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> On 5 Aug 2022, at 14:00, [email protected] wrote:
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> Today's Topics:
> 
>   1. TempoWiC shared task at EMNLP EvoNLP Workshop: Evaluation starts 
> (deadline: September 12)
>      (Jose Camacho Collados)
>   2. PhD Position in Speech Translation at Fondazione Bruno Kessler
>      (Matteo Negri)
>   3. [QPP++] 2nd CfP Query Performance Prediction and Its Evaluation in New 
> Tasks @ CIKM 2022
>      (Guglielmo Faggioli)
> 
> 
> ----------------------------------------------------------------------
> 
> Message: 1
> Date: Thu, 4 Aug 2022 16:04:09 +0000
> From: Jose Camacho Collados <[email protected]>
> Subject: [Corpora-List] TempoWiC shared task at EMNLP EvoNLP Workshop:
>    Evaluation starts (deadline: September 12)
> To: "[email protected]" <[email protected]>
> Message-ID:  <[email protected]
>    P265.PROD.OUTLOOK.COM>
> Content-Type: multipart/alternative;    boundary="_000_LO2P265MB578930
>    1B4C033C1A12DC3F218E9F9LO2P265MB5789GBRP_"
> 
> ************************************
> 
> Call for participation: TempoWiC shared task at EvoNLP shared task 
> (co-located with EMNLP)
> 
> 
> Training and test data available!
> 
> 
> Shared Task website: https://sites.google.com/view/evonlp/shared-task
> 
> Codalab evaluation page: https://codalab.lisn.upsaclay.fr/competitions/5360
> 
> 
> Important dates:
> 
>  *   1 August 2022: Test data released and evaluation phase starts
> 
>  *   12 September 2022: Evaluation phase ends
> 
>  *   16 September 2022: Results released
> 
>  *   10 October 2022: System description paper deadline
> 
> ************************************
> 
> 
> TempoWiC is the Shared Task for the "EvoNLP: The First Workshop on Ever 
> Evolving NLP" workshop, co-located with EMNLP 2022. For this novel temporal 
> meaning shift task, users are given a pair of sentences (or, in this case, 
> tweets) and a target word (e.g. delta), and the task consists of deciding 
> whether the meaning of the target word is the same or not. Basically, the 
> framing is the same binary classification as the original WiC 
> (Word-in-Context) task but adapted so the temporal aspect is taken into 
> account (tweets in each pair were selected from different time periods).
> 
> 
> For example, we can observe a meaning shift happening to the word folklore in 
> the following instance, where its meaning represents a recent music album in 
> the second example.
> 
> (1) There's a thunderstorm outside so clearly it's the perfect time to watch 
> videos about folklore monsters. (August 2019)
> 
> (2) Cardigan on folklore is my favorite song. I wish @taylorswift13 would 
> love me (August 2020)
> 
> 
> 
> --
> 
> 
> Jose Camacho Collados
> http://www.josecamachocollados.com<http://www.josecamachocollados.com/>
> 
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> ------------------------------
> 
> Message: 2
> Date: Thu, 4 Aug 2022 22:58:14 +0200
> From: Matteo Negri <[email protected]>
> Subject: [Corpora-List] PhD Position in Speech Translation at
>    Fondazione Bruno Kessler
> To: [email protected], [email protected],
>    [email protected],    [email protected],
>    [email protected]
> Message-ID:
>    <CAOE0tRuS5pwrcaujkihv=kqW5TBiNOaed=xyvxuu5uqvq+1...@mail.gmail.com>
> Content-Type: multipart/alternative;
>    boundary="0000000000005bab1c05e5709cf4"
> 
> --
> 
> Apologies for cross-posting.
> 
> --
> 
> Have you recently completed or expect very soon an MSc or equivalent degree
> in computer science, artificial intelligence, computational linguistics,
> engineering, or a related area? Are you interested in carrying out research
> on Speech Translation during the next few years? Are you excited to spend a
> part of your life in a pleasant city in the heart of the Italian Alps?
