Dear all,
Our Chair of Multilingual Computational Linguistics in Passau offers one
post-doc or doctoral positions as part of the ERC project "Productive
Signs: A computer-assisted investigation of evolutionary, typological,
and cognitive aspects of word families". The position is 3 years. An
extension for doctoral candidates may be possible, pending sufficient
funding.
You find more information on the position on the following link (for the
time being only in German, but the English version will also follow soon):
https://www.uni-passau.de/fileadmin/dokumente/beschaeftigte/Stellenangebote…
Sincerely,
Mattis List
--
Prof. Dr. Johann-Mattis List
Chair of Multilingual Computational Linguistics
University of Passau
Dr.-Hans-Kapfinger-Str. 16
04032 Passau
Germany
Chair Website: https://phil.uni-passau.de/multilinguale-computerlinguistik/
Personal Website: https://lingulist.de
Telephone: +49(0)851/509-3480
Dear all,
We are offering an exciting PostDoc/Senior Researcher position at the
intersection of NLP and computational social science within the
department Knowledge Technologies for the Social Sciences
(https://gesis.org/en/kts) at GESIS in Cologne, Germany.
The position is limited to 4 years, with option for tenure/permanency.
Further information can be found at
https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/37621/Se….
For any questions, please don't hesitate to get in touch with me.
Best regards,
Stefan
--
Prof. Dr. Stefan Dietze
Scientific Director Knowledge Technologies for the Social Sciences
GESIS - Leibniz Institute for the Social Sciences
Web: https://www.gesis.org/en/kts
Chair of Data & Knowledge Engineering
Heinrich-Heine-University Düsseldorf
Web: https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering
Phone: +49 (0)221-47694-421
Web: http://stefandietze.net
Dear Colleagues,
This is the last call for participation in the FinLLM Challenge of the FinNLP-agentscen workshop at IJCAI 2024! The registration will close at AOE 00:00 AM on May 28, 2024.
Don't miss this opportunity to test your skills and contribute to the exciting field of AI in Finance. For the latest updates and to access the train set, please visit our website:
FinLLM Challenge: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-agentscen/shared-task-f…
We also welcome submissions of existing models or checkpoints of LLMs.
If you have any questions or encounter any issues, feel free to reach out to our support team via email at ijcaifinllmcontest(a)thefin.ai.
Stay tuned for further announcements and good luck!
Best regards,
FinLLM Organizers
Contact email: ijcaifinllmcontest(a)thefin.ai
Discord Link: https://discord.gg/pCrWUQct
The Department of Computer Science at the IT University of Copenhagen is
offering a Postdoc position in Natural Language Processing/Computational
Linguistics*,* with a start date of *1 September 2024* or as soon as
possible. The *application deadline is 31* *May** 2024.* Applications for
the position can be submitted via ITU job portal
<https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181…>
.
*Proposed project title: *Efficiency and Robustness in Language Model
Pre-training
*Proposed project description.* Recent generative systems based on
pre-trained language models are remarkably fluent, but this is achieved by
extreme volumes of computation and training data. This means not only high
energy costs, but also training on data that is problematic in various
ways: copyright, harmful social stereotypes, non-representative sampling,
misinformation, junk SEO texts, pornography, and contamination with NLP
datasets used for evaluation.
This project will create an ambitious resource for research on transfer
learning, in which pre-training data is held constant, and evaluation takes
into account how much similar data was observed in training, and in what
ways it was similar. This resource will encourage the development of more
efficient and robust approaches, since it will not be possible to improve
benchmark scores by simply training on more data.
The ideal candidate will have a strong background in Computational
Linguistics/Natural Language Processing and experience developing NLP
resources, as well as core skills in programming in Python and machine
learning.
The position is funded for 1 year, and it is our intention to find
additional funding to extend this postdoc to a 2- or 3-year position.
Besides research, the postdoc will gain experience with organization of an
international workshop and shared task and build up their international
network. For those interested in pursuing an academic career, the following
is also possible (but entirely optional):
- gain experience in applying for external funding with professional
support (either for the continuation of the postdoc’s own position, e.g.
Marie Curie postdoctoral fellowship, or by contributing to PI’s grant
proposals);
- supervise Master students solo, and/or assist in supervising a PhD
student;
- undertake a formal teacher training program, including teaching guest
lectures in the relevant data science courses at the ITU computer science
department.
