The NLLP Workshop 2023<https://nllpw.org/workshop/> will take place on 7 December 2023 and will be co-located with the EMNLP 2023<https://2023.emnlp.org/> conference in Singapore.
We will be accepting direct submissions, papers submitted to ARR and EMNLP rejected papers. Submission link is here<https://softconf.com/emnlp2023/nllp2023/>
Important dates
* Submission deadline ― 18 September 2023
* Notification ― 6 October 2023
* Submission of EMNLP papers with reviews ― 10 October 2023
* ARR Committment deadline ― 10 October 2023
* ARR and EMNLP notification ― 17 October 2023
* Camera ready due ― 20 October 2023
* Presentation due ― 1 December 2023
* Workshop ― 7 December 2023
All deadlines are 11.59pm UTC -12h
Call for papers
Goal
Following the success of the first four editions of the NLLP workshop (NAACL 2019, KDD 2020, EMNLP 2021, EMNLP 2022), we aim to bring researchers and practitioners from NLP, machine learning and other artificial intelligence disciplines together with legal practitioners and researchers. We welcome submissions describing original work on legal data, as well as data with legal relevance, such as:
* Applications of NLP to legal tasks including, but not limited to:
* Legal Citation Resolution
* Case Outcome Analysis and Prediction
* Models of Legal Reasoning
* E-Discovery
* Lexical and other Data Resources for the Legal Domain
* Bias and Privacy
* Experimental results using and adapting NLP methods for legal data including:
* Classification
* Information Retrieval
* Anomaly Detection
* Clustering
* Knowledge Base Population
* Multimedia Search
* Link Analysis
* Entity Recognition and Disambiguation
* Training and Using Embeddings
* Parsing
* Dialogue and Discourse Analysis
* Text Summarization and Generation
* Relation and Event Extraction
* Anaphora Resolution
* Question Answering
* Query Understanding
* Combining Text with Structured Data
* Tasks:
* Description of new legal tasks for NLP
* Structured overviews of a specific task with the goal of identifying new areas for research
* Position papers presenting new visions, challenges and changes to existing research practices
* Resources:
* Creation of curated and/or annotated data sets that can be publicly released and used by the community to advance the field
* Demos:
* Descriptions of systems which use NLP technologies for legal text;
* Industrial Research:
* Industrial applications
* Papers describing research on proprietary data
* Interdisciplinary position papers:
* Legal or socio-legal analyses relating to the role NLP can play in the legal field
* Critical reflections on the legality and ethics of data collection and processing practices
* Critical reflections about the benefits and challenges of Large Language Models (LLMs) from a legal and regulatory perspective
* Critical reflections on the legality and ethics of data collection and processing practices
Submission
We accept papers reporting original (unpublished) research of two types:
* Long papers (max 8 pages + references)
* Short papers (max 4 pages + references)
Appendices and acknowledgements do not count against the maximum page limit and should be formatted according to the guidelines below.
To submit a paper, please access the submission link<https://softconf.com/emnlp2023/nllp2023>.
Conference proceedings will be published on the ACL Anthology<https://aclanthology.org/>.
Ethics section
The NLLP workshop adheres to the same standards regarding ethics as the EMNLP 2023 conference<https://2023.emnlp.org/calls/main_conference_papers/#ethics-policy>. Authors will be allowed extra space after the 8th page (4th for short papers) for an optional broader impact statement or other discussion of ethics. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted.
Non-archival option
The authors have the option of submitting previously unpublished research as non-archival, meaning that only the abstract will be published in the conference proceedings. We expect these submissions to describe the same quality of work as archival submissions. These will be reviewed following the same procedure as archival submissions. This option accommodates publication of the work or a superset at a later date in a conference or journal which does not allow previously archived work and to encourage presentation and feedback on mature, yet unpublished work. Non-archival submissions should adhere to the same formatting and length constraints as archival submissions.
Dual Submission and Pre-print Policy
Papers that have been or will be submitted to workshops, conferences or journals during the review period must indicate so at submission time. Authors of papers accepted for presentation at the NLLP 2023 workshop must notify the organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn.
If the preliminary version of a paper was posted in arXiv, the authors should NOT mention it as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected.
Exception: Submissions with the non-archival option are excepted from these requirements.
