[SECOND CALL FOR PAPERS]
Greetings,
InqBnB4 workshop: Inquisitiveness Below and Beyond the Sentence Boundary
Nancy (France), 20 June 2023, hosted by IWCS 2023
https://iwcs2023.loria.fr/inqbnb4-inquisitiveness-below-and-beyond-the-sent…
InqBnB is a workshop series bringing together researchers interested in the semantics and
pragmatics of interrogatives (questions or embedded interrogative clauses). This series was
originally organized by the Inquisitive Semantics Group of the Institute for Logic, Language
and Computation (ILLC) from the University of Amsterdam. As such, the focus point mainly
revolves around analyses using or related to inquisitive semantics.
After three successful editions in the Netherlands, we hope to open the inquisitive community
to a wider audience. The 4th edition is planned on 20 June 2023, just before IWCS 2023
(Internation Conference on Computational Semantics). As invited speakers we are welcoming
Wataru Uegaki (University of Edinburgh) and Todor Koev (Universit��t Konstanz).
InqBnB4 invites submissions on original and unpublished research focussed on the properties
of inquisitive content. We are mainly interested in theoretical questions, formal models and
empirical work. But we are also welcoming papers based on statistical or neural models,
provided their main goal is to bring new insights regarding inquisitiveness.
Here are some examples of questions of interest:
* Which operators (connectives, quantifiers, modals, conditionals) generate inquisitiveness?
* How do these operators project the inquisitive content of their arguments?
* e.g. what triggers maximality, exhaustivity or uniqueness of readings?
* How does inquisitive content interact with informative content in compositional semantics?
* e.g. how do interrogative words interact with negative polarity items, free choice items,
indefinites or plurality?
* How do conventions of use interact with inquisitive content?
* e.g. how can non-answering responses (e.g. clarification questions) be handled?
* In which ways is pragmatics sensitive to inquisitive content?
* e.g. how does answer bias and ignorance inferences arise?
* What kind of discourse anaphora are licensed by inquisitive expressions?
* e.g. does dynamic inquisitive semantics manage to correctly derive donkey anaphora?
*Submission:*
Submission link on SoftConf:
https://softconf.com/iwcs2023/inqbnb4/
Sumitted papers must not exceed eight (8) pages (not counting acknowledgement,
references and appendices). Accepted papers get an extra page in the camera-ready version.
Submitted papers should be formatted following the common two-column structure as used by
ACL. Please use the specific style-files or the Overleaf template for IWCS 2023, taken from
ACL 2021. Initial submissions should be fully anonymous to ensure double-blind reviewing.
The proceedings will be published in the ACL anthology.
*Important dates:*
* Submission deadline: 14 April
* Author notification: 12 May
* Camera ready: 9 June
* Workshop day: 20 June
*Organizers:*
* Valentin D. Richard [1], Loria, Universit�� de Lorraine
* Philippe de Groote [2], Loria, INRIA Nancy ��� Grand Est
* Floris Roelofsen [3], ILLC, Universiteit van Amsterdam
*Programme committee:*
* Local chair: Valentin D. Richard, Universit�� de Lorraine
* Chair: Floris Roelofsen, Universiteit van Amsterdam
* Maria Aloni [11], Universiteit van Amsterdam
* Lucas Champollion [4], New York University (NYU)
* Jonathan Ginzburg [5], Universit�� Paris Cit��
* Philippe de Groote [2], INRIA Nancy ��� Grand Est
* Todor Koev [12], Universit��t Konstanz
* Jakub Dotla��il [6], Universiteit Utrecht
* Reinhard Muskens [7], Universiteit van Amsterdam
* Maribel Romero [8], Universit��t Konstanz
* Wataru Uegaki [9], University of Edinburgh
* Yimei Xiang [10], Rutgers Linguistics
[1] https://valentin-d-richard.fr/
[2] https://members.loria.fr/PdeGroote/
[3] https://www.florisroelofsen.com/
[4] https://champollion.com/
[5] http://www.llf.cnrs.fr/fr/Gens/Ginzburg
[6] http://www.jakubdotlacil.com/
[7] http://freevariable.nl/
[8] https://ling.sprachwiss.uni-konstanz.de/pages/home/romero/
[9] https://www.wataruuegaki.com/
[10] https://yimeixiang.wordpress.com/
[11] https://www.marialoni.org/
[12] https://todorkoev.weebly.com/
WebNLG 2023: Call for Participation
Special focus on multilingual NLG for under-resourced languages
We are delighted to announce a new edition of the WebNLG challenge, which will take place in 2023. WebNLG 2023 will focus on multilingual generation for under-resourced languages.
