METRICS 2022: ASIS&T VIRTUAL WORKSHOP ON INFORMETRICS AND SCIENTOMETRICS
RESEARCH
Virtual workshop sponsored by ASIS&T SIG/MET
ASIS&T 2022 Annual Meeting
- Part I: Saturday, October 8, 2022, 8:00 a.m. – 12:00 p.m. EDT
- Part II: Sunday, October 9, 2022, 8:00 a.m. – 12:00 p.m. EDT
Website:
https://www.asist.org/2022/06/14/metrics-2022-asist-virtual-workshop-on-inf…
*CALL FOR ABSTRACTS*
The ASIS&T Special Interest Group for Metrics (SIG/MET) invites
contributions to the METRICS 2022 workshop, which will be held prior to the
85th ASIS&T Annual Meeting.
The workshop continues the successful SIG/MET workshop series held annually
since 2011 by providing an opportunity to present and discuss research
related to the measurement of knowledge production, dissemination, and use
among experienced researchers, young academics, and practitioners. We
invite abstracts describing empirical or theoretical work, related but not
limited to:
- Altmetrics
- Bibliometric-enhanced information retrieval
- Bibliometrics
- Informetrics
- Open access
- Open science
- Patent analysis
- Quantitative science studies
- Research evaluation
- Scholarly communication
- Science communication
- Science of science
- Scientometrics
*SUBMISSIONS*
The following four types of submission are accepted:
- *Research presentations*, for completed or in-progress research.
[Presentation]
- *Posters* for work in early stages or best presented visually. [Poster]
- *Tutorials* for practical information on a tool or method. [Tutorial]
- *Panels* for discussions on a specific topic. [Panel]
Please indicate the type of submission by naming the file in the following
format: Metrics22_First Author's Last Name + First Name Initials_Submission
Type (e.g., Metrics22_ChenPY_Presentation). All submissions should be in
the form of a *two-page extended abstract* using APA style and formatted
according to the AM22 Proposal Template Instructions
<https://growthzonesitesprod.azureedge.net/wp-content/uploads/sites/946/Temp…>.
Where appropriate, up to three figures/tables can be provided. Do not
include any author names on the file you upload.
The abstracts of accepted papers and posters, as well as the presentation
slides, will be deposited on Zenodo <https://zenodo.org/> to enhance the
visibility and retrievability of the presented research.
Please submit your abstract as a PDF to
https://easychair.org/conferences/?conf=metrics2022
*Submissions will be evaluated by at least two independent reviewers based
on their relevance to the workshop and their methodological soundness
(where applicable), and brief feedback will be given in narrative format.*
*AWARDS*
Thanks to the generous sponsorship from the International Center for the
Study of Research (ICSR) <https://www.elsevier.com/icsr>, the workshop will
present the *Best Student Paper Awards* and *Best Paper Award* this year to
recognize the excellence of the presenting work (excluding *posters*).
Up to three awardees will be selected for the Best Student Paper Awards. *To
be considered for the best student paper, the first author of the paper
entered into this contest must be a full-time student at the time of
submission*, irrespective of ASIS&T or SIG/MET membership. Please also
indicate Student on the name of the submitted file, e.g.,
Metrics22_ChenPY_Presentation_Student, even if the co-authors are
non-students.
One best paper will also be selected from all accepted papers regardless of
their topic. However, to ensure fairness, a paper cannot be awarded both as
best paper and best student paper at the same time. In other words, if a
student paper is selected to be the best paper, it will not be considered
for the best student paper awards.
*The winners of both awards will be decided by a double-blind peer review
process from the eligible accepted submissions.* The awards will be decided
before the presentations take place, but the authors must present at the
workshop to qualify. *We offer a cash prize of $500 for the Best Paper
Award and $250 for the Best Student Paper Award.*
*IMPORTANT DATES*
- Submissions due: Friday, July 22th, 2022 EDT
- Notifications: Friday, August 19th, 2022 EDT
*REGISTRATION*
In an effort to provide an open venue for communication and discussion on
metrics-related research, we are offering free registration for ASIS&T
members and discounted registration fees for non-members this year.