ACL Rolling Review Submissions
Our workshop also welcomes submissions from ACL Rolling Review (ARR)<https://aclrollingreview.org/>. Authors of any papers that are submitted to ARR and have their meta review ready may submit their papers and reviews for consideration for the workshop until 10 October 2023. This should include submissions to ARR for the 15 August deadline. The decision of publication will be announced by 17 October 2023. The committment should be done via the workshop submission website: https://softconf.com/emnlp2023/nllp2023/ ("ACL Rolling Review Committment" submission type)
EMNLP 2023 Submissions
Authors of any papers that have been reviewed for EMNLP 2023 and were rejected have the opportunity to send their paper and reviews to be considered for publication in the NLLP workshop proceedings. The deadline for submitting papers and reviews is 10 October 2023. The decision of publication will be announced by 17 October 2023. The submission should be done via the workshop submission website: https://softconf.com/emnlp2023/nllp2023 ("EMNLP 2023 Submission with reviews" submission type)
Double-Blind reviewing
The review process is double-blind. Submitted papers must not include author names and affiliations and they must be written in a way so that they do not break the double-blind reviewing process. If the preliminary version of a paper was posted in arXiv, the authors should NOT mention it as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected.
Submission Style & Format Guidelines
Paper submissions must use the official ACL style templates, which are available here<https://github.com/acl-org/acl-style-files> (Latex<https://github.com/acl-org/acl-style-files/tree/master/latex> and Word<https://github.com/acl-org/acl-style-files/tree/master/word>). Please follow the paper formatting guidelines general to "*ACL" conferences available here<https://acl-org.github.io/ACLPUB/formatting.html>.
Authors may not modify these style files or 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.
All long, short and theme papers must follow the ACL Author Guidelines<https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines>.
Presentation
* Presentation format for each paper and schedule will be announced between acceptance notification and the camera-ready deadline.
* At least one author of each accepted paper must register for the NLLP 2023 workshop by the registration deadline in order for the submission to be published in the proceedings.
========================================================
* Deadline extended to 25 June 2023 *
========================================================
ACM ICMI 2023 CALL FOR DOCTORAL CONSORTIUM CONTRIBUTIONS
9-13 October 2023, Paris - France
https://icmi.acm.org/2023/doctoral-consortium/
========================================================
The goal of the ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing and developing multimodal interfaces.
Who should apply?
-----------------
While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply.
Why should you attend?
----------------------
The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research. We specifically aim to create an informal setting where students feel supported in their professional development.
Important Dates
---------------
Submission deadline June 25, 2023 *** EXTENDED ***
Notifications July 24, 2023
Camera-ready August 6, 2023
Submission Guidelines
---------------------
Graduate students pursuing a PhD degree in a field related to ICMI are eligible to apply for the Doctoral Consortium (DC) and should submit the following materials:
1. Extended Abstract: A description of the PhD research plan and progress. Extended abstracts can be a maximum of four pages, although references can extend to a fifth page if needed. They should follow the same outline, details, and format of the ICMI Short Papers (https://icmi.acm.org/2023/guidelines-for-authors/). However, unlike short papers, DC submissions will not be anonymous. Be sure to include:
* The key research questions and motivation of the student’s research
* Background and related work that informs the student’s research
* A statement of hypotheses or a description of the scope of the technical problem
* The research plan, outlining stages of system development or series of studies
* The research approach and methodology
* Research results to date (if any) and a description of remaining work
* A statement of research contributions to date (if any) and expected contributions of the PhD work
2. Advisor Letter: A one-page letter of nomination from the student’s PhD advisor, which should focus on the student’s PhD plan and how the Doctoral Consortium event might contribute to the student’s PhD training and research.
3. Curriculum Vitae: A two-page CV describing the student’s background and work.
All materials should be prepared in PDF format and submitted through the ICMI submission system.
Process
-------
* Submission format: Four-page extended abstract using the ACM format (https://icmi.acm.org/2023/guidelines-for-authors/)
* Submission system: Precision Conference System
(https://new.precisionconference.com/submissions/icmi23a)
* Selection process: Peer-Reviewed
* Presentation format: Talk on consortium day and participation in the conference poster session
* Proceedings: Extended abstracts published in conference proceedings and ACM Digital Library
*** Apologies for Cross-Posting ***
The First Arabic Natural Language Processing Conference (WANLP 2023)
co-located with EMNLP 2023 in Singapore.
