Dear colleagues,
Please, could you forward the job announcement below to all who might be
interested?
Job Title: Associate Professor of Linguistics with a Specialization in
Computational Linguistics
Location: Department of Linguistics and Scandinavian Studies, University of
Oslo, Norway
Application Deadline: 31st October 2023
URL: <
https://www.jobbnorge.no/en/available-jobs/job/243214/associate-professor-o…
>
Description:
A permanent position of Associate Professor of Linguistics with a
specialization in Computational Linguistics is available at the Department
of Linguistics and Scandinavian Studies, University of Oslo. (Associate
Professor is the entry-level in Norway; moreover, it is possible to apply
for promotion to Full Professor after starting the job.)
General linguistics at the department covers all the discipline’s core
areas (phonetics, phonology, morphology, syntax, semantics, pragmatics),
and a range of methodological approaches, including corpus linguistics and
experimental linguistics with a designated focus on the promotion of open
science. Resources at the department include the Socio-Cognitive Lab
(advanced audiovisual system, eye-trackers, and EEG), and we maintain close
ties with the TextLab (corpora, databases, and other digital resources) at
the faculty level.
The successful candidate is expected to initiate and lead research,
supervise PhD and MA candidates, and participate in teaching and in exam
setting and assessment at all levels. They are also expected to carry out
administrative duties in accordance with the needs of the Department.
Qualification requirements
- Ph.D. or equivalent academic qualifications within linguistics or another
discipline related to the profile of the position.
- Documented experience with research in computational linguistics that
engages with questions from general linguistics (e.g., phonetics,
phonology, morphology, syntax, semantics, pragmatics).
- An ability to contribute to teaching at all levels, including general
courses at the BA level and more advanced BA and MA courses in
computational linguistics.
- Documented pedagogical skills (either a teaching course certificate or
based on teaching experience) and a willingness to take active part in
academic leadership and administration.
- Documented potential for project acquisition
- Excellent English language skills, both spoken and written
- Personal suitability and motivation for the position
The following qualifications will count in the assessment of the applicants:
- Academic qualifications and academic production (publications, tools,
programs, libraries, etc) relevant to the advertised position, with
emphasis on works published within the last 5 years. Originality and
innovative thinking will be weighted more heavily than quantity.
- International peer-reviewed publications
- Experience with research projects
- Effort to promote open science, e.g. through open data, open materials,
shared code, or preregistrations.
- Potential to contribute to the long-term development of the academic and
research environment at the Department
- Pedagogical qualifications, documented results from teaching and
supervision, and disposition to inspire students
- Interest and ability in leadership and administration
- Ability to create and contribute to a positive environment for
collaboration
- Experience with and ability to build international networks
- Skills in popular dissemination, public outreach, and innovation
We offer:
- Salary NOK 615 000 - 714 000 per annum depending on qualifications
- A professionally stimulating working environment
- Membership in the Norwegian Public Service Pension Fund
- Attractive welfare benefits
- The opportunity to apply for promotion to a full professorship at a later
stage
For more information on the position and how to apply, see the full job
announcement at the application link provided below.
Web Address for Applications: <
https://www.jobbnorge.no/en/available-jobs/job/243214/associate-professor-o…
>
We would like to highlight the following three aspects of the job
announcement:
- in spite of the title (Associate Professor), this is an entry-level
position in the Norwegian system; newly minted PhDs are eligible to apply,
but their thesis must have been submitted by the application deadline,
which should be documented;
- the position is permanent/tenured;
- applicants are not required to know Norwegian (or another Scandinavian
language) by the start date, and the faculty provides support for learning
Norwegian after arriving in Oslo.
----
Apologies for cross-posting.
----
The Language and Dialogue Technologies (LanD) group at Fondazione Bruno
Kessler <https://www.fbk.eu/en/> (Trento, Italy) in conjunction with the ICT
International Doctorate School of the University of Trento
<https://iecs.unitn.it/> is pleased to announce the availability of the
following fully-funded PhD position:
*TITLE*: Strategies for improving Neural Dialogue Models generation
*DESCRIPTION*: Conversational agents are experiencing a surge in interest
given the continuous release of new models and the ever evolving scenario
of NLG. Still, the actual focus is mainly on model size, training data size
and prompt engineering. The interaction of these elements with related
aspects, such as decoding strategies, knowledge guided generation, data
quality, knowledge distillation -just to mention a few- can help in
improving the models, especially for better factuality, reducing
hallucination and increasing coherence among dialogue turns. The goal of
this PhD Thesis is to overcome the shortcomings of present large language
models by incorporating novel strategies for better generation.