*Rate*
*Member/Regular*
*Member/Student*
*Non-member/Regular*
*Non-member/Student*
Early (by August 12)
$0
$0
$25
$10
After August 12
$25
$25
$50
$35
More information on registration rates can be found at
https://www.asist.org/am22/22registration/.
*ORGANIZERS*
- Pei-Ying Chen, Indiana University, Bloomington, Indiana, USA (
peiychen(a)iu.edu)
- Isabelle Dorsch, Heinrich Heine University Düsseldorf, Düsseldorf,
Germany (isabelle.dorsch.hhu.de)
- Fei Shu, Hangzhou Dianzi University, Hangzhou, China; Université de
Montréal, Montréal, Canada (fei.shu(a)mail.mcgill.ca)
*SPONSORS*
International Center for the Study of Research
<https://www.elsevier.com/icsr>
--
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Tirthankar Ghosal
Researcher at UFAL, Charles University, CZ
https://member.acm.org/~tghosal
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
The Multi3Generation COST Action (www.multi3generation.eu) aims at
promoting interdisciplinary research in Natural Language Generation,
combining computationally-oriented methodology with theories and
insights from the humanities (computational linguistics, psychology,
media studies, philological and literary studies, etc.)
The 2022 Multi3Generation training school on Creative Natural Language
Generation wants to foster interdisciplinary collaborations among
scholars and young researchers, delivering lectures, hands-on
sessions, and keynotes on the state-of-the-art methodologies of
Natural Language Generation and (computational) creativity.
Automatic generation of texts is an essential task in artificial
intelligence and is widely used to produce content shared on the web.
However, evaluation of fluency and grammaticality of automatically
created texts requires feedback provided by humans to improve the
quality of the training data. Collecting judgments is challenging, and
the annotation results' reproducibility is sometimes questioned.
Evaluation of text generated by computationally creative systems poses
further challenges: the output needs to be fluent while ensuring that
the content should also take into account the literature about
(computational) creativity for analysing creative output. Analysing
such creative output relies on the genre of the text and readers'
expectations.
The training school programme will address research questions such as:
- What are the theoretical aspects for evaluating the creativity of
artificially generated text?
- How crucial is the training set for generating plausible instances,
such as for metaphor generation?
- Are theoretical insights from literary studies suitable for
producing better training sets?
The training school is intended for academics at any stage of their
career (with priority given to Early Career Investigators), especially
if working with literary texts and datasets combining texts with images.
The training school will be held at the University Ca' Foscari in
Venice from 19 September to 23 September 2022.
The training school will take place over 5 days, combining theoretical
lessons with hands-on sessions and invited speakers' talks.
Invited speakers: Alexandra Balahur (Joint Research Centre European
Commission), Mario Montenapoleone (University of Salerno), Carlo
Strapparava (FBK), Tony Veale (University College Dublin)
Lecturers/Trainees: Khalid Alnajjar (University of Helsinki), Federico
Boschetti (CNR-ILC & VeDPH), Mika Hämäläinen (University of Helsinki),
Gianluca Lebani (Ca’ Foscari University of Venice), Monica Monachini
(CNR-ILC & CLARIN-IT), Cristina Mota (INESC-ID Lisboa), Ioannis
Pavlopoulos (Athens University of Economics and Business), Max
Silberztein (Université de Franche-Comté)
Organisers: Irene Russo (CNR-ILC), Federico Boschetti (CNR-ILC &
VeDPH), Max Silberztein (Université de Franche-Comté), Khalid Alnajjar
(University of Helsinki), Mika Hämäläinen (University of Helsinki)
The training school is organised with the support of the Venice Centre
for Digital and Public Humanities, DSU, Ca’ Foscari University of
Venice (https://www.unive.it/pag/39287) and with the support of
CLARIN-IT (https://clarin-it.it).