The successful candidate will be a member of the national Pioneer Centre
for Artificial Intelligence <https://aicentre.dk/>, a 5-university Danish
research endeavor, and of the NLPnorth <https://nlpnorth.github.io/>research
group at the IT University’s Computer Science Department. Both the centre
and research group are highly international and well-funded, working on a
broad range of research topics.
The project will be supervised by Associate Professor Anna Rogers
<https://annargrs.github.io/> (arog(a)itu.dk), to whom inquiries about the
project can be directed.
--
Best regards,
Anna Rogers
Associate Professor
Computer Science Department, IT University of Copenhagen
http://annargrs.github.io/
[apologies for cross-posting]
Dear all,
We are offering three fully funded PhD positions to study the political
biases of large language models in various application settings
(simplification and paraphrasing, summarization and question answering,
translation): how to define them? How to measure them? How to mitigate
them? The starting date for these positions is october 2024.
Depending on their interests and preferences, the successful candidates
will either join :
- the MLIA team of ISIR: https://www.isir.upmc.fr/
- the Computational Linguistic group of STIH:
http://stih-sorbonne-universite.fr
Both labs are affiliated with Sorbonne Université and located in the
center of Paris.
Applications should be submitted only via this link, where more
information about these positions is available:
https://emploi.cnrs.fr/Offres/Doctorant/UMR7222-FRAYVO-002/Default.aspx?lan…
If you are interested, please submit your application *before june
15th*, including the following elements:
• Detailed CV,
• Letter of motivation,
• Details of transcripts (especially M1 and M2),
• Elements of bibliography or personal achievements related to a
research activity (e.g. master project, research internship subject, etc.),
• 2 recommendation letters
Interviews will be conducted online between june 10th and june 24th, 2024.
G. Lejeune (STIH) - B. Piwowarski & F. Yvon (ISIR/MLIA)
---
François Yvon
ISIR, CNRS & Sorbonne Université
+33 (0)1 44 27 62 11
4 Place jussieu
F-75005 Paris
Apologies for cross-postings!
** Please forward to anyone who might be interested **
************************************************************************************
CALL FOR PAPERS
Sixth International Conference on AI in Computational Linguistics
(ACLing2024)
September 21-22, 2024 (Hybrid Conference)
Brochure: http://acling.org/wp-content/uploads/2024/05/ACLing24_CFP.pdf
Publication: Procedia Computer Science by ELSEVIER (
https://www.sciencedirect.com/journal/procedia-computer-science)
Website: https://acling.org/
************************************************************************************
IMPORTANT DATES
* Paper submission deadline: 31 May 2024 (Extended and Final)
* Notification of Acceptance: 21 June 2024
* Registration: 25 June 2024
* Camera ready version submission: 14 July 2024
* Conference Date: 20 – 21 September 2024
************************************************************************************
INTRODUCTION
Are you interested in artificial intelligence and computational
linguistics? The ACLing Conference is a great opportunity to share your
latest research with a global audience of experts. We're inviting
submissions on a wide range of topics, including machine learning, natural
language processing, and applications of these technologies.
SOME KEY TOPICS OF INTEREST:
* Large Language Models and their applications
* Information Retrieval and Question Answering
* Information Extraction
* Linguistic Theories and Resources
* Language Modeling
* Speech and Multimodality
* Machine Learning, Text Categorization, and Text Mining
* Machine Translation
* Multilinguality and Cross-linguality
* NLP Applications
* Segmentation, Tagging, and Parsing
* Semantics
* Sentiment Analysis and Opinion Mining
* Web, Social Media and Computational Social Science
* Natural Language Generation
* Text Categorization and Topic Modeling
* Text Mining
* Language and Vision
* AI applications in Computational linguistics
SUBMISSION INSTRUCTIONS
For detailed instructions on how to submit your paper, please visit the
conference website: https://acling.org/submission/. All the submissions
should be submitted via EasyChair:
https://easychair.org/my/conference?conf=acling2024
BENEFITS OF PUBLISHING AT ACLING:
• Your work will be seen by a global audience of leading researchers in
computational linguistics.
• All accepted papers will be published in the Procedia Computer Science by
ELSEVIER.