*CONTACTS*: guerini(a)fbk.eu, jacopo.staiano(a)unitn.it
*COMPLETE DETAILS AVAILABLE AT*:
https://iecs.unitn.it/education/admission/call-for-application
*IMPORTANT DATES:* The deadline for application is May 30, 2023, hrs. 04:00
PM (CEST)
*FURTHER INFORMATION: *For preliminary interviews, and should you need
further information about the position, please contact Marco Guerini (
guerini(a)fbk.eu) and Jacopo Staiano (jacopo.staiano(a)unitn.it).
Best Regards,
Marco Guerini
--
Marco Guerini, PhD
www.marcoguerini.eu
CALL FOR PAPERS WITH ACCELERATED REVIEW
The Northern European Journal of Language Technology (NEJLT) invites
submissions of excellent research papers and letters on language
technology.
NEJLT invites authors of papers reviewed at ACL 2023 or ICML 2023 to
submit their manuscripts and reviews for accelerated processing. Articles
accepted in NEJLT are published in the ACL Anthology.
https://www.nejlt.org
NEJLT is a global journal that publishes peer-reviewed language
technology and computational linguistics research on all languages.
### What's special about NEJLT?
* Re-use reviews: We welcome revised manuscripts submitted with prior
reviews to a fast-track review process. See:
https://www.nejlt.org/authorinfo/#sticky
* Customised review: Specify a "type" for your paper at submission, that
determines how your paper is reviewed
* "Letter" format submission: Comments, positions, letters, or small
experiments also welcomed as very short articles
* Free to submit, free to publish, free to read
### SUBMISSION TYPES
NEJLT accepts (1) full articles, and (2) letters.
(1) Full articles are to be given a subtype. The types available at NEJLT
are:
* Computationally-aided linguistic analysis
* NLP engineering experiment paper
* Reproduction paper
* Resource paper
* Position paper
* Survey Paper
Other works are welcome - contact the editor.
(2) NEJLT Letters on computational linguistics and natural language
processing may be up to six page words long, and are given a special,
dedicated review process.
Submissions directly to NEJLT via the journal website are welcome at any
time.
More information about submission types and information for authors is at:
https://www.nejlt.org/authorinfo/
### SCOPE
NEJLT invites manuscripts from anywhere in the world that present excellent
research in the field of language technology and natural language
processing. Work on all languages is welcome.
* Language focus:
* Global; no specific focus. Research on all and any languages is invited.
* Topics of interest: including but not limited to
* Cognitive Modeling and Psycholinguistics
* Computational Social Science and Social Media
* Dialogue and Interactive Systems
* Discourse and Pragmatics
* Efficient NLP
* Ethics and NLP
* Generation of language
* Information Extraction
* Information Retrieval and Text Mining
* Interpretability and Analysis of Models for NLP
* Language Grounding to Vision, Robotics and Beyond
* Language Modelling
* Theory and Formalism in NLP (Linguistic and Mathematical)
* Machine Learning for NLP
* Machine Translation
* Model Preferences and Behaviors
* NLP Applications
* Phonology, Morphology and Word Segmentation
* Question Answering
* Resources and Evaluation
* Semantics: Lexical
* Semantics: Sentence, Paragraph, and Discourse level
* Semantics: Textual Inference and Other Areas of Semantics
* Sentiment Analysis, Stylistic Analysis, and Argument Mining
* Speech and Multimodality
* Summarization
* Syntax: Tagging, Chunking and Parsing
The editor-in-chief of NEJLT is appointed by the North European Association
for Language Technology. This geographical connection gives the journal its
name, though the journal itself does not have a Northern European language
focus.
More on NEJLT's scope is at: https://www.nejlt.org/
### REVIEWING
NEJLT is committed to rapid and fair reviewing. NEJLT strives to preserve
anonymity throughout the review process. The journal also invites revised
resubmissions from select events, including the reviews from those events,
including ACL, EMNLP, NAACL, EACL, AACL, and NeurIPS. For details, see:
https://www.nejlt.org/review/
### ABOUT THE JOURNAL
NEJLT publishes in the field of language technology, i.e. Natural Language
Processing, Computational Linguistics, and related topics. Research focused
on any natural language is invited.
NEJLT invites both journal articles and academic letters, and has a
multi-iteration reviewing process, where revisions are a possibility.
The reviewing philosophy of the journal is to minimise reviewing biases,
and also to provide constructive, helpful feedback during the review
process.
NEJLT is a global journal with global focus. The journal’s publisher is
located in Northern Europe, hence its name, and supports the journal
without charge, enabling open access publication with no costs. NEJLT is
indexed by many publication indexing services, and ranked by many national
bibliographic ranking systems.
NEJLT accepts submissions continuously all year round.