> 
> WE ARE LOOKING FOR YOU!!!
> 
> The Machine Translation <https://ict.fbk.eu/units/hlt-mt/> (MT) group at
> Fondazione Bruno Kessler (Trento, Italy) in conjunction with the ICT
> International Doctorate School of the University of Trento
> <https://iecs.unitn.it/> is pleased to announce the availability of the
> following fully-funded Ph.D. position in Speech Translation.
> 
> TITLE: Application-oriented Speech Translation
> 
> DESCRIPTION:
> 
> The need to translate audio input from one language into text in a target
> language has dramatically increased in the last few years with the growth
> of audiovisual content freely available on the Web. Current speech
> translation (ST) systems are now required to be flexible and robust enough
> to operate in different application scenarios. On one side, the industry
> calls for key features like real-time processing, domain adaptability,
> extended language coverage, and the capability to meet application-specific
> constraints. On the other side, society calls for new efforts towards
> inclusiveness with respect to specific categories and groups (e.g.
> gender-sensitivity, customization to the needs of impaired users). Both
> industry and society face the orthogonal challenges posed by the
> variability of audio conditions (e.g. background noise, strong speakers’
> accent, overlapping speakers). The objective of this Ph.D. is to make ST
> flexible and robust to these and other factors.
> 
> CONTACT:  [email protected]
> 
> COMPLETE DETAILS AVAILABLE AT:
> https://iecs.unitn.it/education/admission/call-for-application
> 
> 
> IMPORTANT DATES:
> 
> The deadline for application is September 6, 2022, hrs. 04:00 PM (CEST)
> 
> Potential candidates are strongly invited to contact us in advance for
> preliminary interviews. Precedence for interviews will be given to
> short-listed candidates that will send us a complete CV via email (
> [email protected]) by August 18, 2022.
> 
> Candidate profile
> 
> The ideal candidate must have recently completed or expect very soon an MSc
> or equivalent degree in computer science, artificial intelligence,
> computational linguistics, engineering, or a closely related area. In
> addition, the applicant should:
> 
>   -
> 
>   Have interest in Machine and Speech Translation
>   -
> 
>   Have experience in deep learning and machine learning, in general
>   -
> 
>   Have good programming skills in Python and experience in PyTorch
>   -
> 
>   Enjoy working with real-world problems and large data sets
>   -
> 
>   Have good knowledge of written and spoken English
>   -
> 
>   Enjoy working in a closely collaborating team
> 
> Working Environment
> 
> The doctoral student will be employed at the MT group at Fondazione Bruno
> Kessler, Trento, Italy. The group (about 10 people including staff and
> students) has a long tradition in research on machine and speech
> translation and is currently involved in several projects. Former students
> are nowadays employed in leading IT companies in the world.
> 
> Benefits
> 
> Fondazione Bruno Kessler offers an attractive benefits package, including a
> flexible work week, full reimbursement for conferences and summer schools,
> a competitive salary, an excellent team of supervisors and mentors, help
> for housing, full health insurance, the possibility of Italian courses, and
> sporting facilities.
> 
> Further Information
> 
> For preliminary interviews, and should you need further information about
> the position, please contact Matteo Negri ([email protected]).
> 
> Best Regards,
> 
> Matteo Negri
> 
> -- 
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> ------------------------------
> 
> Message: 3
> Date: Fri, 5 Aug 2022 10:05:10 +0200
> From: Guglielmo Faggioli <[email protected]>
> Subject: [Corpora-List] [QPP++] 2nd CfP Query Performance Prediction
>    and Its Evaluation in New Tasks @ CIKM 2022
> To: [email protected]
> Message-ID:
>    <CAD3vDD-Ts1eGy6Mzq=gjKiwrq6PO=j+58ohjdpycpiywnnz...@mail.gmail.com>
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> 
> Query Performance Prediction (QPP) is currently primarily used for ad-hoc
> retrieval tasks. The Information Retrieval (IR) field is reaching new
> heights thanks to recent advances in large language models and neural
> networks, as well as emerging new ways of searching, such as conversational
> search. Such advancements are quickly spreading to adjacent research areas,
> including QPP, necessitating a reconsideration of how we perform and
> evaluate QPP.