Conference URL: <https://wanlp2023.sigarab.org/>
https://wanlp2023.sigarab.org/
Submission URL: TBD
WANLP 2023 invites the submission of original long, short, or demo papers
in the area of Arabic Natural Language Processing.WANLP 2023 builds on
seven previous workshop editions, which have been extremely successful
drawing in a large active participation in various capacities. This
conference is timely given the continued rise in research projects focusing
on Arabic NLP. WANLP 2023 will also feature shared tasks, allowing
participants to work on specific NLP challenges related to Arabic language
processing. The conference is organized by the Special Interest Group on
Arabic NLP (SIGARAB), an Association for Computational Linguistics Special
Interest Group on Arabic Natural Language Processing.
Important Dates
-
May 7, 2023: submission of shared tasks proposals
-
May 14, 2023: notification of acceptance of shared tasks
-
September 5, 2023: conference & shared task papers due date
-
October 12, 2023: notification of acceptance
-
October 20, 2023: camera-ready papers due
-
December 7, 2023: conference day
All deadlines are 11:59 pm UTC -12h
<https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on
Earth”).
We accept long (up to 8 pages), short (up to 4 pages), and demo paper (up
to 4 pages) submissions. Long and short papers will be presented orally or
as posters as determined by the program committee.
Submissions are invited on topics that include, but are not limited to, the
following:
-
Enabling core technologies: language models and large language models,
morphological analysis, disambiguation, tokenization, POS tagging, named
entity detection, chunking, parsing, semantic role labeling, sentiment
analysis, Arabic dialect modeling, etc.
-
Applications: dialog modeling, machine translation, speech recognition,
speech synthesis, optical character recognition, pedagogy, assistive
technologies, social media, etc.
-
Resources: dictionaries, annotated data, corpora, etc.
Submissions may include work in progress as well as finished work.
Submissions must have a clear focus on specific issues pertaining to the
Arabic language, whether it is standard Arabic, dialectal, classical, or
mixed. Papers on other languages sharing problems faced by Arabic NLP
researchers, such as Semitic languages or languages using Arabic script,
are welcome provided they propose techniques or approaches that would
interest Arabic NLP, and they explain why this is the case. Additionally,
papers on efforts using Arabic resources but targeting other languages are
welcome. Descriptions of commercial systems are welcome, but authors should
be willing to discuss the details of their work.
If you have any questions, don't hesitate to get in touch with us at:
<https://groups.google.com/u/1/>wanlp-pc-chairs(a)sigarab.org
The WANLP 2023 Publicity Chairs,
Salam Khalifa and Amr Keleg
--
Salam Khalifa
PhD Student at Stony Brook Linguistics
<https://www.linguistics.stonybrook.edu/>.
*** Combo Call for Workshop Papers ***
19th IEEE eScience Conference (eScience 2023)
October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus
https://www.escience-conference.org/2023/
The 19th IEEE eScience Conference will be held in Limassol, Cyprus on October 9-13, 2023.
eScience 2023 will host a number of workshops which will be co-located with the main
conference on Monday, October 9 and Tuesday, October 10, 2023.
The eScience conference has a long history of hosting well-attended workshops. These
workshops share the goal of bringing together international and interdisciplinary research
communities, developers, and users of eScience applications and enabling IT technologies.
Workshops play a crucial role in the conference by providing an opportunity for researchers
and practitioners to present their work in a more focused way than the conference itself and
to have in-depth discussions of particular topics of interest to the community.
eScience 2023 will host the following workshops:
● 1st Workshop on cItizeN Science engagemenT based on Ict soLutions (INSTIL 2023)
http://www.instil-science.eu
● 3rd Workshop on E-science ReseaRch leading tO negative Results (ERROR 2023)
https://error-workshop.org
● 3rd Workshop on Reproducible Workflows, Data Management, and Security
(ReWorDS 2023)
https://sites.google.com/vols.utk.edu/rewords23/home
● 4th Global Research Platform (4GRP) Workshop
https://www.theglobalresearchplatform.net
● IEEE International Workshop on Artificial Intelligence for Health (AI4Health 2023)
https://www.ai4health.icar.cnr.it
● Research Software Engineers in eScience: Sustainable RSE Ecosystems within eScience
(RSE-eScience-2023)
https://us-rse.org/rse-escience-2023/
KEY DATES
● Workshop papers submission deadline: Defined per workshop, not before end June 2023
● Notification of acceptance: Defined per workshop
● IEEE proceedings camera ready: July 21, 2023
● Workshop days: October 9-10, 2023
Deadlines refer to 23:59 in the AoE (Anywhere on Earth) time zone.