INDEXING, RANKING, AND IMPACT (web sources):
* Abstracting and indexing:
https://www.sciencedirect.com/journal/procedia-computer-science/about/insig…
* Scopus: https://www.scopus.com/sourceid/19700182801?origin=sbrowse
* CiteScore: https://www.scopus.com/sourceid/19700182801?origin=sbrowse
* SJR (scimago):
https://www.scimagojr.com/journalsearch.php?q=19700182801&tip=sid
* ACLingy by Google Citation:
https://scholar.google.com/citations?user=jkpMuFMAAAAJ&hl=en
* ACLing by DBLP: https://dblp.org/db/conf/acling/index.html
FURTHER INFORMATION & CONTACT DETAILS
* Vist the conference website link https://acling.org/ (will be updated on
a regular basis).
* For further information, please contact us at ACLing2024(a)gmail.com
Regards,
CONFERENCE ORGANIZERS
* Prof. Dr. Khaled Shaalan, The British University of Dubai, UAE
* Prof. Dr. Samhaa R. El-Beltagy, Newgiza University, Egypt
================[Apologies for any cross-posting]================
Dear Colleagues,
Due to several requests, the deadline of the Special issue of the
journal Traitement Automatique des Langues (TAL) "Abusive Language
Detection : Linguistic Resources, Methods and Applications" *has been
extended to June 15th*.
**Guest Editors**
Farah Benamara (IRIT-Toulouse University, IPAL Singapore), Delphine
Battistelli (MoDyCo, Paris Nanterre University) and Viviana Patti (Turin
University)
**Motivations**
Abusive language - or, in another very common terminology, hate speech -
and the propagation of harmful stereotypes have unfortunately become
commonplace occurrences on various social media platforms, partly due to
users’ freedom and anonymity and the lack of regulation provided by
these platforms. The sheer volume and often implicit nature of such
unwanted content make manual moderation of these user spaces a
formidable task. Various scientific communities interested in its at
least partial automation have taken up the problem over the past ten
years. In particular, Computational Social Science, Natural Language
Processing and Computational Linguistics have proposed numerous works to
create resources, datasets, and models aimed at automating the task of
abusive language detection (henceforth ALD). In fact, we see that ALD
has become a research theme in its own right in the field of Natural
Language Processing with an abundant literature.
Abusive language (umbrella term to refer to the various forms of harmful
language, such as toxic, offensive language, hate speech, and
stereotypes) is topically focused and each specific manifestation of
abusive language targets different vulnerable groups based on
characteristics such as gender (misogyny, sexism), ethnicity, race,
religion (xenophobia, racism, Islamophobia), sexual orientation
(homophobia), and so on. Most automatic ALD approaches cast the problem
into a binary classification task but important considerations should be
taken into account, in particular: (1) the topical focus or the
target-oriented nature of hate speech ; (2) the degree of engagement of
users in abusive content (e.g., denunciation, approbation, reporting,
neutral attitude) ; (3) the question of stereotypes and dominant
ideologies ; (4) the question of linguistic strategies more particularly
linked or born with social networks (e.g., emoticons, hashtags).
Furthermore, most of the work (resources, classifiers) is developed for
English.
**Topics**
Motivated by the interest of the community in the problem of ALD, we
invite papers from Natural Language Processing, Machine Learning and
Computational Social Sciences. We explicitly encourage interdisciplinary
submissions (resources, computational methods, and user applications at
the interface of linguistics/psychology/socio-linguistics/sociology) but
also position papers on the actual state of the art in the field
discussing the limitations of the current approaches and directions for
future work. The topics covered by the special issue include, but are
not limited to:
-- Linguistic resources and evaluation: annotation schemes, corpus
linguistics studies, new datasets, with a particular interest in French
language and/or multilingual resources. In the case of strictly lexical
resources: methods for constituting them and coverage, semantic
categories retained.
-- Formal/Conceptual approaches for ALD as inspired by models in
sociology, socio-linguistics and psychology.
-- Models and Methods: supervised and unsupervised approaches, including
LLMs.
-- Role of contextual phenomena, including discourses, extra-linguistic
contexts (e.g., cultural aspects).
-- Models for cross-lingual and multimodal detection.
-- New approaches beyond binary classification: target-oriented ALD,
degrees of user engagement, etc.
-- Dynamics of online AL in social media, propaganda propagation.
-- Bias detection and removal in resource creation, datasets and methods.
-- Application of ALD tools in education, social media content
moderation, etc.
-- Social, legal, and ethical implications of detecting, monitoring and
moderating AL.
