techniques, mapping patient vocabulary to clinical language, and machine learning tasks to train classifiers on human-labelled data.
The RA will be part of an internationally recognised centre of expertise for corpus-based natural language processing (UCREL), and will work directly with Professor Paul Rayson in SCC, Professor Elena Semino (Linguistics) and Professor Sheila Payne (Health and Medicine). For more details, please see the associated job description and person specification for this position. Potential candidates can also make informal enquiries to Professor Paul Rayson (p.rayson(a)lancaster.ac.uk). This is a full-time position expected to start as soon as possible from October 2022, and the RA will join on an indefinite contract, however the role remains contingent on external funding, which for this position ends 30th September 2027. Flexible working arrangements may be possible, and there are possibilities to undertake a PhD on related topics during the project.
Lancaster University are committed to family-friendly and flexible working policies on an individual basis. The School is also an Athena Swan Bronze Award holder, driving good employment practice and initiatives to address gender inequalities in Computing higher education and research.
We welcome applications from people in all diversity groups.
--
Paul Rayson
Director of UCREL and Professor of Natural Language Processing
Group Lead (SCC Data Science)
School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK.
Web: http://www.research.lancs.ac.uk/portal/en/people/Paul-Rayson/
Tel: +44 1524 510357
Contact me on Teams<https://teams.microsoft.com/l/chat/0/0?users=p.rayson@lancaster.ac.uk>
[with apologies for cross-posting]
The Language Technology Group (LTG) at the University of Oslo offers a
fully funded postdoctoral fellowship for a duration of 3 years.
This position is a part of a new EU Horizon project titled
“High-Performance Language Technologies” (HPLT). HPLT is a collaboration
between 5 universities (Oslo, Edinburgh, Helsinki, Prague and Turku), 2
high-performance computing centers (Uninett Sigma2 in Norway and Cesnet
in the Czech Republic), and one Spanish company (Prompsit) on the
development of language and translation models at scale. The project
aims at continuous integration of pre-trained language models and data,
resulting in free downloadable high-quality models for all official
European Union languages and beyond. With a strong focus on
multi-linguality, reproducibility, openness and scale, HPLT will allow
easy discovery and access to corpora, models and code.
We are looking for a postdoctoral fellow interested in processing and
maintaining very large troves of natural language data (in particular,
significant parts of the Internet Archive). These corpora and datasets
will be used for training, updating, evaluating and publicly serving
state-of-the-art language models for European languages (both
monolingual and multilingual). This includes developing and refining
automated replicable software installations across high-performance
computing (HPC) systems, notably the new LUMI European pre-exascale
supercomputer. The successful candidate will join the HPLT project team
and enjoy an active role in the consortium.
Applicants must hold a degree equivalent to a Norwegian doctoral degree
in Natural Language Processing, Computational Linguistics, or Computer
Science with a suitable specialization. Candidates whose doctoral thesis
has been submitted for evaluation by the closing date are encouraged to
apply. Only applicants with an approved doctoral thesis and public
defense prior to the start date will be eligible for appointment.
The application deadline is September 23, 2022. Starting date subject to
discussion, but no later than February 1, 2023.
For more information, please see the full announcement and application
form here:
https://www.jobbnorge.no/en/available-jobs/job/231118/postdoctoral-research…
Please do not hesitate to contact us for any further information:
- postdoctoral fellow Andrey Kutuzov: andreku(a)ifi.uio.no
- professor Stephan Oepen: oe(a)ifi.uio.no
--
Andrey
Postdoctoral Fellow
Language Technology Group (LTG)
University of Oslo
Dear friends and colleagues!
*Due to technical problems our site has been down for almost a week.*
*Now it is back on place.*
*This is why we repeat our last Call for papers for ConsILR-2022 *
We kindly invite you to submit a paper for the 17th edition of
The *International Conference on Linguistic Resources and Tools *
*for Natural Language Processing* – ConsILR-2022
together with the 2nd *DeLORo Workshop*,
which will jointly take place
from the 10th to the 12th of November 2022,
in Chișinău, Republic of Moldova and online.
The deadlines for paper’ submissions have been extended:
- *September 23, 2022 – abstracts submission (max 300 words);*
- *September 30, 2022 – paper submission;*
- *October 12, 2022 – authors’ notification;*
- *October 20, 2022 – final form submission;*
We invite papers presenting original and unpublished research in all
areas related to Linguistic Resources and Tools for Natural Language
Processing. We call for contributions that range from theoretical,
empirical and applied linguistics to computational models, from development
of resources to their dedicated use for the improvement of the natural
language technology, research related to any language or no one in
particular; case studies, demos and review papers are also most welcome. We
encourage research evidencing specific interest on the Romanian spoken or
written language per se or in contrast with other languages or within its
idioms, describing morphological, syntactic and semantic structures,
pragmatic usage, multi-word expressions, culture-bound or nature-related,
the formation of the modern Romanian language, etc. Submitted papers can
include descriptions of accomplished or in progress work.