ORGANISATION
General Chair
• George Angelos Papadopoulos, University of Cyprus, Cyprus
Technical Program Co-Chairs
• Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA
• Rosa Filgueira, University of St Andrews, UK
Organisation Committee
https://www.escience-conference.org/2023/organizers
Steering Committee
https://www.escience-conference.org/about/#steering-committee
The Natural Language Processing Group at Linköping University has an opening for a
PhD Student in Natural Language Processing
The research for this position will be within the project ‘Efficient Modularisation and Adaptation of Large Language Models’, which aims to develop methods for dissecting large language models into functional modules that can be trained and updated independently and applied in settings where training data is relatively scarce.
The position is fully funded for 4 years. It may be extended up to a maximum of 5 years, based on the extent of teaching and other departmental duties the candidate has participated in.
The closing date is 2023-08-15.
For more information about the project and the position, please visit
https://www.ida.liu.se/divisions/aiics/nlp/phd-student.html
Please do not hesitate to contact me for any further questions.
Best regards
Marco Kuhlmann
Professor
Department of Computer and Information Science
Linköping University
2nd Workshop on Perspectivist Approaches to Disagreement in NLP (and
Beyond) (NLPerspectives)
https://nlperspectives.di.unito.it/w/2nd-workshop-on-perspectivist-approach…
Until recently, the dominant paradigm in natural language processing (and
other areas of artificial intelligence) has been to resolve observed label
disagreement into a single “ground truth” or “gold standard” via
aggregation, adjudication, or statistical means. However, in recent years,
the field has increasingly focused on subjective tasks, such as abuse
detection or quality estimation, in which multiple points of view may be
equally valid, and a unique ‘ground truth’ label may not exist (Plank,
2022). At the same time, as concerns have been raised about bias and
fairness in AI, it has become increasingly apparent that an approach which
assumes a single “ground truth” can erase minority voices.
Strong perspectivism in NLP (Cabitza et al., 2023) pursues the spirit of
recent initiatives such as Data Statements (Bender and Friedman, 2018),
extending their scope to the full NLP pipeline, including the aspects
related to modelling, evaluation and explanation.
In line with the first edition <https://nlperspectives.di.unito.it/w/w2022/>,
the NLPerspectives (Perspectivist Approaches to Disagreement in NLP)
workshop will explore current and ongoing work on: the collection and
labelling of non-aggregated datasets; and approaches to modelling and
including these perspectives, as well as evaluation and applications of
multi-perspective Machine Learning models. We also welcome opinion pieces
and literature reviews, e.g., in the context of fairness and inclusion.
A key outcome of this second edition will be to build on the work begun at
https://pdai.info/ to create a repository of perspectivist datasets with
non-aggregated labels for use by researchers in perspectivist NLP
modelling.
Authors are, therefore, invited to share their LRs (data, tools, services,
etc.) and provide essential information about resources (i.e., also
technologies, standards, evaluation kits, etc.) that have been used for the
work or are a result of their research. In addition, authors will be
required to adhere to ethical research policies on AI and may include an
ethics statement in their papers.
The NLPerspectives workshop will be hosted in person during the 26th
edition of ECAI 2023 <https://ecai2023.eu/> in Kraków, Poland, on 30
September or 1 October 2023.
Submissions
The papers should be submitted as a PDF document, conforming to the
formatting guidelines provided in the call for papers of ECAI 2023
conference: https://ecai2023.eu/ECAI2023
We accept three types of submissions:
-
Regular research papers;
-
Non-archival submissions: like research papers, but will not be included
in the proceedings;
-
Research communications: 4-page abstracts summarizing relevant research
published elsewhere.