Registration
If you intend to participate or if you download the data, please fill in this form 👍
https://docs.google.com/forms/d/e/1FAIpQLSfytc1rUMUOKrDc9vV658uiLh1_jUS7G0X…
Motivation
With the development of large-scale pretrained models, research in automatic text generation has acquired new impetus. Yet, the current state-of-the-art is dominated by a handful of languages, for which training data is relatively easy to acquire. At the same time, the field has recently witnessed some encouraging developments which focus on generation for under-resourced and under-represented languages. This trend is paralleled by a growing interest in multilingual models and applications in NLP more broadly.
The WebNLG 2023 Challenge is being organised in response to these trends and specifically addresses generation in few-shot and/or zero-shot settings for four under-resourced languages.
About WebNLG
The WebNLG Challenge consists in mapping data, in the form of RDF triples, to natural language text. The input is a set of RDF triples sourced from DBPedia for example:
(John_E_Blaha birthDate 1942_08_26)
(John_E_Blaha birthPlace San_Antonio)
(John_E_Blaha occupation Fighter_pilot)
where the corresponding output text might be:
John E Blaha, born in San Antonio on 1942-08-26, worked as a fighter pilot
The WebNLG challenge was launched in 2017. A second edition, in 2020, extended the task to Russian, in addition to English.
WebNLG 2023
The new edition of WebNLG focuses on four under-resourced languages which are severely under-represented in research on text generation, namely Maltese, Irish, Breton and Welsh. In addition, WebNLG 2023 will once again include Russian, which was first featured in WebNLG 2020.
For WebNLG 2023, we are soliciting submissions encompassing a variety of approaches to automatic text generation, from neural architectures to rule-based systems. We especially encourage submissions addressing generation in few-shot or zero-shot settings.
Data
Development and test data is now available for all 5 languages, namely Breton, Maltese, Irish and Welsh (the target languages for WebNLG 2023), as well as Russian. Participants can download the development data; the test data will be reserved for the final evaluation.
Data for each language was obtained by sourcing high-quality, professional translations of the original English texts in the WebNLG 2020 dev and test sets.
Training data is also available for the original WebNLG English data and, as per WebNLG 2020, for Russian. In addition, we provide ‘noisy’ training data for the target languages (Maltese, Breton, Welsh and Irish), obtained via machine translation of the texts in the English WebNLG 2020 train split.
Evaluation
As in previous editions of WebNLG, submitted results will be evaluated using both automatic and human evaluation methods.
I nstructions for participants
Data and instructions for the task are available from the WebNLG repo:
https://github.com/WebNLG/2023-Challenge
Teams who submit systems for evaluation at WebNLG 2023 will subsequently be invited to contribute a short paper describing their approach and results. The task as a whole, as well as individual submissions, will be presented at a special session in an event to be announced later.
General information about the WebNLG challenges can be found on the following URL:
https://synalp.gitlabpages.inria.fr/webnlg-challenge/challenge_2023/
Timeline
February 2023: First call for participation.
Development data and noisy training data available.
8 June 2023: Release of test data
15 June 2023: Deadline for submission of system outputs.
15 August 2023: Deadline for submission of short papers describing systems.
The final presentation of results will be held during a workshop. Current plans are to hold this in September 2023.
Organisation
WebNLG 2023 is being organised under the auspices of LT-Bridge, supported by the Horizon 2020 Work Programme Spreading Excellence and Widening Participation (WIDESPREAD) 2018-2020 and the ANR funded xNLG Chair on multi-lingual, multi-source NLG.