More at: https://www.nejlt.org/about/
### ORGANIZATION
* Editor-in-Chief:
* Leon Derczynski, ITU Copenhagen; ld(a)itu.dk
* Editorial board:
* Isabelle Augenstein, University of Copenhagen
* Nikolaos Aletras, University of Sheffield
* Francesco Barbieri, Snap
* Jasmijn Bastings, Google
* Rachel Bawden, INRIA, Paris
* Yonatan Belinkov, Technion
* Emily M. Bender, University of Washington
* Nicoletta Calzolari, Institute for Computational Linguistics, NRC Italy
* Christos Christodoulopoulos, Amazon
* Manuel R. Ciosici, USC Information Sciences Institute
* Miryam de Lhoneux, University of Copenhagen
* Lucia Donatelli, Saarland University
* Yanai Elazar, University of Washington
* Angela Fan, Meta
* Yang Feng, Chinese Academy of Sciences
* Mark Fishel, University of Tartu
* Hila Gonen, Meta / University of Washington
* Eva Hajičová, Charles University
* Yufang Hou, IBM
* Zhijing Jin, Max Planck Institute & ETH Zurich
* Marco Kuhlmann, Linköping University
* Sasha Luccioni, Hugging Face
* Benjamin Marie, 4i
* Yuji Matsumoto, NAIST/Riken AIP
* Nafise Sadat Moosavi, The University of Sheffield
* Joakim Nivre, Uppsala University
* Debora Nozza, Bocconi University
* Ellie Pavlick, Brown University
* Verena Rieser, Heriot Watt University
* Kay Rottmann, Amazon Alexa AI
* Vered Shwartz, Allen Institute for Artificial Intelligence (AI2)
* Thamar Solorio, University of Houston
* Song Linfeng, Tencent
* Mark Steedman, University of Edinburgh
* Dhanasekar Sundararaman, Microsoft
* Jörg Tiedemann, University of Helsinki
* Emiel van Miltenburg, Tilburg University
* Bonnie Webber, Universty of Edinburgh
* Adina Williams, Meta
* Steve Wilson, Oakland University
NEJLT's editorial team is detailed at: https://www.nejlt.org/team/
### PUBLICATION AND OPEN ACCESS
NEJLT is full open access. This means that accepted papers may be
downloaded directly from the web and will not be charged for. There are
also no fees for submitting or for publishing. There are no plans to
collect fees at any point in the future at any part of the NEJLT process.
Papers are published under the CC-BY 4.0 license.
NEJLT is a free Open Access Gold journal.
Articles published in NEJLT also appear in the ACL Anthology:
https://aclanthology.org/venues/nejlt/
The journal is published by Linköping University press. The editor-in-chief
of NEJLT is appointed by the North European Association for Language
Technology.
More details on NEJLT policies at: https://www.nejlt.org/policies/
### CONTACT
Please see www.nejlt.org for further information. We look forward to
receiving your manuscripts.
** Job openings: PhD studentships on meaning variation in NLP **
Utrecht University, The Netherlands
The Natural Language Processing (NLP) group in the Computing and
Information Sciences department of Utrecht University (UU) is looking
for young researchers who want to jump-start their career in AI / NLP by
taking up a PhD position.
Two four-year positions are available now. They are part of the AiNed
project “Dealing with Meaning Variation in NLP”, which will be led by
Prof. Massimo Poesio. Vacancies for 4 further PhD positions on this
project will become available over the coming 1-2 years. The overall aim
of the project is to allow NLP models to make better sense of variations
in the ways that different speakers and readers interpret language. The
plan is for each of the 6 PhD projects to be supervised by one
researcher from the NLP group and one from UU's Institute for Language
Sciences.
PhD PROJECT 1: Formal semantics for vagueness in interpretation
This project is concerned with vagueness, a pervasive phenomenon in
which the meanings of words have imprecisely defined boundaries, which
are applied differently in different contexts and by different people
(for example when the air temperature is described as "warm"). This PhD
project will study mathematical and computational models of uncertainty
and vagueness. In recent years, the theoretical literature in this area
has shifted away from 2-valued towards multi-valued models, but these
models have rarely been tested with real data. This PhD project will use
existing “big” datasets (which are available in the weather domain, for
example) to find out which models predict and explain the data best.
The successful candidate will hold a Master’s degree in an area
relevant to this project; this could be Artificial Intelligence,
Computational Cognitive Science, Computing Science, or Linguistics. A
good mastery of NLP and Excellent English communication skills (oral and
written) is essential. We would also like you to take a strong interest
in multi-valued and other models of natural language meaning, and in
machine learning.
PhD PROJECT 2: Learning under disagreements between annotators
In NLP, human annotators are frequently needed to tell researchers what
a given expression “means”, by assigning the expression a label. When
human judges disagree about a label (e.g., whether an utterance is
offensive or not), it is important that these disagreements be taken
into account, as opposed to simply aggregating the values e.g., using
reconciliation or majority voting. Such disagreements are now generally
recognized to provide information rather than being noise.