Research papers (archival or non-archival) may consist of up to 7 pages of
content, plus 1 page for references. Research communications may consist of
up to 4 pages of content. Submissions should be sent in electronic forms,
using the Softconf START conference management system at this URL:
https://softconf.com/n/NLPerspectives/user/scmd.cgi?scmd=submitNew
Topics
We invite original research papers from a wide range of topics, including
but not limited to:
-
Non-aggregated data collection and annotation frameworks
-
Descriptions of corpora collected under the perspectivist paradigm
-
Multi-perspective Modelling and Machine Learning
-
Evaluation of multi-perspective models/ models of disagreement
-
Multi-perspective disagreement as applied to NLP evaluation
-
Fairness and inclusive modelling
-
Perspectivist approaches for social good
-
Applications of multi-perspective modelling
-
Computing with (dis)agreement
-
Perspectivist Natural Language Generation
-
Foundational aspects of perspectivism
-
Opinion pieces and reviews on perspectivist approaches to NLP
Submissions are open to all, and are to be submitted anonymously (and must
conform to the instructions for double-blind review). All papers will be
refereed through a double-blind peer review process by at least three
reviewers, with final acceptance decisions made by the workshop organizers.
Scientific papers will be evaluated based on relevance, significance of
contribution, impact, technical quality, scholarship, and quality of
presentation.
Attendance
At least one author of each accepted paper is required to participate in
the conference and present the work.
Important Dates
* *Friday June **23 30, 2023: Paper submission*
* Friday August 4, 2023: Notification of acceptance
* Friday September 1, 2023: Camera-ready papers due
* Saturday September 30 or Sunday October 1, 2023: Workshop
Workshop organisers:
Gavin Abercrombie, Heriot-Watt University
Valerio Basile, University of Turin
Davide Bernardi, Amazon Alexa
Shiran Dudy, University of Colorado, Boulder
Simona Frenda, University of Turin
Lucy Havens, University of Edinburgh
Elisa Leonardelli, Fondazione Bruno Kessler
Sara Tonelli, Fondazione Bruno Kessler
Contact us at g.abercrombie(a)hw.ac.uk if you have any questions.
Website: https://nlperspectives.di.unito.it/
Hola Anastasia
Apologies for submitting one of my reviews a bit late: very busy time
now at the end of the academic year...
At the beginning of July I would like to book flight and accomodation:
if you have any suggestion about
hotels in Thessaloniki they'd be more than welcome ;-)
Have a nice weekend
Paolo
Position at UPF (not related to me)
---------- Forwarded message ---------
https://euraxess.ec.europa.eu/jobs/112976#offer-description
PhD scholarship in Forgetting How to See Language
In this doctoral research, the candidate will investigate the underlying
patterns of this forgetting in visual language discrimination. This
interdisciplinary research is part of the ForHowSeeL project
<https://www.upf.edu/web/mdm-dtic/projects/-/asset_publisher/eCFIkRR4PbC1/co…>.
By leveraging videos of British Sign Language (BSL) and Japanese Sign
Language (JSL) and using computer vision and artificial intelligence
methods, the goal is to identify the key visual features and discover
low-level patterns in the visual data that infants in the early months of
life are able to capture and use to discriminate between different sign
languages. Both model-based and data-driven methods for visual data
analysis and understanding will be exploited.
This position is co-funded by the PhD fellowship program of the Department
of Information and Communication Technologies at Universitat Pompeu Fabra
(DTIC-UPF), and the María de Maeztu Strategic Research Programme at
DTIC-UPF on Artificial and Natural Intelligence for ICT and beyond.
This position includes a teaching commitment load of 45 hours per academic
year.
Starting date (planned)*:* September - October 2023
Application deadline: June 30th, 2023
Gross monthly salary: 1.680€.
Additional information and application
<https://euraxess.ec.europa.eu/jobs/112976>
In this newsletter:
LDC at ACL 2023
LDC data and commercial technology development
New publications:
Moroccan Arabic - English Lexical Database<https://catalog.ldc.upenn.edu/LDC2023L01>
LORELEI Indonesian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T07>
________________________________
LDC at ACL 202
LDC will be exhibiting at ACL 2023, held this year July 9-14 in Toronto, Canada. Stop by our booth to learn more about recent developments at the Consortium and the latest publications. LDC will post conference updates via Twitter and Facebook. We look forward to seeing you there!
LDC data and commercial technology development
For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information.
