PhD position: Conversational Agents in Healthcare
The Department of Computer Science at Reykjavik University is looking for one PhD student to conduct research on conversational agents in healthcare under the supervision of Dr. Stefán Ólafsson. Conversational agents are increasingly becoming ubiquitous and being used in safety-critical domains. This project aims to investigate conversational agents for use in healthcare, research dialog management methods that take advantage of state-of-the-art NLP (e.g., large language models, AI planning, and reinforcement learning), and study aspects of their performance, such as safety, trustworthiness, and information credibility.
The ideal candidate should be knowledgeable about AI and language technologies and be passionate about research. The position is at the Center for Analysis and Design of Intelligent Agents (CADIA) and the Language and Voice Lab (LVL) at Reykjavik University in Iceland. The position is for three years. The starting monthly salary is 412,000 ISK (approximately 2,760 €) per month before taxes. The successful candidate will spend 20% of their employment working as a teaching assistant in selected courses.
Please visit https://jobs.50skills.com/ru/17159/ for more information. The application deadline is January 31st, 2023.
*** Apologies for cross-posting ***
Call for Papers
---------------
The 6th International Workshop on Health Natural Language Processing
(HealthNLP 2023)
ICHI 2023 workshop, June 10th, 2023, Houston, Texas, USA
https://www.healthnlp.info/
Submission deadline: March 10th, 2023
We cordially invite you to submit your contribution to the 6th
International Workshop on Health Natural Language Processing (HealthNLP
2023) that will take place June 10, 2023, in Houston, Texas, United States
of America (https://www.healthnlp.info/).
In the past few decades, we have seen exponential growth in clinical
narratives and biomedical articles. As a result, the natural language
process (NLP) specialized in biomedicine, which can unlock information from
text, receives great attention in the biomedical and clinical domains. Many
NLP methods and systems have been developed and have shown promising
results in various information extraction, information retrieval, and
knowledge discovery tasks. These methods and tools have also been
successfully applied to facilitate biomedicine research and support
healthcare applications. At the same time, the availability and use of
health information online have exploded through the use of social media,
question-answering and community discussion forums, health-related
websites, and biomedical articles. These present additional challenges and
opportunities for further development of new methodologies and applications.
This workshop aims to provide a unique, interdisciplinary, and high-quality
platform to bring together researchers and practitioners in healthcare
informatics working with health-related free text, and facilitate close
interaction among students, scholars, and industry professionals on health
NLP challenges.
Topics of interest
------------------
-
NLP methods: any original methodological research, including but not
limited to the following areas: language models and learning architectures
(e.g., transformers), deep learning, named entity recognition, word sense
disambiguation, relation extraction, syntactic parsing, semantic role
labeling, topic modeling, discourse analysis, question answering, and other
topics related to health NLP.
-
NLP software tools: any general or specific NLP tools for health data
such as clinical notes, social media, and biomedical literature.
-
NLP applications: uses of NLP for clinical research or operation,
examples including pharmacovigilance, clinical decision support,
phenotyping, predictive modeling, risk prediction, and social media mining.
Important Dates
---------------
-
Deadline for all submissions: March 10th, 2023
-
Notification of decisions: March 23rd, 2023
-
Deadline for camera-ready papers: March 30th, 2023
-
Workshop date: June 10th, 2023
Call for Submissions
--------------------
Template: https://www.ieee.org/conferences/publishing/templates.html
HealthNLP will accept both regular papers (4-8 pages, including references)
and abstracts (2 pages, including references). Regular papers will describe
mature ideas, where a substantial amount of implementation,
experimentation, or data collection and analysis has been completed.
Abstracts will describe innovative ideas, where preliminary implementation
and validation work have been conducted.
Submissions will be handled electronically through EasyChair (
https://easychair.org/my/conference?conf=ieeeichi2023). When submitting
papers, the authors must select the "HealthNLP Workshop" track. Papers must
adhere to the IEEE Proceedings Format (
https://www.ieee.org/conferences/publishing/templates.html) and be
submitted as a single PDF file. Before a submission is sent to the
reviewers, the program chairs will perform an assessment to determine the
best fit for the submission.
HealthNLP uses a single-blind two-layer peer-reviewing process. The final
decision will be made by the program chairs based on at least two reviews
by program committee members. All accepted submissions will be presented at
the workshop and published in the IEEE ICHI 2023 Proceedings (archived in
IEEE Xplore Digital Library).
Thank you,
Yifan Peng, Cornell University Medical College, US
Halil Kilicoglu, University of Illinois at Urbana-Champaign, US
HealthNLP 2023 Co-Chairs
Qingyu Chen
HealthNLP 2023 Publication Chair
*HALIL KILICOGLU*
*Associate Professor*
School of Information Sciences
University of Illinois at Urbana-Champaign
halil(a)illinois.edu
https://ischool.illinois.edu/people/halil-kilicoglu
Dear Colleagues
We are pleased to announce that the submission deadline for the research
topic *Natural Language Processing for Low-resource Languages and Domains*
in Frontiers in Artificial Intelligencehas been extended to *15th February
2023*.