Claire Gardent, CNRS/LORIA, Nancy, France
Albert Gatt, Utrecht University, The Netherlands and University of Malta
Claudia Borg, University of Malta
Enrico Aquilina, University of Malta
Anya Belz, Dublin City University, Ireland
John Judge, Dublin City University, Ireland
Liam Cripwell, CNRS/LORIA and Université de Lorraine, Nancy, France
William Soto-Martinez, CNRS/LORIA and Université de Lorraine, Nancy, France
Contact : webnlg-challenge(a)inria.fr
#### Research Assistant / PhD Student, 3 Years
We are looking to fill a research position (wissenschaftliche(r) Mitarbeiter*in, 75% TV-L) for November 1st, 2023, in the Computational Linguistics / NLP group led by David Schlangen at the University of Potsdam.
The position comes with a small teaching load (3 hours per semester), but is mostly a research position offering time to work towards a PhD, on a topic relevant to the research interests of the group. (Language & vision, interaction / dialogue, embodied AI / human-robot interaction, self-explaining agents; see <http://clp.ling.uni-potsdam.de>.)
The ideal candidate has an excellent degree in a related field (Computational Linguistics, Computer Science, Cognitive Psychology), strong programming skills, strong writing skills, intellectual curiosity, and the ability to carry a research project through.
* Deadline for applications: March 31st 2023
* The Department of Linguistics at the University of Potsdam is a great place with many research activities (collaborative research center in linguistics; part of the University’s “designated research focus” on cognitive science); popular CL/NLP BA and MSc (taught in English); well established contacts with NLP industry in Berlin / Potsdam area.
* Potsdam and the general Berlin/Potsdam metropolitan area is a great place to live.
To apply, send
a) a statement of research interests, relating them to the research of the group;
b) electronic copies of your degree certificates;
c) a CV with a list of publications, code repositories, etc, (if such already exists; otherwise, any other kind of writing and coding samples);
d) the names of references,
to David Schlangen ( first.last(a)uni-potsdam.de ), by email.
For any enquiries, please also contact David Schlangen.
CALL FOR PAPERS
1st Symposium on Challenges for Natural Language Processing (CNLPS’23), 20 September, 2023, Warsaw, Poland, <https://fedcsis.org/sessions/aaia/cnlps>.
Challenges for Natural Language Processing Symposium is a series of competitions oriented towards advancing human language technologies organized at 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023) <https://fedcsis.org>.
The goal of the symposium is to evaluate natural language processing tools in demanding, non-obvious tasks that address multimodal problems, cross-lingual learning and processing of natural languages that are not widely represented in other evaluation campaigns.
This year we invite all interested teams and individuals to participate in the following events:
* PolEval Competition <https://fedcsis.org/sessions/aaia/cnlps/poleval>
* Center for Artificial Intelligence Challenge on Conversational AI Correctness <https://fedcsis.org/sessions/aaia/cnlps/caiccaic>
* Temporal Image Caption Retrieval Competition <https://fedcsis.org/sessions/aaia/cnlps/ticrc>
Apart from the competitions, we also welcome submissions to the General Session that includes the topics listed below:
* Corpora and Language Resources
* Machine Learning in NLP
* Speech Processing
* Language Modeling
* Conversational AI
* Question Answering
* Sentiment and Emotion Detection
* Information Extraction
IMPORTANT DATES
Submission dates for each competition can be found at the respective websites. For the General Session the regular FedCSIS deadlines apply, i.e.:
+ Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there will be no extension)
+ Author notification: July 11, 2023
+ Final paper submission and registration: July 31, 2023
+ Conference date: September 17-20, 2023
ORGANIZERS
Łukasz Kobyliński, Marek Kubis
CONTACT
cnlps2023(a)fedcsis.org
<https://fedcsis.org/sessions/aaia/cnlps>
Learning with Small Data
September 11-12, 2023
CLASP, University of Gothenburg
Come visit us in Gothenburg!