The joint DeLORo <http://deloro.iit.academiaromana-is.ro/> event is rooted
in a nationally funded project aiming to build a technology capable of
automatically transcribing Romanian documents written in Cyrillic into
their Latin equivalents, in order to be placed at the base of future
linguistic and semantic studies of the Romanian language. The 2nd DeLORo
workshop will take place in the 3rd day of the ConsILR conference.
Participants not involved in the project are also welcome.
Authors are encouraged to also submit, additional to the papers *per se*,
open-source linguistic resources, such as corpora (or corpus examples),
demo code, videos and sound files.
Further information can be found on the conference web site
https://profs.info.uaic.ro/~consilr/2022/
On behalf of the conference organizers,
Victoria Bobicev,
Technical University of Moldova.
*The ConsILR-2022 Conference is dedicated to*
*the Ukrainian scientists! *
*Their participation is tax free. *
===========================================================================================
IEEE/ACM TASLP Joint Special Issue on the Ninth and Tenth Dialog System
Technology Challenge
Call for Participation
Websites:
https://signalprocessingsociety.org/blog/ieee-acmtaslp-special-issue-ninth-…https://dstc10.dstc.community/call-for-talsp-papers
===========================================================================================
The Dialog System Technology Challenge (DSTC) is an ongoing series of
research competitions for dialog systems. To accelerate the development of
new dialog technologies, the DSTCs have provided common testbeds for
various research problems. The Ninth and Tenth Dialog System Technology
Challenge (DSTC9&10) consist of the following nine main tracks.
DSTC9:
-Beyond Domain APIs: Task-oriented Conversational Modeling with
Unstructured Knowledge Access
-Multi-domain Task-oriented Dialog Challenge II
-Interactive Evaluation of Dialog
-SIMMC: Situated Interactive Multi-Modal Conversational AI
DSTC10:
-MOD: Internet Meme Incorporated Open-domain Dialog
-Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations
-SIMMC 2.0: Situated Interactive Multimodal Conversational AI
-Reasoning for Audio Visual Scene-Aware Dialog
-Automatic Evaluation and Moderation of Open-domain Dialogue Systems
This special issue will host work on any of the DSTC9&10 tasks. Papers may
describe entries in the official DSTC9&10 challenge, or any research
utilizing their datasets irrespective of the participation in the official
challenge. We also welcome papers that analyze the DSTC9&10 tasks or
results themselves. Finally, we also invite papers on previous DSTC tasks
as well as general technical papers on any dialog-related research problems.
Submission requirements
-----------------------
You can get the author guide from the following link:
https://signalprocessingsociety.org/publications-resources/information-auth…
<https://www.google.com/url?q=https%3A%2F%2Fsignalprocessingsociety.org%2Fpu…>
Submission site
-----------------------
Submit your paper at mc.manuscriptcentral.com/tasl-ieee
Important Dates
-----------------------
-Manuscript submission date: October 15, 2022
-First Review Completed: December 15, 2022
-Revised Manuscript Due: January 15, 2023
-Second Review Completed: March 15, 2023
-Final Manuscript Due: April 30, 2023
-Expected publication date: July 2023
CONTACT
-------
For any query regarding this special issue please contact
steering(a)dstc.community
Guest Editors
Koichiro Yoshino, RIKEN, Japan
Chulaka Gunasekara, IBM Research AI, USA
*Apologies for cross-posting*
*Special Issue on Language Technology for Safer Online Social Media
Platforms in Low-resource Eurasian Languages *
Link:
https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang…
* Aims, Scope and Objective of Special Issue: *
Our everyday lives have become more reliant on online platforms. Social
media (Facebook, Twitter, Instagram), discussion websites (Reddit),
messaging services (WhatsApp, Snapchat), blogs, forums, and online chats
have all been used to spread ideas and data. Without a doubt, social media
platforms like Facebook, Twitter, and Instagram benefit society by enabling
individuals to express themselves and seek support from others in the
online community. Additionally, these platforms have an unmistakable wrong
side: cyberbullying, cyberstalking, cyberterrorism, e-bile, fake news,
flaming, hate speech, impersonation, pornography, glorification of
dangerous behavior (e.g., eating disorders), and trolling. Various news
sites in recent years have recorded numerous incidences of suicide, grief,
and fear. Additionally, although individuals from many linguistic origins
are exposed to online social media, English remains at the forefront of
continuing advances in language technology research. Recently, several
study investigations on highly resourced languages, such as Arabic, German,
Hindi, and Italian, have been done. However, more research on making social
media platforms safer in low-resource Eurasian languages is still needed.
This special issue aims to gather original research articles that add to
the body of knowledge about the use of intelligent natural language systems
to build a safer social media environment in low-resource Eurasian
languages.
