INTRODUCTION
The CLEF Initiative (Conference and Labs of the Evaluation Forum) is a self-organized body whose main mission is to promote research, innovation, and development of information access systems with an emphasis on multilingual and multimodal information with various levels of structure.
The CLEF Initiative is structured in two main parts:
- a series of Evaluation Labs, i.e. laboratories to conduct evaluation of information access systems and workshops to discuss and pilot innovative evaluation activities;
- a peer-reviewed Conference on a broad range of issues, including
- investigation continuing the activities of the Evaluation Labs;
- experiments using multilingual and multimodal data; in particular, but not only, data resulting from CLEF activities;
- research in evaluation methodologies and challenges.
Since 2000 CLEF has played a leading role in stimulating investigation and research in a wide range of key areas in the information retrieval domain. It has promoted the study and implementation of appropriate evaluation methodologies for diverse types of tasks and media. Over the years, a wide, strong, and multidisciplinary research community has been built, which covers and spans the different areas of expertise needed to deal with the breadth of CLEF activities, making CLEF one of the top
CALL FOR BIDS
The CLEF Steering Committee solicits proposals from groups interested in organizing the CLEF conference and labs in September 2024.
Groups submitting a bid for CLEF 2024 also commit themselves to collect membership fees on behalf of the CLEF Association and to pass them to the CLEF Association.
Guidelines on submitting a bid can be found in the Template for Bids available at:
https://www.clef-initiative.eu/documents/71612/87713/CLEF-Initiative-Templa… <http://www.clef-initiative.eu/documents/71612/60f6dc78-cc9a-4866-97bc-a4bc8…>
Bids must be submitted by **Friday, December 11th, 2022** by email to the Steering Committee Chair Nicola Ferro (chair(a)clef-initiative.eu <mailto:chair@clef-initiative.eu>).
The Steering Committee will review and select the proposals. The Steering Committee can ask for modifications and changes to the proposals, if deemed necessary.
Interested parties can contact the Steering Committee Chair Nicola Ferro (chair(a)clef-initiative.eu <mailto:chair@clef-initiative.eu>) to receive further details.
IMPORTANT DATES
- Bid submission deadline: Friday, December 11th, 2022
- Feedback to bidders and discussion: December 2022
- Bid selection: early January 2023
STEERING COMMITTEE
- Martin Braschler, Zurich University of Applied Sciences, Switzerland
- Khalid Choukri, Evaluations and Language resources Distribution Agency (ELDA), France
- Fabio Crestani, Università della Svizzera italiana, Switzerland
- Carsten Eickhoff, Brown University, USA
- Nicola Ferro, University of Padua, Italy
- Norbert Fuhr, University of Duisburg-Essen, Germany
- Lorraine Goeuriot, Université Grenoble Alpes, France
- Julio Gonzalo, National Distance Education University (UNED), Spain
- Donna Harman, National Institute for Standards and Technology (NIST), USA
- Bogdan Ionescu, University Politehnica of Bucharest, Romania
- Evangelos Kanoulas, University of Amsterdam, The Netherlands
- Birger Larsen, University of Aalborg, Denmark
- David E. Losada, Universidade de Santiago de Compostela, Spain
- Mihai Lupu, Vienna University of Technology, Austria
- Maria Maistro, University of Copenhagen, Denmark
- Josiane Mothe, IRIT, Université de Toulouse, France
- Henning Müller, University of Applied Sciences Western Switzerland (HES-SO), Switzerland
- Jian-Yun Nie, Université de Montréal, Canada
- Paolo Rosso, Universitat Politècnica de València, Spain
- Eric SanJuan, University of Avignon, France
- Giuseppe Santucci, Sapienza University of Rome, Italy
- Jacques Savoy, University of Neuch\^{e}tel, Switzerland
- Laure Soulier, Pierre and Marie Curie University (Paris 6), France
- Theodora Tsikrika, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Greece
- Christa Womser-Hacker, University of Hildesheim, Germany
Apologies for the multiple postings.