**Important dates**
June 15th, 2024: Submission deadline
July 15th, 2024: Notification of acceptance after first rereading
End of September 2024: Revised version
Mid October 2024: Final decision
End of November 2024: Camera ready
January 2025: Publication of the special issue
**Submission**
Submissions can either be in French or English and should follow the
journal templates: https://tal-65-3.sciencesconf.org/
**About the journal**
Traitement Automatiques des Langues Journal (TAL) is the international
French journal of Natural Language Processing
(https://www.atala.org/revuetal) published by ATALA (French Association
for Natural Language Processing, http://www.atala.org) since 1959 with
the support of CNRS (National Centre for Scientific Research). It is
indexed by ACL Anthology as well as DBLP. It is also supported by the
Institute of Human and Social Sciences of the CNRS.
**Contact**
For any question, please contact tal-65-3(a)sciencesconf.org
**External committee**
-- Cristina Bosco, University of Turin
-- Elena Cabrio, University of Côte d'Azur
-- Tommaso Caselli, Faculty of Arts, Rijksuniveristeit Groningen
-- Valentina Dragos, ONERA
-- Karën Fort, Sorbonne University
-- Claire Hugonnier, University of Grenoble Alpes
-- Irina Illina, University of Lorraine
-- Roy Ka-Wei Lee, Singapore University of Technology and Design
-- Véronique Moriceau, IRIT, University of Toulouse
-– Frédérique Segond, INRIA Paris
-- Mariona Taulé, University of Barcelona
-- Samuel Vernet, Aix-Marseille University
-- Mathieu Valette, Paris Sorbonne Nouvelle University
-- Marcos Zampieri, George Mason University
--
========================
Farah Benamara Zitoune
Professor in Computer Science, Université Paul Sabatier
IRIT-CNRS
118 Route de Narbonne, 31062, Toulouse.
Tel : +33 5 61 55 77 06
http://www.irit.fr/~Farah.Benamara
==================================
--
========================
Farah Benamara Zitoune
Professor in Computer Science, Université Paul Sabatier
IRIT-CNRS
118 Route de Narbonne, 31062, Toulouse.
Tel : +33 5 61 55 77 06
http://www.irit.fr/~Farah.Benamara
==================================
Call for Tutorials COLING 2025
The 2025 International Conference on Computational Linguistics (COLING 2025) invites proposals for tutorials to be held in conjunction with the conference. We seek proposals in all areas of natural language processing and computation, language resources (LRs), and evaluation, including spoken language, sign language, and multimodal interaction.
We invite proposals for three types of tutorials, and we especially encourage submissions from early-career researchers:
Cutting-edge: tutorials that cover advances in newly emerging areas. The tutorials are expected to give a brief introduction to the topic, but participants are assumed to have some prior knowledge of the topic. The focus of the class will be on discussing the most recent developments in the field, and it will spend a considerable amount of time pointing out open research questions and important novel research directions.
Introductory to computational linguistics/NLP topics: tutorials that provide introductions to topics that are established in the COLING communities. The lecturers provide an overview of the development of the field from the beginning until now. Attendees are not expected to come with prior knowledge. They acquire sufficient understanding of the topic to understand the most recent research in the field.
Introduction to Key Concepts in Linguistics, including Semantics, Syntax, Psycholinguistics, Neurolinguistics, and Sociolinguistics: tutorials that provide introductions to topics that are established or emerging in areas adjacent to CL/NLP. The lecturers provide an overview of the development of the field from the beginning until now. Attendees are not expected to come with prior knowledge. They acquire a sufficient understanding of the topic to understand the most recent research in the field and the relevance for the CL/NLP domains.
Each of these types of tutorials can either be half-day (4h long including a coffee break (30m long)) or full-day (8h long including two coffee breaks (1h long in total) but excluding a lunch break).
In all cases, the aim of a tutorial is primarily to help understand a scientific problem, its tractability, and its theoretical and practical implications. Presentations of particular technological solutions or systems are welcome, provided that they serve as illustrations of broader scientific considerations. None of the tutorial types are expected to be “self-invited” long talks – the content should be a good balance between research from multiple groups and perspectives, not only from the teachers of the tutorial.
The tutorials will be held at COLING 2025 in Abu Dhabi, UAE, on 19 and 20 January, 2025.