We welcome any type of contributions related to low resource languages and
domains. These include, but are not limited to:
*• NLP Techniques for low-resource languages or domains*
• Domain adaptation
• Transfer learning
• Zero-shot and few-shot learning
• Meta learning
• Knowledge distillation
• Multilingual and cross-lingual learning
• Data augmentation
*• Dataset and Evaluation for low-resource languages or domains*
• New benchmarks
• evaluation mechanism
• Multimodal resources Language resources (multilingual/monolingual,
annotated/unannotated)
*• NLP Tasks for low-resource languages or domains*
• Bias, fairness and ethics in NLP
• Dialog and interactive systems
• Discourse and pragmatics
• Document analysis including text categorization, topic models, and
retrieval
• Natural language generation
• Information extraction, text mining, and question answering
• Language-inclusive multimodal integration
• Machine translation
• Multilinguality
• Phonology, morphology, and word segmentation
• Semantics
• Text classification
• Fake news and hate-speech detection
• Sentiment analysis and opinion mining
• Social media analysis: Twitter, blogs, discussion forums, and other
social media
• Speech, prosody, and spoken dialog
• Summarization
• Tagging, chunking, syntax, and parsing
For more information, visit
https://www.frontiersin.org/research-topics/28809/natural-language-processi…
Regards,
The topic editors
Matthew Purver, Surangika Ranathunga, Ravi Shekhar, Rishemjit Kaur,
En-Shiun Annie Lee
Surangika Ranathunga, PhD
Senior Lecturer,
Department of Computer Science and Engineering,
Faculty of Engineering,
University of Moratuwa
surangika(a)cse.mrt.ac.lk
**Apologies for cross-posting**
The University of Galway is recruiting a full-time, fixed term Postdoctoral
Researcher for 36 months. The successful candidate will join a diverse and
international research team on the PIETRA Project led by Professor Anne
O’Connor, School of Languages, Literatures and Cultures. The position is
funded by a European Research Council Consolidator Grant awarded to
Professor O’Connor and is available from March 2023 for 36 months.
*The project*
PIETRA is the first, large-scale, multilingual study of the translation
products and processes that underpin communication in global religion. The
project focuses on translation practices in the institution of the Catholic
Church and the multilingual communication of religious messages against a
background of technological change. It poses key research questions
relating to consistency of message in a large multilingual institution
across different languages, cultures and communicative formats. PIETRA
analyses the translation processes and products of the Catholic Church
across three different media (print, web and social media) and in two
different time periods to advance understandings of how multilingual
dissemination intersects with technological change and institutional
ideology. PIETRA combines the latest advances in empirical translation
research, data capture and analytics, with sociological and ethnographic
investigations to form a model for the analysis of the products and
processes of large-scale multilingual dissemination.
*The place*
This post will be based in the Moore Institute for Research in the
Humanities and Social Studies, located in the Hardiman Research Building at
the University of Galway. The researcher will work with the other members
of the research team and will benefit from dedicated training, mentorship
and networking activities. The research team will comprise of the PI, 2
postdoctoral researchers, 2 Research Assistants and 3 doctoral students.
*Job Description:*
The Postdoctoral Researcher (PDR) will work on the analysis of translations
published on digital platforms, social media and news websites by the
Catholic Church. The PDR will be responsible for the transcription and
pseudonymisation of interviews and will be involved in the dissemination of
project findings. This will include co-authoring and presenting conferences
papers; co-authoring peer-reviewed articles; coordinating social media
communications, and co-creating and organising dissemination events.
*Duties:*
- Using corpus analysis tools for the study of translations across
multiple platforms.
- Conducting ethnographic research on translation practices.
- Analysing the religious translation processes and output.
- Promotion of the project including project website and social media.
- Contribution to project progress reports and day to day running of the
project.