----
*Indian Language Summarization (ILSUM 2022)*
Website: https://ilsum.github.io/
To be organized in conjunction with FIRE 2022 (fire.irsi.res.in)
9th-13th December 2022 (Hybrid Event, hosted in Kolkata)
-------------------------------------------------------
The first shared task on Indian Language Summarization (ILSUM) aims at
creating an evaluation benchmark dataset for Indian Languages. While
large-scale datasets exist for a number of languages like English, Chinese,
French, German, Spanish, etc. no such datasets exist for any Indian
languages. Through this shared task, we aim to bridge the existing gap.
In the first edition, we cover two major Indian languages Hindi and
Gujarati alongside Indian English, a widely recognized dialect of the
English Language. It is a classic summarization task, where we will provide
~10,000 article-summary pairs for each language and the participants are
expected to generate a fixed-length summary.
*Timeline*
-------------
8th June - Task announced and Registrations open
22nd June - Training Data Release
30th August - Test Data Release
10th September - Run Submission Deadline
15th September - Results Declared
5th October - Working notes due
9th-13th December - FIRE 2022 (Hybrid Event hosted at Kolkata)
*Organisers*
----------------
Bhavan Modha, University of Texas at Dallas, USA
Shrey Satapara, Indian Institute of Technology, Hyderabad, India
Sandip Modha, LDRP-ITR, Gandhinagar, India
Parth Mehta, Parmonic, USA
*For regular updates subscribe to our mailing list: **ilsum(a)googlegroups.com
<+ilsum(a)googlegroups.com>*
Regards,
Parth Mehta
Co-organiser, ILSUM 2022
We're Hiring! An Assistant Professor on a Tenure-Track Position at CLTL
Vrije Universiteit Amsterdam
Applications by 9 September 2022 (timezone CEST!)
https://workingat.vu.nl/ad/tenure-track-assistant-professor-computational-l…
Full description:
We are looking for a passionate researcher who is eager to train a new generation of students in Natural Language Processing and Text Mining and to join us in resolving many mysteries of language modeling, understanding and generation.
Do you have a background in computational linguistics and/or text mining? Do you enjoy teaching and are you interested in research where Natural Language Processing (NLP) is applied in various domains? Would you like to work in an enthusiastic, multidisciplinary team of NLP researchers? Then please, do apply for this position at the Vrije Universiteit Amsterdam.
Location: AMSTERDAM
FTE: 0.8 - 1
Position: Assistant Professor
JOB DESCRIPTION
As an Assistant Professor you will be teaching in our BA and MA programs for Natural Language Processing and Text Mining as well as the MSc program in Artificial Intelligence. You are also expected to do research, collaborate in projects, and submit your own research proposals.
Your duties
* teach courses in Natural Language Processing
* supervise MA theses
* research in Natural Language Processing
* (co)-supervise PhD students
REQUIREMENTS
* PhD in computational linguistics or a PhD in computer science with specialization in computational linguistics
* knowledge of and experience with the latest methods in NLP
* experience in teaching on the topic of NLP at University level
* solid publication record
WHAT ARE WE OFFERING?
We offer a tenure-track position at the level of Assistant Professor for the duration of 5 years starting 1 December 2022. Tenure can be achieved if the faculty criteria for Assistant Professor are fulfilled. For the duration of the tenure track, performance will be evaluated in terms of teaching, publication record, attempts to acquire research funding either individually or in consortia, academic service and valorisation.
On full-time basis the remuneration amounts to a minimum gross monthly salary of €2,960 (scale 10) and a maximum €5,439 (scale 11), depending on your education and experience. The job profile: is based on the university job ranking system and is vacant for at least 0.8 FTE.
Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:
* a maximum of 41 days of annual leave based on full-time employment
* 8% holiday allowance and 8.3% end-of-year bonus
* contribution to commuting expenses
* optional model for designing a personalized benefits package
ABOUT VRIJE UNIVERSITEIT AMSTERDAM
The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. We strive to be a university where personal development and commitment to society play a leading role. A university where people from different disciplines and backgrounds collaborate to achieve innovations and to generate new knowledge. Our teaching and research encompass the entire spectrum of academic endeavor – from the humanities, the social sciences and the natural sciences through to the life sciences and the medical sciences.