This PhD project will investigate whether the differences between
various sources of disagreement (e.g., noise, ambiguity, and subjective
bias) can be detected using statistical models (e.g. cross-entropy,
Kullback-Leibler divergence). Last but not least, it will investigate to
what extent variations in one person’s verbal behaviour can be
understood mathematically in the same way as variations between
different speakers. The proposed research would ideally be carried out
by someone well versed in information theory and the design and analysis
of experiments with human participants.
The successful candidate will hold a Master’s degree in an area
relevant to this project; this area could be Artificial Intelligence,
Computational Cognitive Science, Computing Science, Linguistics, or
Statistics. A good mastery of statistics and deep learning is essential;
experience with NLP would be beneficial. A good mastery of NLP and
Excellent English communication skills (oral and written) is essential.
You take a strong interest in at least two of the three following
areas: (1) machine learning, (2) natural language, and (3) experimental
psychology.
Further information about these vacancies can be found at
PhD position in Natural Language Processing: statistical models of
disagreement between annotators (0.8 – 1.0 FTE) - Working at Utrecht
University - Utrecht University (uu.nl)
<https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po…>
PhD position in Natural Language Processing: verbal expression of
quantities (0.8 - 1.0 FTE) - Working at Utrecht University - Utrecht
University (uu.nl)
<https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po…>
Deadline for application is 29 May 2023. We’re looking for someone to
start as soon as possible after the recruitment process is concluded but
we understand that it will normally take a few months before the
candidate will be ready to start.
Applications should be made through the University's site (see links above).
For further information, please contact:
- Prof. Massimo Poesio (m.poesio AT uu.nl).
- Prof. Kees Van Deemter (c.j.vandeemter AT uu.nl).
We are inviting applications for one PhD position (3 years) and a
postdoctoral position (funding available 09/2023-01/2026)of acomputer
scientist,computational linguistor psycholinguist,who has experience
withor interest incognitive modelling for language processing (e.g.,
Bayesian models, and/or modelsusing cognitive architectureslike ACT-R).
Thepositions will be funded as part of theERC Starting Grant
"Individualized Interaction in Discourse" ofProf. Vera Demberg, at
Saarland University. The goal of the position is todevelop models that
capture individualdifferences in discourse and pragmatic processing.
The candidatewill conduct research on the design andimplementation of
cognitive models of language processingat the level of discourse and/or
pragmatic processing. These models should capture individual differences
in cognitionsuch as working memory, language experience, background
knowledge, theory-of-mind abilities etc.
The successful applicant must have excellent spoken and
writtenproficiency inEnglish, and have a background in natural language
processing or cognitive modelling.
Applicants are requested to submit their application, including a cover
letter that specifies why you would like to workon this topic and what
qualifies you for it, an academic CV, a list of academic publications,
yourBSc/ MSc / PhDthesis (ora current draft), copies of academic degree
certificates and names of two potential references.
For application to the Postdoctoral position, please quote opening
number W2290, for the PhD position please quote opening number W2289.
The applicationsshould be sent via emaildirectly to Prof. Vera Demberg:
vera(at)coli.uni-saarland.de
*The****application deadline is****May****2**1**st**, 202**3*
Saarland University is one of the leading centres for computer science
and computational linguistics in Europe, and offers adynamic and
stimulating research environment.The groupis affiliated with both
theDepartment of Computer Scienceand withtheDepartment of Language
Scienceand Technology.
Both departments are part of the Saarland Informatics Campus, which
brings together 800 researchers and 2000 students from 81countries. We
collaborate closely with the university's Department of Computer
Science, the Max Planck Institute for Informatics,the Max Planck
Institute for Software Systems, and the German Research Center for
Artificial Intelligence (DFKI).
Our researchers and students come from all over the world, and our
primary working language is English.
The Saarland University is an equal opportunities employer. In
accordance with its policy of increasing the proportion of womenin this
type of employment, the University actively encourages applications from
women. Women are given preference in cases ofequal suitability, ability
and professional performance.
Applications from severely disabled persons will be given preferential
consideration in the event of equal suitability. Part-timeemployment is
generally possible.
We welcome applications regardless of gender,nationality, ethnic and
social origin, religion/belief, disability, age, and sexualorientation
and identity.
Pay grade classification is based on the particular details of the
position held and the extent to which the applicant meetstherequirements
of the pay grade within the TV-L salary scale.
Unfortunately, costs for attending an interview at Saarland University
cannot be reimbursed in principle.
When you submit a job application to Saarland University you will be
transmitting personal data.Please refer to our privacy noticefor
information on how we collect and process personal data in accordance
with Art.13 of theDatenschutz-Grundverordnung.Bysubmitting your
application you confirm that you have taken note of the information in
the Saarland University privacy notice.************
--
Prof. Dr. Vera Demberg
Computer Science and Computational Linguistics
Saarland Informatics Campus
Saarland University
Campus C7.2 Room 3.02
D-66123 Saarbrücken
Phone: +49-681-302-70024
Sekretariat: +49-681-302-70025
Fax: +49-681-302-70026
--
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Student Research Workshop co-located with ACL 2023 in Toronto, Canada.