Important Dates
All deadlines are 11:59 PM UTC-12:00 (“anywhere on Earth”).
Proposal submission due July 31, 2024
Notification of acceptance August 31, 2024
COLIING2025 tutorials January 19-20, 2025
COLING2025 conference January 21-24, 2025
Diversity and Inclusion
We particularly encourage submissions of underrepresented groups in computational linguistics, researchers from any demographic or geographic minority, with disabilities, or others. In the evaluation of the proposal, we will take these aspects into account to create a varied and balanced set of tutorials.
This includes several aspects of diversity, namely (1) how the topic of the tutorial contributes to improved diversity and increased fairness in the field, (2) if the topic is particularly relevant for a specific underrepresented group of potential participants, (3), if the presenters are from an underrepresented group.
Submission Details
They should contain:
A title that helps the potential attendees to understand what the tutorial will be about.
An abstract that summarizes the topics, goals, target audience, and type (see above) of the tutorial (this abstract will also be on the LREC-COLING website).
A section called “Introduction” that explains the topic and summarizes the starting point and relevance for our community and in general.
A section called “Target Audience” that explains for whom the tutorial will be developed and what the expected prior knowledge is. Clearly specify what attendees should know and be able to practically do to get the most out of your tutorial. Examples of what to specify include prior mathematical knowledge, knowledge of specific modeling approaches and methods, programming skills, or adjacent areas like computer vision. Also specify the number of expected participants.
A section called “Outline” in which the various topics are explained. This can be a list of bullet points or a set of paragraphs explaining the content. Explain what you intend and how long the tutorial will be.
A section called “Diversity Considerations”, discussing each of the three aspects of diversity mentioned above or others.
A section called “Reading List”: What are introductory papers or books that potential attendees can read to get a first impression of the tutorial content? What do you expect them to have read before attending? What does provide further information beyond the content of the tutorial?
A section called “Presenters” in which each tutorial presenter is briefly introduced in one paragraph, including their research interests, their areas of expertise for the tutorial topic, and their experience in teaching a diverse and international audience.
A section called “Other Information” which should include information on how many people are expected to participate and how you came to this estimate. You can also explain any other aspects that you find important, including special equipment that you would need.
A section called “Ethics Statement” which discusses ethical considerations related to the topics of the tutorial.
The proposals should be submitted no later than 31 July, 2024, 11:59 PM Samoa Standard Time (SST) (UTC/GMT-11, “anywhere on Earth”).
Submission is electronic. Please submit the proposals using the START system at this URL: https://softconf.com/coling2025/tutorialsCL25
Evaluation Criteria
The tutorial proposals will be evaluated according to their originality and impact, the expected interest level of participants, as well as the quality of the organizing team and Program Committee and their contribution to the diversity of the conference.
Each tutorial will be evaluated regarding its clarity and preparedness, novelty or timely character of the topic, the instructor’s experience, the audience interest, and the potential to increase diversity in our community.
Instructor Responsibilities
Accepted tutorial presenters will be notified by the date mentioned above. They must then provide abstracts of their tutorials for inclusion in the conference registration material by the specific deadlines. The abstract needs to be provided in ASCII format. The summary will be submitted in PDF format and can be updated from the version submitted for review. The instructors will make their material available in an appropriate way, for instance, by setting up a website. They will be invited to submit their slides to the ACL Anthology.
Tutorial Chairs
Email: coling25tutorialchairs(a)gmail.com
The tutorial chairs are:
Djamé Seddah, Senior Researcher, INRIA, Paris, Frace (on leave from Sorbonne University)
Shaonan Wang, Associate Professor at the Institute of Automation, Chinese Academy of Sciences, Beijing, China
Dear all!
We are delighted to invite you for submission to the Third Workshop on NLP
for Positive Impact!
Workshop website: https://sites.google.com/view/nlp4positiveimpact
Submission method: ACL Rolling Review (ARR)
Important Dates
We align our paper acceptance with the ARR cycles
<https://aclrollingreview.org/dates>:
Submission deadline: June ARR, i.e., June 15, 2024, 11:59pm AoE
Commitment deadline to the Workshop: August 20, 2024
Notification of Acceptance: September 20, 2024
Camera-Ready Papers Due: October 3, 2024
Workshop Date: co-located with EMNLP 2024 in November, Miami (exact date to
be announced)
All deadlines are 11:59 PM (Anywhere on Earth
<https://www.timeanddate.com/time/zones/aoe>)
Summary
The widespread and indispensable use of language-oriented AI systems
presents new opportunities to have a positive social impact. NLP
technologies are starting to mature to the point where they could have an
even broader impact, supporting the UN sustainability goals
<https://sdgs.un.org/goals> by helping to address big problems such as
poverty, hunger, healthcare, education, inequality, COVID-19 and climate
change.