Vrije Universiteit Amsterdam is home to more than 30,000 students. We employ over 5,500 individuals. The VU campus is easily accessible and located in the heart of Amsterdam’s Zuidas district, a truly inspiring environment for teaching and research.
Diversity
We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences.
Faculty of Humanities
The Faculty of Humanities links a number of fields of study: Language, Literature and Communication, Art & Culture, History, Antiquities and Philosophy. Our teaching and research focus on current societal and scientific themes: from artificial intelligence to visual culture, from urbanization to the history of slavery, from ‘fake news’ in journalism to communication in organizations. We strive to ensure small group sizes. Innovative education and interdisciplinary research are our hallmarks.
Working at the Faculty of Humanities means making a real contribution to the quality of leading education and research in an inspiring and personal work and study climate. We employ more than 350 staff members, and we are home to around 2,000 students.
About the department
The Computational Linguistics and Text Mining Lab (CLTL) at the Vrije Universiteit Amsterdam is one of the leading groups in the area of multilingual language understanding, language modeling and resources and human-robot communication.
Check out our website at: www.cltl.nl<http://www.cltl.nl/> for more details about our research and teaching.
APPLICATION
Are you interested in this position? Please apply via the application button and upload your curriculum vitae and cover letter until 9 September 2022. A first round of job interviews are planned for the second half of September, when possible please take that into account when applying for the position.
Applications received by e-mail will not be processed.
Vacancy questions
If you have any questions regarding this vacancy, you may contact:
Name: Piek Vossen and/or Antske Fokkens
Position: Full Professors
E-mail: piek.vossen(a)vu.nl<mailto:piek.vossen@vu.nl> / antske.fokkens(a)vu.nl<mailto:antske.fokkens@vu.nl>
Telephone: +31 20 59 86457
No agencies
--
prof. dr. Antske Fokkens
Computational Linguistics & Text Mining Lab, Vrije Universiteit Amsterdam
Algorithms, Geometry & Applications, Eindhoven University of Technology
Dear colleagues,
we have a number of open jobs in various exciting AI and NLP projects
(OpenGPT-X, NFDI4DataScience, DataBri-X) at DFKI in Berlin:
1/5 OpenGPT-X: Researcher (m/f/d) – language models and language modelling
–
https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0language-models-4…
2/5 OpenGPT-X: Researcher or software engineer (m/f/d) – Gaia-X and
infrastructure (especially European Language Grid) –
https://jobs.dfki.de/ausschreibung/researcher-m-w-d-oder-softwareengineer-m…
3/5 and 4/5 NFDI4DataScience and AI: Researcher (m/f/d) – NLP and research
data infrastructure –
https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0nfdi4datascience-…
5/5 DataBri-X: Researcher (m/f/d) – Language Technology, NLP and Data –
https://jobs.dfki.de/ausschreibung/researcher-m-w-d-%C2%A0language-and-data…
The application deadline for all vacancies is 26 August.
Please circulate this message to any colleagues or friends who could be
interested in one of the roles. Many thanks! In case of questions, I'm
happy to help, of course.
Best regards,
Georg
--
*Prof. Dr. Georg Rehm <http://georg-re.hm/>*
Principal Researcher and Research Fellow
[image: DFKI] <http://www.dfki.de/>
DFKI GmbH <http://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany
Phone: +49 30 23895-1833
georg.rehm(a)dfki.de
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH
Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern
Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer
Vorsitzender des Aufsichtsrats: Dr. Gabriël Clemens
Amtsgericht Kaiserslautern, HRB 2313
Dear colleagues,
We want to share one piece of news (ERAI shared task' English dataset is
released) and remind the deadline of FinNLP-2022@EMNLP:
https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2022-emnlp/home
*(1) Evaluating the Rationales of Amateur Investors (ERAI) Shared Task*The
goal of ERAI is to sort out the opinions that would lead to higher maximal
potential profit (MPP) and lower maximal loss (ML). We focus on amateur
investors' opinions, and pay attention to two settings: (1) Pairwise
Comparison and (2) Unsupervised Ranking. The posts are written in Chinese,
and *we also provide the translated version in English*. Thus, even if you
are not familiar with Chinese, you can also join us. Registration Form:
https://forms.gle/noHYdwxr1ymh36S58
*(2) FinNLP-2022 Main Track*
We invite submissions of research papers on all topics related to NLP for
Financial Technology (FinTech) applications. Besides, one of our goals of
this workshop is to foster collaboration between researchers and developers
from computational linguistics and finance and economic areas. Original
studies reporting joint work are therefore especially encouraged. We offer
USD$500 to the *Best Paper Award *winner. Submission *Deadline: Sep 7*,
2022 (https://softconf.com/emnlp2022/FinNLP/)
Looking forward to meeting you soon at FinNLP@EMNLP-2022.