***Paper Submission Deadline: May 5th, 2023***
The Student Research Workshop
The ACL 2023 Student Research Workshop (SRW) is a forum to bring together
students investigating various areas of Computational Linguistics, Natural
Language Processing and Machine Learning. The workshop provides the
opportunity for participants to present their work and to receive
mentorship and valuable feedback from the international research community.
The workshop's goal is to aid students at multiple stages of their
education, including undergraduate, MSc/MA, junior and senior PhD students,
in getting familiar with conducting and presenting their research.
General Rules for Submission
We invite papers in two different categories:
-
Research Papers: Papers in this category can describe completed work, or
work in progress with preliminary results. For these papers, the first
author **MUST BE** a current student. Topics of interest for the SRW are
the same as for the main ACL 2023 conference:
<https://www.2022.aclweb.org/calls>
https://2023.aclweb.org/calls/main_conference/
-
Thesis Proposals: This category is appropriate for PhD students who have
decided on a thesis topic and wish to get feedback on their proposal and
broader ideas for their continuing work.
Submissions (in both categories) may either be archival or non-archival,
based on the wish of the authors. All archival papers will be published in
the ACL 2023 SRW Proceedings. Non-archival papers may be submitted to any
venue in the future except for another SRW.
The submission link is available on our website
<https://acl2023-srw.github.io/>. Please read the guidelines carefully.
Why Submit to ACL SRW?
There are many good reasons to submit to the ACL SRW, such as:
-
Mentorship program: ACL SRW provides a unique opportunity for students
to receive constructive feedback and to improve their work through a
pre-submission mentorship program.
-
Improving your publication record: publishing a paper as an
undergraduate or as a MSc/MA student is beneficial when applying for a PhD
program. Publishing a paper in an ACL SRW workshop can be really helpful
for improving students’ publication record.
-
Explorative Studies: We encourage the submission of studies with
positive and negative results providing insights on why and in which
scenarios a particular method succeeds and fails.
All accepted papers and thesis proposals will be presented either as oral
presentations or during poster sessions, which will give students an
opportunity to interact with and to present their work to a large and
diverse audience, including top researchers in the field and assigned
mentors.
Important Dates
-
Paper submission deadline: May 5, 2023
-
Acceptance notifications: May 30 2023
-
Camera-ready deadline: June 6, 2023
-
ACL 2023 conference dates: July 10-12, 2023
All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth").
Submission Requirements
We accept both archival submissions (which will be included in the
conference proceedings) and non-archival submissions (which will be
presented at the workshop but will not be included in the proceedings).
All submissions (archival and non-archival) must follow the anonymity
period and the restrictions of the main conference.
Long papers consist of up to eight (8) pages of content, plus an unlimited
number of pages for references and supplementary material like the
appendix. Upon acceptance, papers will be given one additional page of
content (up to 9 pages).
Short papers consist of up to four (4) pages of content, plus an unlimited
number of pages for references and supplementary material like the
appendix. Upon acceptance, papers will be given one additional page of
content (up to 5 pages).
Authors are encouraged to use the additional page to address reviewers’
comments.
Paper submissions must use the official ACL style templates, which are
available as an Overleaf template
<https://www.overleaf.com/read/crtcwgxzjskr> and also downloadable directly
<https://github.com/acl-org/ACLPUB/tree/master/templates> (Latex and Word).
We strongly encourage participants to use the Latex template. All
submissions must be in PDF format and must conform to the official style
guidelines, which are contained in these template files. The review process
will be double-blind, and thus all submissions must be anonymized.
The SRW invites papers on topics related to computational linguistics,
including but not limited to the following:
-
Computational Social Science and Social Media
-
Dialogue and Interactive Systems
-
Discourse and Pragmatics
-
Ethics and NLP
-
Information Extraction
-
Information Retrieval and Text Mining
-
Interpretability and Analysis of Models for NLP
-
Language Grounding to Vision, Robotics, and Beyond
-
Linguistic Theories, Cognitive Modeling, and Psycholinguistics
-
Machine Learning for NLP
-
Machine Translation and Multilinguality
-
NLP Applications
-
Phonology, Morphology, and Word Segmentation
-
Question Answering
-
Resources and Evaluation
-
Semantics: Lexical
-
Semantics: Sentence-level Semantics, Textual Inference, and Other Areas
-
Sentiment Analysis, Stylistic Analysis, and Argument Mining
-
Speech and Multimodality
-
Summarization
-
Syntax: Tagging, Chunking, and Parsing
Contact Information
To contact the organizers of the workshop, please email us at:
acl2023-srw(a)googlegroups.com.