The application form is available at https://forms.gle/DjGHWsc99ZpkB1yMA
Selected participants will receive a grant to attend the training
school (see the application form for further details).
The deadline for applying is June 30, 2022.
Call for abstracts
International Semantics Conference (InSemantiC 2022)
In honorem Professor Fátima Oliveira
Porto, Faculty of Arts and Humanities of the University of Porto
21-23 November 2022
The Organizing Committee is pleased to announce the International Semantics
Conference -InSemantiC 2022 to be held in Porto, Faculty of Arts and
Humanities of the University of Porto, on 21-23 November 2022. Currently,
we are planning a live conference, but all measures will be taken to change
to hybrid mode if circumstances require it.
Conference aims and topics
The main purpose of this conference is to gather current research advances
in formal and experimental semantics and in the interface with other areas,
such as syntax, phonology, morphology, pragmatics, discourse analysis, text
linguistics, language acquisition, educational linguistics and
computational linguistics.
Program
The Scientific Program will include invited talks and oral presentations.
Invited Speakers
Brenda Laca, Universidad de la República, Uruguay
Hana Filip, Heinrich-Heine University Düsseldorf
Languages
English (preferentially) and Portuguese
Submissions and dates
Authors are invited to submit an abstract up to 10000 characters with
spaces including references.
Submissions must be anonymous and should be submitted electronically via
EasyChair:
https://easychair.org/conferences/?conf=insemantic2022
At least one author of each accepted abstract is required to register for
the conference, and present the work at the conference.
Important dates:
Time Zone: Anywhere on Earth
Abstracts due: July, 20, 2022
Abstract acceptance notifications: September, 20, 2022
Full papers due: February, 28, 2023
Full papers notifications: May, 15, 2023
Registration
20 September to 31 October:
-
Teachers and researchers – 70 euros
-
Students – 40 euros
After 31 October:
-
Teachers and researchers – 90 euros
-
Students – 50 euros
Publication
Accepted papers are expected to be published in a volume by an
international publisher.
Program committee
Amália Mendes (University of Lisbon, Portugal)
Ana Luísa Costa (Polytechnic Institute of Setúbal, Portugal)
Ana Madeira (NOVA University of Lisbon, Portugal)
Ana Maria Brito (University of Porto, Portugal)
Ana Maria Martins (University of Lisbon, Portugal)
Anabela Gonçalves (University of Lisbon, Portugal)
Angeles Carrasco Gutiérrez (University of Castilla-La Mancha, Spain)
Angeliek van Hout (University of Groningen, Netherlands)
Anne Theissen (University of Strasbourg, France)
Augusto Soares da Silva (Catholic University of Portugal – Braga, Portugal)
Bert le Bruyn (Utrecht University, Netherlands)
Brenda Laca (University of the Republic, Uruguay)
Clara Nunes Correia (NOVA University of Lisbon, Portugal)
Cristina Schmitt (Michigan State University, USA)
Georges Kleiber (University of Strasbourg, France)
Graça Rio-Torto (University of Coimbra, Portugal)
Hana Filip (University of Düsseldorf, Germany)
Idalina Ferreira (University of Porto, Portugal)
Ignacio Bosque (Complutense University of Madrid, Spain)
Inês Duarte (University of Lisbon, Portugal)
Isabel Margarida Duarte (University of Porto, Portugal)
João Veloso (University of Porto, Portugal)
Johan Van der Auwera (University of Antwerp, Belgium)
Lucía Quintana Hernández (University of Huelva, Spain)
Luís Filipe Cunha (University of Porto, Portugal)
Manuel Leonetti (Complutense University of Madrid)
Maria Antónia Coutinho (NOVA University of Lisbon, Portugal)
Maria da Graça Pinto (University of Porto, Portugal)
Oliver Bott (Bielefeld University, Germany)
Pablo Gamallo (University of Santiago de Compostela, Spain)
Rafael Marin (University of Lille, France)
Renato Basso (Federal University of São Carlos, Brazil)
Rodolfo Ilari (University of Campinas, Brazil)
Rui Marques (University of Lisbon, Portugal)
Telmo Móia (University of Lisbon, Portugal)
Organizing committee
Fátima Silva
Purificação Silvano
António Leal
Inês Cantante
Rute Rebouças
Faculty of Arts and Humanities of the University of Porto, CLUP, Porto,
Portugal
Contact: insemantic2022(a)gmail.com
Website: https://insemantic2022.weebly.com/
The main focus is on computational modeling of figurative language using state-of-the-art NLP techniques. However, papers on cognitive, linguistic, social, rhetorical, and applied aspects are also of interest, provided that they are presented within a computational, formal, or a quantitative framework. In addition, we will hold two shared tasks: grounded understanding of figurative language and euphemism detection.