Best Regards,
FinNLP Organizers
FinNLP-2022: The 4th Workshop on Financial Technology and Natural Language
Processing
EMNLP @ Abu Dhabi National Exhibition Centre
Abu Dhabi, UAE, December 8, 2022
Conference website
https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2022-emnlp/home
Submission deadline September 7, 2022
*FinNLP has become a twice-a-year workshop since 2022.* In H1, it keeps in
conjunction with IJCAI; in H2, it starts to colocated with EMNLP. The aim
of this workshop is to provide a forum where international participants
share knowledge on applying NLP to the FinTech domain. Recently, analyzing
documents related to finance and economics has attracted much attention in
the AI community. In the financial field, FinTech is a new industry that
focuses on improving financial activity with technology. Thus, in order to
bridge the gap between the NLP research and the financial applications, we
organize FinNLP workshop series. One of the expected accomplishments of
FinNLP is to introduce insights from the financial domain to the NLP
community. With the sharing of the researchers in FinNLP, the challenging
problems of blending FinTech and NLP will be identified, and the future
research direction will be shaped. That can broaden the scope of this
interdisciplinary research area.
Submission Guidelines
All papers must be original and not simultaneously submitted to another
journal or conference. The following paper categories are welcome:
-
*Long Paper:* May consist of up to 8 pages of content, plus unlimited
pages for references and appendix.
-
*Short Paper and Demo Paper: *May consist of up to 4 pages of content,
plus unlimited references and appendix.
List of Topics
We invite submissions of research papers on all topics related to NLP for
Financial Technology (FinTech) applications. Besides, one of our goals of
this workshop is to foster collaboration between researchers and developers
from computational linguistics and finance and economic areas. Original
studies reporting joint work are therefore especially encouraged. Topics of
interest include, but are not limited to:
-
Text-based Market Provisioning
-
NLP-based Investment Management
-
Crowdfunding Analysis with Text Data
-
Text-oriented Customer Preference Analysis
-
Insurance Application with Textual Information
-
NLP-based Know Your Customer (KYC) Approach
-
Applications or Systems for FinTech with NLP Methods
CommitteesProgram Committee
-
Hiroki Sakaji - The University of Tokyo
-
Emmanuele Chersoni - The Hong Kong Polytechnic University
-
Kiyoshi Izumi - The University of Tokyo
-
Pablo Duboue - Textualization Software Ltd.