–
Vishakh, Yao and Gisela
ACL 2023 - SRW Organizers <https://acl2023-srw.github.io/>
Apologies for cross posting
Third Workshop on Language Technology for Equality, Diversity and Inclusion
(LT-EDI-2023) at RANLP 2023
Link: https://sites.google.com/view/lt-edi-2023/
Equality, Diversity and Inclusion (EDI) is an important agenda across every
field [1] throughout the world. Language as a major part of communication
should be inclusive and treat everyone with equality. Today’s large
internet community uses language technology (LT) and has a direct impact on
people across the globe. EDI is crucial to ensure everyone is valued and
included, so it is necessary to build LT that serves this purpose. Recent
results have shown that big data and deep learning are entrenching existing
biases and that some algorithms are even naturally biased due to problems
such as ‘regression to the mode’. Our focus is on creating LT that will be
more inclusive of gender [2], racial [3], sexual orientation [4], persons
with disability [5,6]. The workshop will focus on creating speech and
language technology to address EDI not only in English, but also in less
resourced languages.
The broader objective of LT-EDI-2023 will be
-
To investigate challenges related to speech and language resource
creation for EDI.
-
To promote research in inclusive LT.
-
To adopt and adapt appropriate LT models to suit EDI.
-
To provide opportunities for researchers from the LT community around
the world to collaborate with other researchers to identify and propose
possible solutions for the challenges of EDI.
Our workshop theme focuses on being more inclusive and providing a platform
for researchers to create LT of a more inclusive nature. We hope that
through these engagements we can develop LT tools to be more inclusive of
everyone, including marginalized people.
Call for Papers:
Our main theme in this workshop is equality, diversity, and inclusivity in
LT. We invite researchers and practitioners to submit papers reporting on
these issues and datasets to avoid these issues. We also encourage
qualitative studies related to these issues and how to avoid them. LT-EDI-
2023 welcomes theoretical and practical paper submissions on any languages
that contribute to research in Equality, Diversity and Inclusion. We will
particularly encourage studies that address either practical application or
improving resources.
Topics of interest include, but are not limited to:
-
Data set development to include EDI
-
Gender inclusivity in LT
-
LGBTQ+ inclusivity in LT
-
Racial inclusivity in LT
-
Persons with disability inclusivity in LT
-
Speech and language recognition for minority groups
-
Unconscious bias and how to avoid them in natural language processing,
machine learning and other LT technologies.
-
Tackling rumors and fake news about gender, racial, and LGBTQ+
minorities.
-
Tackling discrimination against gender, racial, and LGBTQ+ minorities.
Important dates (will be changed according to guidelines from RANLP)
-
Workshop paper due: 10 July 2023
-
Notification of acceptance: 5 August 2023
-
Camera-ready papers due: 20 August 2023
-
Workshop dates: 7 September 2023
Submission:
Papers must describe original, completed/ in progress and unpublished work.
Each submission will be reviewed by three program committee members.
Accepted papers will be given up to 9 pages (for full papers), 5 pages (for
short papers and posters) in the workshop proceedings, and will be
presented as oral paper or poster. Papers should be formatted according
to the RANLP 2023 style-sheet, which is provided on the website. Please
submit papers in PDF format.
We are seeking submissions under the following category
-
Full papers (8 pages)
-
Short papers (work in progress, innovative ideas/proposals, research
proposal of students: : 4 page)
-
Demo (of working online/standalone systems: : 4 page)
Both long and short papers must follow the RANLP 2023 two-column format,
using the supplied official style files. The templates can be downloaded in
Style Files and Formatting. Please do not modify these style files, nor
should you use templates designed for other conferences. Submissions that
do not conform to the required styles, including paper size, margin width,
and font size restrictions, will be rejected without review. Verification
To guarantee conformance to publication standards, we will be using the ACL
Pubcheck tool (https://github.com/acl-org/aclpubcheck). The PDFs of
camera-ready papers must be run through this tool prior to their final
submission, and we recommend its use also at submission time.
Organisers
-
Bharathi Raja Chakravarthi, School of Computer Science, University of
Galway, Ireland.
-
B. Bharathi, Department of CSE, SSN College of Engineering, Chennai,
India
-
Josephine Griffith, School of Computer Science, University of Galway,
Ireland.
-
Kalika Bali, Microsoft Research India
-
Paul Buitelaar, University of Galway, Ireland.