Topics Among the special issue's topics of interest are the following: -
• Early detection of radicalization in low-resource Eurasian languages
• Mechanisms for recognizing and preventing cyber predators in
low-resource Eurasian languages
• Identifying and resolving hate speech (abusive language, cyberbullying,
etc.) in low-resource Eurasian languages
• Simulated propagation and transmission of potentially harmful information
via social media in low-resource Eurasian languages
• Data collection and annotation methodologies for to safer social media in
low resourced Eurasian languages • Content moderation strategies in
low-resource Eurasian languages
• Cybersecurity and social media in low-resource Eurasian languages
• Fake news detection in low-resource Eurasian languages
* Important Dates • Submissions deadline: 10 February 2023 *
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 ,
bharathiraja.asokachakravarthi(a)universityofgalway.ie
Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en
<https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Pred…>
*STAFF SCIENTIST 1 IN BIOMEDICAL NATURAL LANGUAGE PROCESSING*
NATIONAL LIBRARY OF MEDICINE, BETHESDA, MARYLAND
*POSITION INFORMATION: *
The National Library of Medicine (NLM), Lister Hill National Center for
Biomedical Communication (LHNCBC) is recruiting for a Staff Scientist 1.
The position is in the Computational Health Research Branch (CHRB), which
is a part of the Intramural Research Program (IRP). NLM is one of 27
Institutes at the National Institutes of Health (NIH), part of the
Department of Health and Human Services (DHHS).
NLM IRP is looking for an outstanding candidate with extensive experience
in biomedical natural language processing (NLP) with commitment to the
biomedical informatics research in areas of fostering and applying
discoveries. The responsibilities of this position will include the
following activities:
· conducting research in the general area of linking electronic
medical data (focusing on NLP of narrative documentation) with
biological/genomic data;
· advancing text mining research, semantic parsing, and machine
learning methods;
· developing NLP methods for precision medicine;
· providing consultation related to informatics applications for
clinical decision support;
· establishing collaborations with external entities and institutions;
and,
· working with and mentoring students and post-doctoral fellows.
*POSITION REQUIRMENTS: *
The ideal candidate may or may not be a United States citizen and must have
a doctoral degree. We are looking for an individual with:
· a Ph.D. or equivalent in computer science, related disciplines
biomedical, or clinical informatics;
· experience and a track record in natural language processing
research applied to biomedicine documented by peer-reviewed publications;
· demonstrated ability to work closely and productively with other
research teams; and,
· demonstrated ability to initiate and successfully conduct research.
*FOREIGN EDUCATION:*
Applicants who have completed part or all their education outside of the
U.S. must have their foreign education evaluated by an accredited
organization to ensure that the foreign education is equivalent to
education received in accredited educational institutions in the United
States. We will only accept the completed foreign education evaluation. For
more information on foreign education verification, visit the National
Association of Credential Evaluation Services (NACES) website
<https://www.naces.org/>. Verification must be received prior to the
effective date of the appointment.
Employees, contractors, trainees, and volunteers providing healthcare or
services in support of healthcare (Healthcare Workforce) may be required to
receive a COVID-19 vaccine because they are expected to perform duties that
put them in contact or potential contact with patients. We may request
COVID-19 vaccination, and other vaccination documentation from Healthcare
Workforce personnel at any point during the onboarding process or at any
time during your employment with NIH. For more information on this
requirement, visit the Safer Federal Workforce
<https://www.saferfederalworkforce.gov/faq/vaccinations/> page on vaccines.
If you need a COVID-19 vaccine, please visit Vaccines.gov
<https://www.vaccines.gov/>.
*SALARY/BENEFITS:*
This non-competitive appointment in the excepted service is like a federal
full-time position. Salary will be commensurate with experience and
qualifications. A full package of benefits
<https://www.opm.gov/healthcare-insurance/healthcare/enrollment/new-federal-…>
is available.
*HOW TO APPLY: *
Interested individuals should send a copy of their CV with the names of
three references along with a cover letter detailing research interests and
evidence of engagement in multi-disciplinary collaborative research to
maria.lugo(a)nih.gov. Please include the announcement number, NLM2452-2022,
in the cover letter. Do not include your birth date, social security number
(SSN), or personal photograph on application materials.
Review of applications will begin on September 29, 2022. Applications will
be accepted until the position is filled.
*COMMITMENT TO DIVERSITY AND EQUAL EMPLOYMENT OPPORTUNITY:*
NIH/NLM encourages the application and nomination of qualified women,
minorities, and individuals with disabilities. The U.S. government does not
discriminate in employment based on race, color, religion, sex (including
sexual orientation, pregnancy, and gender identity), national origin,
political affiliation, marital status, disability, genetic information,
age, membership in an employee organization, retaliation, parental status,
military service, or other non-merit factors. NIH/NLM will provide
reasonable accommodations to applicants with disabilities as appropriate.
If you require reasonable accommodation during any part of the application
and hiring process, please notify us.
*DHHS, NIH, and NLM are equal opportunity employers*