-
Juyeon Kang - Fortia Financial Solutions
-
Paulo Alves - Católica Porto Business School
-
Luciano Del Corro - Microsoft Research
-
Chuan-Ju Wang - Academia Sinica
-
Ismail El Maarouf - Imprevicible
-
Damir Cavar - Indiana University
Organizing Committee
<http://cjchen.nlpfin.com/>
- <http://cjchen.nlpfin.com/>
<http://cjchen.nlpfin.com/>Chung-Chi Chen
<http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2F~cjchen%2F&s…>
- Artificial Intelligence Research Center, National Institute of
Advanced Industrial Science and Technology, Japan
-
Hen-Hsen Huang
<http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2F~hhhuang%2F&…>
- Institute of Information Science, Academia Sinica, Taiwan
-
Hiroya Takamura
<http://www.google.com/url?q=http%3A%2F%2Fwww.lr.pi.titech.ac.jp%2F~takamura…>
- Artificial Intelligence Research Center, National Institute of
Advanced Industrial Science and Technology, Japan
-
Hsin-Hsi Chen
<http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2Fadvisor.php&…>
- Department of Computer Science and Information Engineering, National
Taiwan University, Taiwan
Venue
The conference will be held in conjunction with EMNLP-2022 on December 8,
Abu Dhabi, United Arab Emirates
Contact
All questions about submissions should be emailed to
finnlp(a)nlg.csie.ntu.edu.tw
Corrected URL:
COLING 2022 Fifth Workshop on NLP for Internet Freedom (NLP4IF):
Censorship, Disinformation, and Propaganda
Workshop website: http://www.netcopia.net/nlp4if/
Co-located with COLING-2022, Oct 12-17, Gyeongju, Republic of Korea
*Submission deadline: August 18, 2022 (23:59 PM Pacific Standard Time)*
NLP4IF (http://www.netcopia.net/nlp4if/ is dedicated to NLP methods
that potentially contribute (either positively or negatively) to the free
flow of information on the Internet, or to our understanding of the issues
that arise in this area. We hope that our workshop will have a
transformative
impact on society by getting closer to achieving Internet freedom in
countries where accessing and sharing of information are strictly controlled
by censorship.
The topics of interest include (but are not limited) to the following:
Censorship detection: detecting deleted or edited text; detecting blocked
keywords/banned terms;
Censorship circumvention techniques: linguistically inspired countermeasure
for Internet censorship such as keyword substitution, expanding coverage of
existing banned terms, text paraphrasing, linguistic steganography,
generating information morphs etc.;
Identification of propaganda at different granularity levels: text
fragment,
document, and full website
Detection of self-censorship;
Identifying potentially censorable content;
Disinformation/Misinformation detection: fake news, fake accounts, rumor
detection, etc.;
Identification of hate speech and offensive language
(Comparative) analysis of the language of propagandistic and biased texts
Automatic generation of persuasive content
Automatic debiasing of news content
Tools to facilitate the flagging, either automatic or manual, of propaganda
and bias in social media
Automatic detection of coordinated propaganda campaigns such as the use of
social bots, botnets, and water armies
Analysis of diffusion and consumption of propagandistic, hyperpartisan, and
extremely biased content in social media
Techniques to empirically measure Internet censorship across communication
platforms;
Investigations on covert linguistic communication and its limits;
Identity and private information detection;
Passive and targeted surveillance techniques;
Ethics in NLP;
“Walled gardens”, personalization and fragmentation of the online public
space;
Multiple submission policy: papers that are under review in another COLING
workshop at the time of submission will not be considered.
Submission page: https://www.softconf.com/coling2022/NLP4IF
Formatting requirements: https://coling2022.org/Submission
Important Dates
* Submission deadline: August 18, 2022 (23:59 PM Pacific Standard Time)
* Camera-ready papers due: September 5, 2022
* Workshop: co-located with COLING-2022, October 12-17, 2022
COLING 2022 Fifth Workshop on NLP for Internet Freedom (NLP4IF):
Censorship, Disinformation, and Propaganda
Workshop website: http://netsci.montclair.edu/nlp4if/
Co-located with COLING-2022, Oct 12-17, Gyeongju, Republic of Korea
*Submission deadline: August 18, 2022 (23:59 PM Pacific Standard Time)*
NLP4IF (http://netsci.montclair.edu/nlp4if/ is dedicated to NLP methods
that potentially contribute (either positively or negatively) to the free
flow of information on the Internet, or to our understanding of the issues
that arise in this area. We hope that our workshop will have a
transformative
impact on society by getting closer to achieving Internet freedom in
countries where accessing and sharing of information are strictly controlled
by censorship.