________________________________
New publications:
Moroccan Arabic - English Lexical Database<https://catalog.ldc.upenn.edu/LDC2023L01> was developed by LDC. It contains a set of five interrelated tables presenting each Moroccan Arabic word as an orthographic form in Arabic script and a pronunciation form in International Phonetic Alphabet (IPA) format. This release contains over 21,000 Moroccan Arabic words in Arabic script and IPA notation, and more than 33,000 English tokens.
This lexical database is the result of a collaboration with Georgetown University Press (GUP) <https://press.georgetown.edu/> to enhance and update three dialectal Arabic dictionaries -- Iraqi, Moroccan, and Syrian -- originally published in paper form in the 1960s by GUP. LDC also undertook to develop a lexical database for each dialect. The Georgetown Dictionary of Moroccan Arabic <https://press.georgetown.edu/Book/The-Georgetown-Dictionary-of-Moroccan-Ara…> was published in 2019; this work was based on, and expanded, A Dictionary of Moroccan Arabic<https://press.georgetown.edu/Book/A-Dictionary-of-Moroccan-Arabic>.
The several enhancements developed by LDC included facilitating comparisons across Arabic dialects and Modern Standard Arabic by providing Arabic script spellings and IPA pronunciations to Moroccan words and phrases; promoting ease of use by language learners and researchers by developing reasonable orthographic conventions for applying the Arabic alphabet to the dialect; and facilitating a user's understanding of morphological and lexical relations by adding information on the linguistic structures of Moroccan Arabic.
2023 members can access this corpus through their LDC accounts provided they have submitted a signed copy of the special license agreement. Non-members may license this data for a fee.
*
LORELEI Indonesian Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T07> is comprised of over 17 million words of Indonesian monolingual text, 950,000 million words of found Indonesian-English parallel text, and 92,000 Indonesian words translated from English data. Over 113,000 words were annotated for named entities and more than 24,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs, and issues). Data was collected from discussion forum, news, reference, social network, and weblogs.
The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage.
The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>.
2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.
To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance.
Membership Coordinator
Linguistic Data Consortium<ldc.upenn.edu>
University of Pennsylvania
T: +1-215-573-1275
E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu>
M: 3600 Market St. Suite 810
Philadelphia, PA 19104
At Maastricht Law & Tech lab we are looking for an Assistant Professor in the intersection of law and computer science. Strong experience in NLP is much appreciated!
If you have any questions about the position, hit me up! The full text of the position is here<https://www.academictransfer.com/en/329092/assistant-professor-in-computer-…> and attached below.
——
We are seeking a talented and motivated individual to join our esteemed faculty as an Assistant Professor in Computer Science and Law. This exciting position offers a unique opportunity to contribute to the rapidly evolving intersection of computer science and law, and to shape the future of both fields.
JOB DESCRIPTION
Role and Responsibilities:
As an Assistant Professor, you will be at the forefront of exploring how technology can benefit the legal domain and how computer science can be advanced through the challenges presented by the law. You will collaborate with legal researchers, computer scientists, and enthusiastic students, collectively striving to understand and utilize the latest advancements in computer science to interpret, apply, and evaluate the law. By working with colleagues from diverse backgrounds, you will tackle pressing societal issues and contribute to the development of innovative solutions.
At Maastricht University, we are committed to fostering a supportive and inclusive academic community that values diversity, equity, and inclusion. We believe that by bringing together experts from different fields and backgrounds, we can create a rich and dynamic learning environment that prepares students to become leaders in their fields. As an Assistant Professor in Computer Science in Law, you will be an integral part of this community, and will have the opportunity to contribute to our ongoing efforts to create a more just and equitable society.
Why Join Us:
* Cutting-edge Research Opportunities: we are renowned for our commitment to groundbreaking research. Join our vibrant community of scholars and contribute to advancing knowledge and understanding in this rapidly evolving field.
* Interdisciplinary Collaboration: we foster a collaborative environment where experts from various disciplines come together to tackle complex societal challenges. You will have the opportunity to collaborate with legal researchers, computer scientists, and professionals from diverse backgrounds. This interdisciplinary approach will enrich your research and teaching experiences, providing you with a unique perspective and the chance to make a meaningful impact.
* Supportive and Inclusive Community: We are dedicated to creating a supportive and inclusive academic community that values diversity, equity, and inclusion. We provide a nurturing environment that encourages personal and professional growth, ensuring that you feel valued and supported throughout your career.