The workshop is co-located with EMNLP 2022.
Paper submission deadline: September 7, 2022.
For more information about topics, dates, and types of papers, please visit https://sites.google.com/view/figlang2022.
________________________________
This e-mail and any files transmitted with it may contain privileged or confidential information. It is solely for use by the individual for whom it is intended, even if addressed incorrectly. If you received this e-mail in error, please notify the sender; do not disclose, copy, distribute, or take any action in reliance on the contents of this information; and delete it from your system. Any other use of this e-mail is prohibited.
Thank you for your compliance.
________________________________
Dear all,
Apologies for cross-posting. You are requested to please circulate it for
wider publicity.
.................................................................................................................................
=====
The 5th Workshop on Technologies for Machine Translation of
Low Resource Languages (LoResMT 2022)
https://sites.google.com/view/loresmt
@ COLING 2022
Gyeongju, Republic of Korea, October 12-17, 2022
SUBMISSION
https://www.softconf.com/coling2022/LoResMT_2022/
TIMELINE
Papers Due: July 18, 2022 (Monday)
Notification of Acceptance: August 22, 2022 (Monday)
Camera-ready papers due: September 5, 2022 (Monday)
Conference date: October 12-17, 2022
SCOPE
Based on the success of past low-resource machine translation (MT)
workshops at AMTA 2018 (https://amtaweb.org/), MT Summit 2019 (
https://www.mtsummit2019.com), AACL-IJCNLP 2020 (http://aacl2020.org/), and
AMTA 2021, we introduce the Fifth LoResMT workshop at COLING 2022. The
workshop provides a discussion panel for researchers working on MT
systems/methods for low-resource and under-represented languages in
general. We would like to help review/overview the state of MT for
low-resource languages and define the most important directions. We also
solicit papers dedicated to supplementary NLP tools that are used in any
language and especially in low-resource languages. Overview papers of these
NLP tools are very welcome. It will be beneficial if the evaluations of
these tools in research papers include their impact on the quality of MT
output.
TOPICS
We are highly interested in (1) original research papers, (2)
review/opinion papers, and (3) online systems on the topics below; however,
we welcome all novel ideas that cover research on low-resource languages.
- COVID-related corpora, their translations and corresponding NLP/MT systems
- Neural machine translation for low-resource languages
- Work that presents online systems for practical use by native speakers
- Word tokenizers/de-tokenizers for specific languages
- Word/morpheme segmenters for specific languages
- Alignment/Re-ordering tools for specific language pairs
- Use of morphology analyzers and/or morpheme segmenters in MT
- Multilingual/cross-lingual NLP tools for MT
- Corpora creation and curation technologies for low-resource languages
- Review of available parallel corpora for low-resource languages
- Research and review papers of MT methods for low-resource languages
- MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages
- Pivot MT for low-resource languages
- Zero-shot MT for low-resource languages
- Fast building of MT systems for low-resource languages
- Re-usability of existing MT systems for low-resource languages
- Machine translation for language preservation
SUBMISSION INFORMATION
We are soliciting two types of submissions: (1) research, review, and
position papers and (2) system demonstration papers. For research, review
and position papers, the length of each paper should be at least four (4)
and not exceed eight (8) pages, plus unlimited pages for references. For
system demonstration papers, the limit is four (4) pages. Submissions
should be formatted according to the official COLING 2022 style templates
(LaTeX, Word, Overleaf). Accepted papers will be published online in the
COLING 2022 proceedings and will be presented at the conference.