The topics of interest include (but are not limited) to the following:
Censorship detection: detecting deleted or edited text; detecting blocked
keywords/banned terms;
Censorship circumvention techniques: linguistically inspired countermeasure
for Internet censorship such as keyword substitution, expanding coverage of
existing banned terms, text paraphrasing, linguistic steganography,
generating information morphs etc.;
Identification of propaganda at different granularity levels: text
fragment,
document, and full website
Detection of self-censorship;
Identifying potentially censorable content;
Disinformation/Misinformation detection: fake news, fake accounts, rumor
detection, etc.;
Identification of hate speech and offensive language
(Comparative) analysis of the language of propagandistic and biased texts
Automatic generation of persuasive content
Automatic debiasing of news content
Tools to facilitate the flagging, either automatic or manual, of propaganda
and bias in social media
Automatic detection of coordinated propaganda campaigns such as the use of
social bots, botnets, and water armies
Analysis of diffusion and consumption of propagandistic, hyperpartisan, and
extremely biased content in social media
Techniques to empirically measure Internet censorship across communication
platforms;
Investigations on covert linguistic communication and its limits;
Identity and private information detection;
Passive and targeted surveillance techniques;
Ethics in NLP;
“Walled gardens”, personalization and fragmentation of the online public
space;
Multiple submission policy: papers that are under review in another COLING
workshop at the time of submission will not be considered.
Submission page: https://www.softconf.com/coling2022/NLP4IF
Formatting requirements: https://coling2022.org/Submission
Important Dates
* Submission deadline: August 18, 2022 (23:59 PM Pacific Standard Time)
* Camera-ready papers due: September 5, 2022
* Workshop: co-located with COLING-2022, October 12-17, 2022
Workshop on Natural Legal Language Processing (NLLP) 2022
8 December 2022
Abu Dhabi, UAE & Online
Collocated with EMNLP 2022
Website: http://nllpw.org/workshop - Twitter: @nllpworkshop - Contact: nllp.chairs(a)gmail.com
Sponsors: Bloomberg and LBox
Following the success of the first three editions of the NLLP workshop (NAACL 2019, KDD 2020, EMNLP 2021), we aim to bring researchers and practitioners from NLP, machine learning and other artificial intelligence disciplines together with legal practitioners and researchers.
= Topics =
We welcome all submissions describing original work with one or more of the following contribution types:
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 and 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
= Submissions =
We accept papers reporting original (unpublished) research of two types:
- Long papers (max 8 pages + references)
- Short papers (max 4 pages + references)
To submit a paper, please access the submission link: https://softconf.com/emnlp2022/NLLP
Conference proceedings will be published on the ACL Anthology (https://aclanthology.org/).
= 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 workshop 2022 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 or 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 15 October 2022. This should include submissions to ARR for the 1 September deadline.
= 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 and Word). Please follow the paper formatting guidelines general to "*ACL" conferences available (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)
= Important Dates =
Submission deadline: 26 September 2022
Notification: 12 October 2022
ARR Commitment deadline: 15 October 2022
Camera ready: 26 October 2022
Workshop: 8 December 2020
All deadlines are 11.59 pm UTC -12h.
= Presentation =
Presentation format and schedule will be announced before the camera-ready deadline.
At least one author of each accepted paper must register for the NLLP 2022 by the registration deadline in order for the submission to be published in the proceedings.
= Organizing Committee =
Nikolaos Aletras ― University of Sheffield
Leslie Barrett ― Bloomberg Law
Ilias Chalkidis ― University of Copenhagen
Catalina Goanta ― Utrecht University
Daniel Preotiuc-Pietro ― Bloomberg
School of Computing and Communications
Salary: £29,619 to £34,308
Closing Date: Friday 26 August 2022
Interview Date: To be confirmed
Reference: 0809-22
https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0809-22
The School of Computing and Communications (SCC) within Lancaster University’s Faculty of Science and Technology, is seeking to appoint a Research Associate (RA) to work on two connected research projects on Natural Language Processing (NLP) for the Welsh language. FreeTxt/TestunRhydd (https://ucrel.lancs.ac.uk/freetxt/) is funded by the AHRC as a follow-on funding for impact and engagement project. Thesawrws (https://corcencc.org/thesawrws/) is funded by the Welsh Government and will use word embeddings and other NLP techniques to create an open-access, freely-available online thesaurus of contemporary Welsh.