Great topic, free registration, proceedings published in the ACL anthology,
amazing keynote speakers:
Aurélie Herbelot -- University of Trento
Tal Linzen -- NYU & Google
Danielle Matthews -- University of Sheffield
https://sites.google.com/view/learning-with-small-data/home
There is now an acute need for intensive research on the possibility of
effective learning with small data. Our 2023 conference, LSD, is devoted to
work on this problem, with application to computational linguistics.
Learning with Small Data will bring together researchers from various areas
to discuss the sustainability of current state of the art methods in
computational linguistics which rely on very large models, such as GPT2-3,
BERT, and XLNet. The conference encourages contributions from machine
learning, computational linguistics, theoretical linguistics, philosophy,
cognitive science, and psycholinguistics, as well as from artificial
intelligence ethics and social policy. We hope to see innovative technical
proposals, and we will cultivate a wide spectrum of views within a lively
dialog on the issues that the conference addresses.
The workshop is organized by CLASP, University of Gothenburg.
https://gu-clasp.github.io/
## Important Dates:
Submission deadline: 2023 May 5, anywhere on Earth
Notification of acceptance: 2023 June 12, anywhere on Earth
Camera ready: 2023 August 14, anywhere on Earth
Conference: 2023 September 11-12, not anywhere on Earth, but in Gothenburg
Additional details in our website:
https://sites.google.com/view/learning-with-small-data/home
Training set released!
SECOND CALL FOR PARTICIPATION
IberLEF 2023 Task - PoliticEs: Political ideology detection in Spanish texts
Held as part of the evaluation forum IberLEF 2023
<https://sites.google.com/view/iberlef-2023> in the XXXIX edition of the
International Conference of the Spanish Society for Natural Language
Processing (SEPLN 2023 <http://sepln2023.sepln.org/en/home/>)
September 26, 2023. Jaén, Andalusia, Spain
Codalab link: https://codalab.lisn.upsaclay.fr/competitions/10173
Dear All,
We are inviting researchers and students to participate in the
shared-task PoliticEs
2023: Political ideology detection in Spanish texts, held as part of IberLEF
2023, the shared evaluation campaign for Natural Language Processing
systems in Spanish and other Iberian languages, collocated with SEPLN 2023
Conference.
The goal of this task is to extract political ideology information from
Spanish texts. For this, an automatic document classification task on
clusters of texts is proposed. It consists of extracting the self-assigned
gender and profession as demographic traits, and the political ideology as
a psychographic trait from a set of texts written in Spanish from several
authors that share those traits. Political ideology is considered as a
binary and as a multiclass problem. The PoliticES 2023 shared task is based
on a previous task named PoliticES 2022 presented at IberLEF2022
(García-Díaz et. al. 2022b) where the dataset was an extension of the
PoliCorpus 2020 dataset (García-Díaz et al., 2022a). The novelty of this
year is that participants will work with clusters of texts written by
different users, but with the same traits, instead of profiling users to
prevent legal and ethical issues.
The participants will be provided development, development_test, training
and test datasets in Spanish from an extension of the PoliCorpus 2020
(García-Díaz et al., 2022) and the corpus used for the PoliticES 2022
shared task (García-Díaz et. al. 2022b). The dataset was collected between
2020 and 2022 from the Twitter accounts of politicians, political
journalists and celebrities in Spain using the UMUCorpusClassifier
(García-Díaz et al., 2020). We automatically created clusters of texts
mixing some of these extracted tweets in order to prevent ethical and
privacy issues about author profiling in Twitter. Each cluster is composed
of 80 tweets written by different users that share all the traits under
evaluation. We labeled each cluster with the self-assigned gender (male,
female), profession (politician, celebrity, journalist) and political
spectrum on two axes: binary (left, right) and multiclass (left,
moderate_left, moderate_right, right). Moreover, the Twitter mentions of
the politicians were anonymised by replacing them with the token @user. In
addition, other Twitter accounts mentions were also encoded as @user. Other
entities, such as political party references, are also replaced with the
@political_party token. Consequently, the text traits cannot be guessed
trivially by reading the user's name and searching information on them on
the Internet. The dataset is composed of approximately 2800 different
clusters.