- Building collaborative relationships with researchers
- Attending core meetings
- Preparation of research work for publication, individually or in
collaboration with research team, and dissemination of results as
appropriate (peer-reviewed publications, conference presentations)
*Qualifications/Skills Required:*
*Essential Requirements:*
Suitable candidates must meet the following criteria
- PhD in Translation or related area (submitted before interview date)
- Excellent writing and communication skills
- Evidence of strong organizational and interpersonal skills
- English proficiency plus proficiency in at least two additional
languages (including one of the following: Polish, French,
Spanish, German,
Italian, Portuguese)
*Desirable Requirements:*
- Familiarity with religious translation/religious contexts
- Ability to work both collaboratively and independently
- Good evidence of quantitative research skills and/or experience
working with multilingual corpora/large data sets
- Experience of ethnographic research
- Peer-reviewed publication record
*Salary*: Point one of Postdoctoral Researcher scale, currently €41,026 per
annum (public sector pay policy rules pertaining to new entrants will apply)
*Start: *Earliest possible start date: March 2023
*Continuing Professional Development/Training*:
Researchers at University of Galway are encouraged to avail of a range of
training and development opportunities designed to support their personal
career development plans. University of Galway provides continuing
professional development support for all researchers seeking to build their
own career pathways either within or beyond academia. Researchers are
encouraged to engage with our Researcher Development Centre (RDC) upon
commencing employment – see HERE <http://www.nuigalway.ie/rdc> for further
information.
Further information on research and working at University of Galway is
available on Research at University of Galway
<http://www.nuigalway.ie/our-research/>
For information on moving to Ireland please see www.euraxess.ie
Further informal enquiries concerning this position may be made by
contacting Professor Anne O’Connor: anne.oconnor(a)universityofgalway.ie.
*To Apply*
Applications should include a covering letter outlining the applicant’s
suitability for the role, a sample of academic written work (e.g. published
article, thesis chapter), a CV, and the contact details of two referees.
Applications should be sent as one pdf file via email to
mooreinstitute(a)universityofgalway.ie
Please put the relevant reference number *University of Galway 315-22* in
the subject line of the email application.
*Closing date for receipt of applications is 5.00 pm, 11th January 2023.*
University of Galway reserves the right to readvertise or extend the
closing date for this post.
University of Galway is an equal opportunities employer.
All positions are recruited in line with Open, Transparent, Merit (OTM) and
Competency based recruitment.
--
Anna Furtado
Research Assistant to the PIETRA <https://pietra.universityofgalway.ie/>
Project
We are hiring in the CAISA Lab! (https://caisa-lab.github.io/team/,
https://twitter.com/CaisaLab)
The position is part of the BMBF project "Dynamically Social Natural
Language Processing for Online Discourse Analysis" (
https://caisa-lab.github.io/projects/).
In this project we develop novel representation methods for users +
language + network, to model the stance framing as well as the perception
of opinionated statements in a personalized manner.
The position is available for 2 years starting asap, with the foreseen
salary of E13-3 100% (about 3k Eur net/month, health and social insurance
included). Fluent scientific English is necessary, German not required.
Relevant experience in the field (e.g. some of: argument mining,
computational social science, misinformation analysis, discourse modeling)
is expected, as well as an ability to work independently and support more
junior researchers.
Apply here until Jan 29th:
https://stellenangebote.uni-marburg.de/jobposting/f66a7770882c529633774957a…
Or contact lucie.flek(a)uni-marburg.de for more information.
Hello All,
We are pleased to announce the call for industry day presentations at the
45th European Conference on Information Retrieval (ECIR'23). The Industry
Day of ECIR’23 will be held on Thursday 6th April 2022 in Dublin, Ireland,
immediately after the main conference program. Our goal is to bring
together product developers, information professionals and IR researchers
to promote knowledge sharing and innovation across academia and industry.
This year, our primary focus will be on *differences and challenges in
building dedicated information access systems versus building “search as a
service”*. Applications may cover search or recommendation systems in
various domains (e-commerce, vertical search, etc) and modalities (voice,
music, images, etc). Similarly to 2021, we also encourage presentations of
research works carried out during student internships and showing how
interns contributed impactfully on real-world products with innovative
ideas. Submissions about topics relevant to ECIR in general are encouraged.
- *Deadline for proposal submission*: January 30, 2023, 11:59 pm (AoE)
Please find submission instructions :
http://ecir2023.org/calls/industry.html
*Industry Day Chairs:*
- Nicolas Fiorini (Algolia, France)
- Isabelle Moulinier (Thomson Reuters, US)
Thank you!
Esraa Ali, Ph.D.
DCU
Publicity officer, ECIR 2023
--
*
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chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin
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*This e-mail and any
files transmitted with it are confidential and are intended solely for use
by the addressee. Read more here.
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*
--
<https://www.facebook.com/DCU/> <https://twitter.com/DCU>
<https://www.linkedin.com/company/dublin-city-university>
<https://www.instagram.com/dublincityuniversity/?hl=en>
<https://www.youtube.com/user/DublinCityUniversity>
Dear colleagues,
we would like to invite you to apply to our residential workshop on
identifying and analysing nostalgia using corpus & discourse methods.
Details:
Bertinoro (FC) 3-5 May 2023, accommodation and meals fully funded by
CoLiTec (Corpora Linguistics and Technology Resaerch Centre at DIT -
Dipartimento di Interpretazione e Traduzione - UniBo):
https://centri.unibo.it/colitec/en/events/two-day-workshop-using-corpus-dis…
.