Associated Shared Task
Speech Recognition for Vulnerable Individuals in Tamil-LT-EDI-2023 (Tamil)
Link: https://codalab.lisn.upsaclay.fr/competitions/11094
Homophobia/Transphobia Detection in social media comments:-LT-EDI-2023
(English, Tamil, Hindi, Spanish, Malayalam)
Link: https://codalab.lisn.upsaclay.fr/competitions/11077
Hope Speech Detection for Equality, Diversity, and Inclusion- LT-EDI-RANLP
2023 (English, Hindi, Bulgarian, Spanish)
Link: https://codalab.lisn.upsaclay.fr/competitions/11076
Detecting Signs of Depression from Social Media Text - LT-EDI@RANLP 2023
(English)
Link: https://codalab.lisn.upsaclay.fr/competitions/11075
References
[1]
https://aim.gov.ie/wp-content/uploads/2016/06/Diversity-Equality-and-Inclus…
[2]Kiritchenko, S. and Mohammad, S., 2018, June. Examining Gender and Race
Bias in Two Hundred Sentiment Analysis Systems. In Proceedings of the
Seventh Joint Conference on Lexical and Computational Semantics (pp. 43-53).
[3]Sap, M., Card, D., Gabriel, S., Choi, Y. and Smith, N.A., 2019, July.
The risk of racial bias in hate speech detection. In Proceedings of the
57th Annual Meeting of the Association for Computational Linguistics (pp.
1668-1678).
[4]Wu, H.H. and Hsieh, S.K., 2017, November. Exploring Lavender Tongue from
Social Media Texts [In Chinese]. In Proceedings of the 29th Conference on
Computational Linguistics and Speech Processing (ROCLING 2017) (pp. 68-80).
[5]Hutchinson, Ben, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster,
Yu Zhong, and Stephen Denuyl. "Unintended machine learning biases as social
barriers for persons with disabilities." ACM SIGACCESS Accessibility and
Computing 125 (2020): 1-1.
[6]Hutchinson, Ben, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster,
Yu Zhong, and Stephen Denuyl. Social Biases in NLP Models as Barriers for
Persons with Disabilities, Proceedings of ACL 2020, ACL
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/bharathirajaasokachak…
CLASP Centre for Linguistic Theory and Studies in Probability, at University of Gothenburg has several (2-3 year) postdoctoral positions in computational linguistics and/or natural language processing.
Application deadline on June 1, 2023 23:59 (CEST, UTC+2) For details please see here https://www.gu.se/en/work-at-the-university-of-gothenburg/vacancies
If you are interested in the project on grounding language in vision and/or robotics, please contact me at simon.dobnik(a)gu.se
Project description: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89…
I am looking for candidates with a strong background in computational linguistics, natural language processing and machine learning, ideally with experience with computational semantics, language modelling and working with multi-modal representations.
Best regards,
Simon
—
Simon Dobnik
Professor of Computational Linguistics
CLASP & FLoV, University of Gothenburg
https://www.gu.se/en/about/find-staff/simondobnik
SEBD 2023 - Taste of Time Award
31st Symposium on Advanced Database System
Call for Nominations
Nominations Due: 5 June 2023
Nomination Form: https://forms.gle/e8oXRbSa1aHiAWJt6
SEBD 2023 Web site: https://sebd2023.dei.unipd.it/
------------------------------------
## THE AWARD ##
SEBD (Symposium on Advanced Database System) is the major annual event of
the Italian database research community. It is thought of as a gathering
forum to meet, discuss, and exchange experiences among all people from
academia and industry who are interested in database systems and in all
their broad range of applications.
SEBD 2022 marked the 30th edition, a remarkable achievement, representing a
tangible trace of the scientific contributions of the Italian database
community, its evolution over a long period of time, and its liveliness. To
celebrate this achievement, SEBD 2022 introduced the “Taste of Time” Award
(TTA) whose purpose is to recognize seminal contributions and to retrace
the history of the Italian database community by selecting significant (AND
TASTY 😁) papers from past editions of SEBD.
SEBD 2023 continues this brand new tradition and calls for nominations for
the TTA 2023!
The ultimate goal of the TTA is to keep the tradition of the SEBD community
alive, to contextualize the most important research lines and make sense of
their evolution, and to inspire new generations of researchers by
discussing how key challenges have been addressed, which ones are still
open, and what can follow-up from them.
## CRITERIA ##
The SEBD Steering Committee will select papers based on the following
impact criteria
-
impact within (a subarea of) the database research community
-
impact outside of the database research community
-
impact on the non-research community
Papers eligible for the TTA are either original research published at SEBD
or extended abstracts of papers published in main venues for the database
community.
In both cases evidence about the impact of the paper (or related paper, in
case of extended abstracts) has to be provided, e.g., follow-up works
(papers, systems, …), new theories and models, social and/or industrial
impact, citations, …
The TTA will consider, each year, a scrolling window of 3 years, starting
from the first SEBD 1993, from which to select papers for the TTA.