> 
> Important Dates
> ---------------------
> Submission deadline: September 2, 2022
> Notification of acceptance: September 27, 2022
> Camera ready: October 06, 2022
> Conference days: October 17-20, 2022
> Workshop day: October 21, 2022
> 
> Call for Papers
> -------------------
> This workshop aims at stimulating discussion on three main aspects
> concerning the future of QPP:
> 
>    What are the emerging QPP challenges posed by new methods and
> technologies, including but not limited to dense retrieval, contextualized
> embeddings, and conversational search?
>    How might these new techniques be used to improve the quality of QPP?
>    Can we claim that the current techniques for evaluating QPP are
> effective in all arising scenarios? Can we envision new evaluation
> protocols capable of granting generalizability in new domains?
> 
> We plan to foster the discussion via two focus groups led by the workshop's
> organizers.
> 
> The first focus group will identify what possibilities the QPP offers
> regarding new research models and IR tasks, primary considerations, issues
> linked to different aspects of the QPP, and the potentialities provided by
> new tools.
> 
> The second focus group will gather the community’s concerns and solutions
> with respect to the QPP evaluation, especially for what concerns emerging
> domains.
> Themes and Topics
> 
> The workshop will focus on the following themes:
>    Query performance prediction applied to new tasks:
>    Can existing QPP techniques be exploited, or which new QPP theories and
> models need to be devised for new tasks, such as passage-retrieval, Q&A,
> and conversational search?
>    Query performance prediction exploiting new techniques:
>    How can new technologies, such as contextualized embeddings, large
> language models, and neural networks be exploited to improve QPP?
>    Evaluation of query performance prediction:
>    How should QPP techniques be evaluated, including best practices,
> datasets, and resources, and, in particular, should QPP be evaluated the
> same for different IR tasks?
> 
> It is possible to submit three main categories of manuscripts to the
> workshop:
>    Full papers: up to 6 pages.
>    Short papers: up to 3 pages.
>    Discussion papers: up to 3 pages.
> 
> All manuscripts are expected to address the workshop's themes as mentioned
> above.
> Full and short papers should contain innovative ideas and their
> experimental evaluation. We are also interested in works containing
> (methodologically sound) preliminary results and incremental endeavours.
> Discussion papers should include work with or without preliminary results,
> position papers, and papers describing failures. Such papers should foster
> the discussion and thus are not required to contain full-fledged results.
> In this sense, the experimental evaluation of the submitted discussion
> paper is appreciated but not required. We are also interested in receiving
> contributions regarding (methodologically sound) failed experiments; since
> the workshop will focus on new research directions, we consider it
> necessary also to discuss the reasons and causes of failures.
> Each manuscript will be peer-reviewed by at least two program committee
> members
> Accepted papers will be published online as a volume of the CEUR-WS
> proceeding series.
> 
> Website
> --------------
> qpp2022.dei.unipd.it
> 
> Organizers
> --------------
> Guglielmo Faggioli, University of Padova, Italy, [email protected]
> <http://faggiolidei.unipd.it/>
> Nicola Ferro, University of Padova, Italy, [email protected]
> <http://ferrounipd.it/>
> Josiane Mothe, Université de Toulouse, IRIT, France, [email protected]
> <http://josiane.motheirit.fr/>
> Fiana Raiber, Yahoo Research, Israel, [email protected]
> <http://fianayahooinc.com/>
> 
> ----------
> Guglielmo Faggioli
> Dipartimento di Ingegneria Informatica, University of Padua
> Via Gradenigo 6/b, 35138, Padua, Italy
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> 
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> End of Corpora Digest, Vol 212, Issue 1
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