Submissions must be anonymized and should be done using the official
conference management system (
https://www.softconf.com/coling2022/LoResMT_2022/). Scientific papers that
have been or will be submitted to other venues must be declared as such and
must be withdrawn from the other venues if accepted and published at
LoResMT. The review will be double-blind.
We would like to encourage authors to cite papers written in ANY language
that are related to the topics, as long as both original bibliographic
items and their corresponding English translations are provided.
Registration is handled by the main conference (
https://coling2022.org/coling).
ORGANIZING COMMITTEE (LISTED ALPHABETICALLY)
Atul Kr. Ojha, DSI, National University of Ireland Galway & Panlingua
Language Processing LLP
Chao-Hong Liu, Potamu Research Ltd
Ekaterina Vylomova, University of Melbourne, Australia
Jade Abbott, Retro Rabbit
Jonathan Washington, Swarthmore College
Nathaniel Oco, National University (Philippines)
Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø
Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University
Varvara Logacheva, Skolkovo Institute of Science and Technology
Xiaobing Zhao, Minzu University of China
PROGRAM COMMITTEE (LISTED ALPHABETICALLY)
Alberto Poncelas, Rakuten, Singapore
Alina Karakanta, Fondazione Bruno Kessler
Amirhossein Tebbifakhr, Fondazione Bruno Kessler
Anna Currey, Amazon Web Services
Aswarth Abhilash Dara, Amazon
Arturo Oncevay, University of Edinburgh
Atul Kr. Ojha, DSI, National University of Ireland Galway & Panlingua
Language Processing LLP
Bharathi Raja Chakravarthi, DSI, National University of Ireland Galway
Beatrice Savold, University of Trento
Bogdan Babych, Heidelberg University
Chao-Hong Liu, Potamu Research Ltd
Duygu Ataman, University of Zurich
Ekaterina Vylomova, University of Melbourne, Australia
Eleni Metheniti, CLLE-CNRS and IRIT-CNRS
Francis Tyers, Indiana University
Kalika Bali, MSRI Bangalore, India
Koel Dutta Chowdhury, Saarland University (Germany)
Jade Abbott, Retro Rabbit
Jasper Kyle Catapang, University of the Philippines
John P. McCrae, DSI, National University of Ireland Galway
Liangyou Li, Noah’s Ark Lab, Huawei Technologies
Maria Art Antonette Clariño, University of the Philippines Los Baños
Mathias Müller, University of Zurich
Nathaniel Oco, National University (Philippines)
Rico Sennrich, University of Zurich
Sangjee Dondrub, Qinghai Normal University
Santanu Pal, WIPRO AI
Sardana Ivanova, University of Helsinki
Shantipriya Parida, Silo AI
Sina Ahmadi, DSI, National University of Ireland Galway
Sunit Bhattacharya, Charles University
Surafel Melaku Lakew, Amazon AI
Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø
Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University
CONTACT
Please email loresmt(a)googlegroups.com if you have any
questions/comments/suggestions.
Thanks,
Atul
The 2022 SIGNLL Conference on Computational Natural Language Learning
(CoNLL 2022, Co-located with EMNLP 2022)
Website: https://conll.org/
SIGNLL invites submissions to the 26th Conference on Computational Natural Language Learning (CoNLL 2022). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications.