Our workshop aims to promote innovative NLP research that will positively
impact society, focusing on responsible methods and new applications. We
will encourage submissions from areas including (but not limited to):
-
Work that grounds the impact of NLP: Beyond developing a
better-performing NLP model, can we make a step further to connect the
model to actual social impact? Example directions include: case studies
of real-world deployments; or improving the deployment and maintenance of
NLP models in practice.
-
In addition to commonly recognized NLP for social good areas such as NLP
for healthcare, mental well-being, and many others, we also call for work
on neglected areas such as NLP for poverty, hunger, energy, climate change,
among others.
-
We also highly value work that builds on interdisciplinary expertise,
and encourages submissions of case studies or worked examples that seek to
expand the social impact of NLP through collaboration with other fields
(e.g., philanthropy, social science, political science, economics, HCI).
Special theme: This year, we would like to encourage submission providing
solutions or concepts to address digital violence. Digital violence
encompasses various forms of violence that utilize digital tools and media,
such as cell phones, apps, internet applications, and emails, and occurs
within digital spaces like online portals and social platforms. We aim to
explore how modern NLP and AI technologies can contribute to enhancing
safety in digital environments. At the workshop, you will have an
opportunity to connect and share your results with NGO representatives from
this field!
Submission types:
Thus, we would appreciate to see various types of works on this (but not
only) topic like:
-
automatic identification of various social needs, their corresponding
sizes and demographics of people affected;
-
position papers to propose promising new tasks or directions that the
field should pursue;
-
literature review of a subfield;
-
philosophical discussions of what how positive impact can be achieved
with NLP methods;
-
approaches to interdisciplinary collaboration;
-
user study designs, user surveys;
-
ethical considerations, and other related topics.
Note that we want submissions to our workshop to have some distinctive
features of social good implications, beyond a general paper on NLP. We
will require each submission to discuss the ethical and societal
implications of their work, and encourage a discussion of what "positive
impact" means in the work.
Papers Format
Both long and short paper submissions should follow all of the ARR
submission requirements
<https://aclrollingreview.org/cfp#paper-submission-information>, including:
-
Long Papers <https://aclrollingreview.org/cfp#long-papers> (8
pages) and Short
Papers <https://aclrollingreview.org/cfp#short-papers> (4 pages)
-
Instructions for Two-Way Anonymized Review
<https://aclrollingreview.org/cfp#instructions-for-two-way-anonymized-review>
-
Authorship <https://aclrollingreview.org/cfp#authorship>
-
Citation and Comparison
<https://aclrollingreview.org/cfp#citation-and-comparison>
-
Multiple Submission Policy
<https://aclrollingreview.org/cfp#multiple-submission-policy>, Resubmission
Policy <https://aclrollingreview.org/cfp#resubmission-policy>, and
Withdrawal
Policy <https://aclrollingreview.org/cfp#withdrawal-policy>
-
Ethics Policy <https://aclrollingreview.org/cfp#ethics-policy> including
the responsible NLP research checklist
<https://aclrollingreview.org/responsibleNLPresearch>
-
Limitations <https://aclrollingreview.org/cfp#limitations>
-
Writing Assistance <https://2023.aclweb.org/blog/ACL-2023-policy/>
-
Paper Submission and Templates
<https://aclrollingreview.org/cfp#paper-submission-and-templates>
-
Optional Supplementary Materials
<https://aclrollingreview.org/cfp#optional-supplementary-materials-appendice…>
Organizers
Zhijing Jin (Max Planck Institute & ETH Zurich)
Daryna Dementieva (Technical University of Munich)
Steven Wilson (Oakland University)
Oana Ignat (University of Michigan)
Jieyu Zhao (University of Maryland, College Park)
Joel Tetreault (Dataminr, Inc.)
Rada Michaela (University of Michigan)
Contact Email
-
nlp4pi.workshop(a)gmail.com
All positive regards,
Daryna Dementieva
On behalf of NLP4PI Workshop Organizers