Deadline for expression of interest: 16 Jan. 2023.
Best,
Anna
We are looking for postdocs to work with us on INDOMITA!
Online hate speech has resulted in actual hate crimes. INDOMITA offers automated assistance to combat online hate speech. However, hatred is complex. The offensiveness of a phrase is determined by social customs and user demographics: “Yo, a**hole!” is acceptable among friends but not strangers. Our user-centric approach takes into account social customs and user demographics to enhance detection of nuanced forms of hate speech. We will use three strategies: - modeling a complex problem with socio-demographic context, - automating counter-argument and responding to aggressive users, and - creating evaluation methods to analyze fairness, performance, and subjectivity. Our research will bridge language gaps and shed light on the relationships between online actors and online hatred. We are seeking candidates to work on NLP, machine learning, and neural networks for representation learning, natural language understanding, and hate speech detection in various languages and modalities.
Successful candidates will work closely with Prof. Dirk Hovy, Prof. Debora Nozza, and the MilaNLP lab.
Your profile:
• a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
• Excellent programming skills in Python. Additional languages (C++, R, etc) a plus.
• Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.
• Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.).
• Proven track record with publications in top-tier venues in the field of NLP/Computational Linguistics/ML.
Position Details:
• Starting date: March 1 2023, or any time thereafter
• Duration: 2 years, 1 year extension possible
• Deadline: 23rd January 2023
• Salary: 42k EUR p.a. (median salary Milan: 37k EUR) Applicants from outside Italy may qualify for a researcher taxation scheme
How to apply:
Go to the https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/Bocconi/Si… <https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/Bocconi/Si…> and search for “INDOMITA”, you will then have to click on “Apply online” for proceeding with the application.
Candidates should attach publications and a cover letter to their application. Online interviews will take place during February 2023.
Please contact dirk.hovy(a)unibocconi.it <mailto:dirk.hovy@unibocconi.it> if you have any question.
(apologies for cross posting)
The HiTZ center (https://hitz.ehu.eus) has received several large
multiyear grants to advance research in all aspects of NLP and Language
Technologies, with a focus on Large Language Models, common sense,
cross-lingual evaluation and low-resource languages, covering all
modalities including text, speech, images and videos. The center will
be offering a number of PhD, post-doctoral and research engineer
positions shortly with relatively flexible starting dates. Please
contact us if interested.
HiTZ is a reference research center on Language Technologies. Its aim is
to promote research, training, technological transfer and innovation in
Artificial Intelligence focused on language and speech. HiTZ is a leader
in research in Spain. It holds, among other, two Spanish Research Awards
in Computer Science, one of the 15 fellows that the main professional
association in the area (Association for Computational Linguistics) has
in Europe, and the award for the beTwo fully-funded 4-year PhD positions
at the HiTZ center, in the Basque Countryst PhD thesis in Artificial
Intelligence in Europe (EurAI 2020). The center is part of the
University of the Basque Country (https://ehu.eus), one of the top 400
universities in the world according to the Shanghai ranking. The center
has offices in San Sebastian and Bilbao (Basque Country, Spain), two
cities which rank at the top of places-to-visit and happiness rankings.
This message is specifically about two fully-funded positions that need
to be filled quickly.
The recipients of these PhD positions will be awarded a fully-funded
four-year scholarship, as well as additional funding for the payment of
doctoral tuition fees and research stays abroad. The PhD theses will be
carried out in the framework of the TRAIN (EXTREMELY LOW-RESOURCED
MACHINE TRANSLATION) and DeepKnowledge (DEEP LANGUAGE MODELS FOR
UNDERSTANDING AND REASONING WITH MULTILINGUAL CONTENT) projects.
The TRAIN project will explore techniques for machine translation
between languages with very scarce resources, including multimodal
translation from Spanish Sign Language (LSE) to written Spanish.
The main research objective of DeepKnowledge consists in advancing the
state-of-the-art towards NLU and NLG by generating and exploiting new
language models by taking into account a multitask and multimodal
objective during the pre-training, as well as exploring novel ways to
exploiting new large language models.
The official deadline for the two FPI pre-doctoral grants is 26 January,
but contact us asap if interested
(https://www.ehu.eus/es/web/ikerketaren-kudeaketa/-/fpi-2022).
If you are interested in these two positions (or any of the future
positions), please send your CV and academic transcript to Gorka Labaka
(gorka.labaka(a)ehu.eus).
--
Gorka Labaka
Dept. of Computer Languages and Systems
HiTZ Basque Center for Language Technologies - Ixa
University of the Basque Country (UPV/EHU)
Tel: (+34) 946 01 44 86
e-mail: gorka.labaka(a)ehu.eus