Such approaches include:
- Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP
- Models of first, second and bilingual language acquisition by humans
- Models of language evolution and change
- Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments
- Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods
- Data resources, techniques and tools for scientifically-oriented research in computational linguistics
- Connections between computational models and formal languages or linguistic theories
- Linguistic typology, translation, and other multilingual work
- Theoretically, cognitively and scientifically motivated approaches to text generation
We welcome work targeting any aspect of language, including:
- Speech and phonology
- Syntax and morphology
- Lexical, compositional and discourse semantics
- Dialogue and interactive language use
- Sociolinguistics
- Multimodal and grounded language learning
We do not restrict the topic of submissions to fall into this list. However, the submissions’ relevance to the conference’s focus on theoretically, cognitively and scientifically motivated approaches will play an important role in the review process.
Submitted papers must be anonymous and use the EMNLP 2022 template. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed, according to the EMNLP 2022 guidelines. Please refer to the EMNLP 2022 Call for Papers for more details on the submission format. Submission is electronic, using the Softconf START conference management system.
CoNLL adheres to the ACL anonymity policy, as described in the EMNLP 2022 Call for Papers. Briefly, non-anonymized manuscripts submitted to CoNLL cannot be posted to preprint websites such as arXiv or advertised on social media after May 30th, 2022.
Multiple submission policy
CoNLL 2022 will not accept papers that are currently under submission, or that will be submitted to other meetings or publications, including EMNLP. Papers submitted elsewhere as well as papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere will be rejected. Authors submitting more than one paper to CoNLL 2022 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results.
CoNLL 2022 has the same policy as EMNLP 2022 regarding ARR submissions. This means that CoNLL 2022 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline. We follow the EMNLP policy for papers that were previously submitted to ARR, or significantly overlap (>25%) with such submissions.
Important Dates
Anonymity period begins: May 30th, 2022
Submission deadline for START direct submissions: Thursday June 30th, 2022
Commitment deadline for ARR papers: August 1st, 2022
Notification of acceptance: Mid-September, 2022
Camera ready papers due: October 15th, 2022
Conference: December 7th, 8th, 2022
All deadlines are at 11:59pm UTC-12h ("anywhere on earth").
The independent research group Trustworthy Human Language Technologies (TrustHLT) at the Department of Computer Science of the Technical University of Darmstadt, Germany has a job opening for a
Postdoctoral researcher (m/f/d)
in the recently acquired project “PrivaLingo: Truly Privacy-Preserving Machine Translation” by Dr. Ivan Habernal.
This position will focus on a broad range of research questions related to privacy-preserving NLP models with a special focus on neural machine translation. A solid background in machine learning for natural language processing is essential, prior experience with differential privacy in model training is a plus. Wages and salaries are based on the collective agreement applicable to the TU Darmstadt (TV-TU Darmstadt). The starting date is as soon as possible, the position is funded until April 2024.
Candidates
The ideal candidate hold a PhD degree in computer science, computational linguistics, machine learning, or a related discipline, has a strong interest in privacy in natural language processing, excellent analytical and programming skills, is a team player, and is fluent in English.
Diversity
TU Darmstadt is strongly committed to diversity and particularly welcomes applications from members of underrepresented groups. Applications from female candidates are highly encouraged.
Team
TrustHLT is an independent research group led by Dr. Ivan Habernal, appointed at the Department of Computer Science of the Technical University of Darmstadt. The group conducts research in the field of natural language processing with a focus on privacy-preserving technologies and legal argumentation, see www.trusthlt.org for more details. The Department of Computer Science at TU Darmstadt regularly ranks among the top in Germany.
Application
Please send your detailed CV including a publication list, names of two referees, and a letter of motivation outlining your research interests to ivan.habernal(a)tu-darmstadt.de, subject: “Postdoc application PrivaLingo”. Send all documents as a single PDF (“PDF Arranger” is a helpful tool, for instance). Please do not hesitate to contact Dr. Habernal should you have any further questions. Deadline for applications is June 30, 2022. Applications arriving after the deadline will still be considered if the position is not filled yet.