The SEBD community is very welcome to nominate papers deemed deserving of
the TTA. Eligible papers for this round are those published in
-
2nd SEBD 1994: Rimini, Italy
https://dblp.uni-trier.de/db/conf/sebd/sebd1994.html
-
3rd SEBD 1995: Ravello, Italy
https://dblp.uni-trier.de/db/conf/sebd/sebd1995.html
-
4th SEBD 1996: Pisa, Italy
https://dblp.uni-trier.de/db/conf/sebd/sebd1996.html
## NOMINATION PROCEDURE ##
Nominators are asked to fill in the following form
https://forms.gle/e8oXRbSa1aHiAWJt6
by **5 June 2023** at the latest.
The form asks for contact details of the nominator, plus the title and
authors of the nominated paper and a statement explaining the motivation
for the nomination.
Each nominator can nominate more than one paper, filling in the form once
for each nominated paper. Similarly, the same paper can be nominated by
more than one nominator. Nominators cannot belong to the same research
group as nominated papers, which also excludes self-nominations.
## QUESTIONS AND FURTHER INFORMATION ##
For any questions and/or additional information, please contact Maristella
Agosti <maristella.agosti(a)unipd.it>
--
Stefano Marchesin, PhD
Postdoctoral Researcher
Information Management Systems (IMS) Group
Department of Information Engineering
University of Padua
Via Gradenigo 6/a, 35131 Padua, Italy
Home page: http://www.dei.unipd.it/~marches1/
--
Apologies for cross-posting.
--
Have you recently completed or expect very soon an MSc or equivalent degree
in computer science, artificial intelligence, computational linguistics,
engineering, or a related area? Are you interested in carrying out research
on automatic translation during the next few years? Are you excited to
spend a part of your life in a pleasant city in the heart of the Italian
Alps?
WE ARE LOOKING FOR YOU!!!
The Machine Translation <https://ict.fbk.eu/units/hlt-mt/> (MT) group
at Fondazione
Bruno Kessler <https://www.fbk.eu/en/> (Trento, Italy) in conjunction with
the ICT International Doctorate School of the University of Trento
<https://iecs.unitn.it/> is pleased to announce the availability of the
following fully-funded PhD position:
TITLE: Integrative Machine Translation
DESCRIPTION:
The advent of foundation models has introduced unprecedented opportunities
in all areas of natural language processing. Automatic translation (be it
speech or text translation) is no exception, with a wide variety of
language directions, domains and application scenarios whose coverage is no
longer a mere utopia. Although conditions today are more favourable than in
the past, open challenges still exist in terms of fully exploiting the
power of the available models, increasing their flexibility to integrate
diverse input types, or constraining the output to meet specific
application requirements. Open questions include: how to feed non-symbolic
models with symbolic information describing the context of a translation
request? How to supply meta-information about target users? How to
integrate model capabilities with external information from structured
knowledge bases? How to condition the output to specific target
applications? This PhD aims to explore state-of-the-art solutions to tackle
these challenges, with a special focus on the integration of multimodal
information (e.g. contextual information supplied as visual cues),
user-specific constraints (e.g. for gender/formality control), and
application-specific constraints (e.g. structural requirements as in the
case of video subtitling).
CONTACTS: negri(a)fbk.eu, bentivo(a)fbk.eu
COMPLETE DETAILS AVAILABLE AT:
https://iecs.unitn.it/education/admission/call-for-application
IMPORTANT DATES:
The deadline for application is May 30, 2023, hrs. 04:00 PM (CEST)
Prospective candidates are strongly invited to contact us in advance for
preliminary interviews. Precedence for interviews will be given to
short-listed candidates that will send us a complete CV via email (
negri(a)fbk.eu, bentivo(a)fbk.eu) by May 18, 2022.
Candidate profile
The ideal candidate must have recently completed or expect very soon an MSc
or equivalent degree in computer science, artificial intelligence,
computational linguistics, engineering, or a closely related area. In
addition, the applicant should:
-
Have an interest in Machine and Speech Translation
-
Have experience in deep learning and machine learning, in general
-
Have good programming skills in Python and experience in PyTorch
-
Enjoy working with real-world problems and large data sets
-
Have good knowledge of written and spoken English
-
Enjoy working in a closely collaborating team
Working Environment
The doctoral student will be employed at the MT group at Fondazione Bruno
Kessler, Trento, Italy. The group (about 10 people including staff and
students) has a long tradition in research on machine and speech
translation and is currently involved in several projects. Former students
are nowadays employed in leading IT companies in the world.
Benefits
Fondazione Bruno Kessler offers an attractive benefits package, including a
flexible work week, full reimbursement for conferences and summer schools,
a competitive salary, an excellent team of supervisors and mentors, help
with housing, full health insurance, the possibility of Italian courses,
and sporting facilities.
Further Information
For preliminary interviews, and should you need further information about
the position, please contact Matteo Negri (negri(a)fbk.eu) and Luisa
Bentivogli (bentivo(a)fbk.eu).
Best Regards,
Matteo Negri
--
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