Finally, in order to facilitate participation in the competition, a
notebook with two baselines will be provided. The first one will be based
on BoW and the second one will be based on Transformers. To download the
data, the notebook and participate, go to
https://codalab.lisn.upsaclay.fr/competitions/10173.
Yesterday, we released the training dataset that can be found in the
"Files" subsection of the "Participate" tab. It is worth mentioning that
this dataset includes all the instances that were also released during the
Practice stage; so, it is not needed to combine both datasets.
Finally, remember that the CodaLab competition is open to submit your
results with the development dataset provided. This dataset is also
available in the same section as the training dataset.
Best regards,
The PoliticES 2023 organizing committee
References
-
García-Díaz, J. A., Almela, Á., Alcaraz-Mármol, G., & Valencia-García,
R. (2020). UMUCorpusClassifier: Compilation and evaluation of linguistic
corpus for Natural Language Processing tasks. Procesamiento del Lenguaje
Natural, 65, 139-142.
-
García-Díaz, J. A., Colomo-Palacios, R., & Valencia-García, R. (2022a).
Psychographic traits identification based on political ideology: An author
analysis study on Spanish politicians’ tweets posted in 2020. Future
Generation Computer Systems, 130(1), 59-74.
-
García-Díaz, J. A., Jiménez Zafra, S. M., Martín Valdivia, M. T.,
García-Sánchez, F., Ureña López, L. A., & Valencia García, R. (2022b).
Overview of PoliticEs 2022: Spanish Author Profiling for Political
Ideology. Procesamiento del Lenguaje Natural, 69, 265-272.
Important dates
-
Release of development corpora: Feb 13, 2023
-
Release of training corpora: Mar 13, 2023
-
Release of test corpora and start of evaluation campaign: Apr 17, 2023
-
End of evaluation campaign (deadline for runs submission): May 3, 2023
-
Publication of official results: May 5, 2023
-
Paper submission: May 29, 2023
-
Review notification: Jun 17, 2023
-
Camera ready submission: Jun 27, 2023
-
IberLEF Workshop (SEPLN 2023): Sep 26, 2023 (Jaén, Andalusia, Spain)
-
Publication of proceedings: Sep ??, 2023
Organizing committee
-
José Antonio García-Díaz (UMUTeam, Universidad de Murcia)
-
Salud María Jiménez-Zafra (SINAI, Universidad de Jaén)
-
María-Teresa Martín Valdivia (SINAI, Universidad de Jaén)
-
Francisco García-Sánchez (UMUTeam, Universidad de Murcia)
-
L. Alfonso Ureña-López (SINAI, Universidad de Jaén)
-
Rafael Valencia-García (UMUTeam, Universidad de Murcia)
[image: Universidad de Jaén] <http://www.uja.es/> *Salud María Jiménez
Zafra*
sjzafra(a)ujaen.es
Universidad de Jaén
Grupo de Investigación SINAI <http://sinai.ujaen.es/> | Departamento de
Informática
EPS Jaén, Edificio A3, Despacho 219
Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992
[image: Universidad de Jaén] <http://www.uja.es/>
[With apologies for cross-posting]
Second call for submissions for the Workshop on Individual Differences in
Pragmatics and Discourse (IndiPRAG).
Important dates:
Submission deadline: 1st May 2023
Notification date: 5th June 2023
Workshop dates: 18th September (all day) and 19th September (morning) 2023
Workshop venue: Saarland University, Saarbrücken, Germany (the workshop is
collocated with XPRAG in Paris, 20th-23rd September)
**
Call for submissions:
Experimental research in pragmatics and discourse processing has
consistently found that not all comprehenders behave the same: while some
seem to draw rich pragmatic inferences, others respond in a way that is
more consistent with a literal interpretation (Fairchild & Papafragou,
2021; Mayn & Demberg, 2022). Similarly for discourse inference,
experiments have found differences with respect to the sensitivity to
discourse cues and the readiness for discourse predictions between
participants (Scholman, Demberg & Sanders, 2020; Tskhovrebova, Zufferey &
Gygax, 2022).