* Dynamic Learning Environment: we offer a dynamic learning environment that promotes interactive teaching and student engagement. You will have the opportunity to inspire and educate the next generation of leaders in computer science and law. Our students are eager to learn about the latest advancements in technology and their legal implications, providing you with a motivated and intellectually curious audience.
* International Outlook: Maastricht University is an internationally renowned institution located in the heart of Europe. Joining our faculty will expose you to a multicultural and diverse environment, fostering a global perspective in your research and teaching. You will have the opportunity to collaborate with scholars and experts from around the world, expanding your network and contributing to the global academic community.
If you are passionate about computer science and law, and are looking for a challenging and rewarding career that will allow you to make a real impact, we encourage you to apply for this position.
Responsibilities:
The responsibilities are diverse. You will conduct innovative and high-quality research, write research proposals, participate in strategic and administrative activities, and teach in our program where students learn about both the law and computer science methods. This set of responsibilities will, among other things, allow you to:
* Grow in academia
* Become a pioneer
* Work collaboratively and contribute to an interdisciplinary team
* Build networks
* Participate and lead projects
* Pursue strategies to translate research results into innovation
* Develop and advance courses and educational programs at the intersection of law and data science
REQUIREMENTS
Matching Skills
We are seeking applicants with the following skills:
* PhD degree in law, data science, artificial intelligence, computer science, mathematics, or a related field. Legal scholars with a doctrinal focus do not fit the profile;
* Passion for and experience in applying data science, data science, artificial intelligence, computer science, and / or mathematics (individually and / or jointly);
* Ability to teach in English. Willingness to learn Dutch;
* Possess a University Teaching Qualification (UTQ) or be prepared to obtain one within two years of appointment;
* A personality characterized by vision and ambition;
* Team player;
* (optional) Geek-friendly.
CONDITIONS OF EMPLOYMENT
* Preferred start of employment: fall 2023 / spring 2024;
* 38 hours per week;
* You will be employed temporarily for 12 or 18 months (depending on your employment history) as assistant professor (level 2) and will co-develop and agree to specific development goals. Towards the end of this contract period and upon satisfactory performance, this initially 12 or 18 months position will become permanent;
* Remuneration will be according to standard salary levels for assistant professors starting from €3,974 up to €5,439 gross per month based on a full-time appointment (38 hours/week). An 8% holiday and an 8.3% year-end allowance is also provided;
* We offer an attractive package of fringe benefits such as, collective health insurance with attractive conditions, substantial leave arrangements, selection model for designing a personalised benefits package, use of UM Sport facilities against reduced rate, and application for attractive fiscal arrangements for employees from abroad;
* The research will be conducted at the Maastricht Law & Tech Lab.
The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/> > About UM > Working at UM<https://www.maastrichtuniversity.nl/about-um/working-um>.
EMPLOYER
Maastricht University
Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and about 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.
For more information, visit www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/>.
DEPARTMENT
Department of Private Law
The administrative unit under which the position falls is the Department of Private Law. This department consists of a dynamic group of researchers and lecturers. Colleagues describe the Department as an exciting, inspiring, and diverse yet inclusive environment that fosters professional development, ambition, and innovative research in the field of private law. The atmosphere is one of academic freedom. You will be able to engage in a variety of other activities both within and beyond the Law Faculty, be they educational, managerial, strategic or extra-curricular. Support for grant applications will be provided.
The Maastricht Law and Tech Lab
The research will be carried out at The Maastricht Law and Tech Lab. The Lab is embedded within the Faculty of Law and aims to produce cutting-edge research and to build a creative community of researchers, teachers and students at the intersection of law, technology, data science and knowledge engineering. The Lab aims to analyze how technology and data science interact with law and justice in society, how technology and data science can increase access to law and justice in society, and analyzes the ethical, legal, and social issues arising from technology and data science innovations. Activities are conducted in collaboration between lawyers, data scientists and / or knowledge engineers.
ADDITIONAL INFORMATION
More information can be obtained from:
prof. dr. Gijs van Dijck, email gijs.vandijck(a)maastrichtuniversity.nl<mailto:gijs.vandijck@maastrichtuniversity.nl>.
To apply at this vacancy, press the button ‘apply now’ to see the application procedure.
Please send your application before the deadline of 2 July 2023.