Working together with project partners at Cardiff University (led by Dr Dawn Knight as PI), and stakeholders in the FreeTxt/TestunRhydd project advisory group (National Trust Wales, Cadw, National Museum Wales), the RA will continue the co-design, development and implementation of a well documented and thoroughly tested Streamlit web-based software prototype for supporting bilingual free-text survey and questionnaire data analysis. While a range of sophisticated digital tools for the analysis of text-based data are already available, particularly for researchers working in academia, in marketing and public relations contexts etc., many of the digital resources used are not necessarily affordable, quick and easy to use, and/or accessible to non-expert users. Specifically, these tools currently do not fully support the task of systematically processing free-text responses in Welsh. The FreeTxt/TestunRhydd project aims to bridge this gap between quantitative and qualitative forms of survey data by building the novel FreeTxt toolkit which is designed to support the analysis and visualisation of multiple forms of open-ended, free-text data in both English and Welsh.
In the Thesawrws project, the RA will work on developing an open-access, freely available online thesaurus of the Welsh language, for Welsh speakers and learners alike. The RA’s work will draw on pre-existing word embeddings to find related words, and the CorCenCC project Welsh semantic tagger and human evaluators to refine the similarities to enhance this resource. For the language user, this represents a valuable resource which goes beyond traditional thesauri and it will be available publicly as a fully bilingual, user-friendly website, released via the main CorCenCC project website (http://www.corcencc.org/).
The RA will be part of an internationally recognised centre of expertise for corpus-based natural language processing (UCREL), and will work directly with Professor Paul Rayson and Dr Mo El-Haj in SCC. For more details, please see the associated job description and person specification for this position. Potential candidates can also make informal enquiries to Professor Paul Rayson (p.rayson(a)lancaster.ac.uk<mailto:p.rayson@lancaster.ac.uk>) and Dr Mo El-Haj (m.el-haj(a)lancaster.ac.uk<mailto:m.el-haj@lancaster.ac.uk>).
This is a full-time position expected to start in September 2022, and the RA will join on an indefinite contract, however the role remains contingent on external funding, which for this position which for this position ends 10th March 2023.
Lancaster University are committed to family-friendly and flexible working policies on an individual basis. The School is also an Athena Swan Bronze Award holder, driving good employment practice and initiatives to address gender inequalities in Computing higher education and research. We welcome applications from people in all diversity groups.
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Paul Rayson
Director of UCREL and Professor of Natural Language Processing
Group Lead (SCC Data Science)
School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK.
Web: http://www.research.lancs.ac.uk/portal/en/people/Paul-Rayson/
Tel: +44 1524 510357
Contact me on Teams<https://teams.microsoft.com/l/chat/0/0?users=p.rayson@lancaster.ac.uk>
We are hosting a workshop at the Automated Knowledge Base Construction (AKBC) 2022 Conference. This is a non-archival event and we welcome work in progress/published works.
Call for Abstracts
We encourage submissions of abstracts relevant to knowledge graphs, NLP, and broader financial/economics research that could benefit from the use of KGs or NLP. These submissions may be previously published papers, new research, or works in progress. Accepted submissions may be asked to present their research at a presentation, lighting talk, or panel during the conference. For more information on the conference, please visit our website.
Formatting guidelines
Length between ½ - 1 page (not including references)
PDF, Word, or Text file
Include all authors
Submit your abstract at https://finance-at-akbc.bubbleapps.io/submit
Topics include but are not limited to
Using KGs to represent relationships among companies and industries
Automatic new industry and theme detection
Identifying and representing supply chains
Data sources and annotation for KGs in finance and economics
Economic value of the data produced by KGs
Knowledge graph entity hierarchy induction
Combining numerical and semantic information in KGs
Bootstrap KGs from public data sources other than Wikipedia
Committee Members
Dr. Ye Tian (University College London, Theia Insights)
Ben Jones (Nasdaq)
Dr. Gaurav Singh (Binance)
Dr. Migael Strydom (Theia Insights)
Dr. Pranava Madhyastha (City University of London)
Ioannis Dourats (Meta)
Dr. Lemin Wu (Theia Insights)
Pietro Lesci (University of Cambridge)
Nathan Burton (Theia Insights)
Caitlin Walsh (Theia Insights)
If you have any questions, please contact caitlin(a)theiainsights.com.