This workshop aims to bring together researchers interested in exploring
individual differences at the level of pragmatics and discourse, as well
as methods for relating those differences to cognitive properties, and
approaches for modelling the mechanism driving the individual differences
effects.
IndiPRAG Workshop invites submissions of abstracts addressing the
following questions:
- To what extent do pragmatic processing and discourse inferences differ
between individuals?
- How consistent are interpretation biases across different types of
pragmatic implicatures?
- What individual difference measures are particularly suitable for
measuring IDs related to pragmatic processing?
- How can we computationally model individual differences in discourse and
pragmatics?
- What statistical methods are best suited to identifying latent groups of
participants and relating ID measures to task performance?
**
Formatting guidelines:
The abstracts must not exceed 1000 words for the text (excl. captions),
10000 characters for references, 2 figures. Abstracts should be submitted
in PDF format, with 2.54 cm margins on all sides and 12 point font size,
single-spaced. Please indicate up to three appropriate keywords for your
abstract, which will be used for session planning.
Abstracts must be written in English and should include a title but no
information revealing the author(s).
We welcome submissions for work that is being considered by other
conferences, workshops, or journals.
Submissions should be handed in via easychair:
https://easychair.org/conferences/?conf=indiprag2023
**
We will have invited talks by:
Kirsten Abbot-Smith, University of Kent
Morten Christiansen, Cornell University
Craig Hedge, Aston University
Petra Hendriks, University of Groningen
Antje Meyer & Florian Hintz, MPI for Psycholinguistics Nijmegen
**
IndiPRAG is being organised by: Vera Demberg, Jia Loy, Alexandra Mayn,
Dongqi Pu, Margarita Ryzhova, Merel Scholman, Sebastian Schuster
You can contact us at: indiprag(a)lst.uni-saarland.de
The Department of English (http://www.LN.edu.hk/eng/) of Lingnan University (Hong Kong) now invites applications for a tenure-track position at the rank of Assistant Professor to contribute to research and teaching in Linguistics (Contemporary Language Studies). Candidates who can contribute to both the Linguistics and Literature strands of the programme, for example by specializing in literary linguistics, stylistics, corpus linguistics and/or digital humanities, will be given priority.
Applicants should have:
1.
2. A Ph.D. degree in linguistics, applied linguistics, or a related field;
3. A good publication record in peer-reviewed journals with a good international standing;
4. A track record of developing and teaching courses on literary linguistics, stylistics, corpus linguistics, and/or digital humanities;
5. Experience in academic administration and curriculum development.
Applicants are required to provide information about their research records and evidence of high-quality teaching in relevant subjects.
The appointee is expected to deliver and develop courses at both the undergraduate and postgraduate levels, supervise final-year projects, produce quality research outputs, and participate in competitive grant exercises. He or she is also expected to engage in knowledge transfer activities, and assist the Department with administration.
Details and how to apply: https://lingnan.csod.com/ux/ats/careersite/4/home/requisition/1859?c=lingnan
[Lingnan University Hong Kong] <https://www.ln.edu.hk>
[Transformation For Life] <https://www.ln.edu.hk/transformation-for-life>
Dear Colleagues,
I'm looking for a PhD student with an interest in multilingual natural
language processing (NLP) and transfer learning to join my group NALA at
the Institute of Computer Science of Johannes Gutenberg University Mainz,
Germany. Details can be found in this posting:
https://karriere.uni-mainz.de/files/2023/03/00323-08-wiss-nk.pdf
If you have questions, please feel free to email me directly, and please
forward this information to anyone who might be interested!
Thanks,
Katharina Kann
--
Dr. Katharina Kann
Assistant Professor of Computer Science
University of Colorado Boulder
Personal page: https://kelina.github.io
Group page: https://nala-cub.github.io