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Today's Topics:
- TempoWiC shared task at EMNLP EvoNLP Workshop: Evaluation starts (deadline: September 12) (Jose Camacho Collados)
- PhD Position in Speech Translation at Fondazione Bruno Kessler (Matteo Negri)
- [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 CamachoColladosJ@cardiff.ac.uk Subject: [Corpora-List] TempoWiC shared task at EMNLP EvoNLP Workshop: Evaluation starts (deadline: September 12) To: "corpora@list.elra.info" corpora@list.elra.info Message-ID: <LO2P265MB5789301B4C033C1A12DC3F218E9F9@LO2P265MB5789.GBR 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)
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Jose Camacho Collados http://www.josecamachocollados.comhttp://www.josecamachocollados.com/
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Message: 2 Date: Thu, 4 Aug 2022 22:58:14 +0200 From: Matteo Negri negri@fbk.eu Subject: [Corpora-List] PhD Position in Speech Translation at Fondazione Bruno Kessler To: corpora@list.elra.info, elsnet-list@list.hum.uu.nl, dbworld@cs.wisc.edu, mt-list@eamt.org, LINGUIST@listserv.linguistlist.org Message-ID: CAOE0tRuS5pwrcaujkihv=kqW5TBiNOaed=XyVxUu5UQVQ+1R7Q@mail.gmail.com Content-Type: multipart/alternative; boundary="0000000000005bab1c05e5709cf4"
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Apologies for cross-posting.
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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: negri@fbk.eu
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 ( negri@fbk.eu) 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 (negri@fbk.eu).
Best Regards,
Matteo Negri
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Message: 3 Date: Fri, 5 Aug 2022 10:05:10 +0200 From: Guglielmo Faggioli guglielmo.faggioli@phd.unipd.it Subject: [Corpora-List] [QPP++] 2nd CfP Query Performance Prediction and Its Evaluation in New Tasks @ CIKM 2022 To: corpora@list.elra.info Message-ID: CAD3vDD-Ts1eGy6Mzq=gjKiwrq6PO=J+58OhJdPyCpiywNNzvxg@mail.gmail.com Content-Type: multipart/alternative; boundary="00000000000076a3d705e579ed95"
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, faggioli@dei.unipd.it http://faggiolidei.unipd.it/ Nicola Ferro, University of Padova, Italy, ferro@unipd.it http://ferrounipd.it/ Josiane Mothe, Université de Toulouse, IRIT, France, josiane.mothe@irit.fr http://josiane.motheirit.fr/ Fiana Raiber, Yahoo Research, Israel, fiana@yahooinc.com http://fianayahooinc.com/
Guglielmo Faggioli Dipartimento di Ingegneria Informatica, University of Padua Via Gradenigo 6/b, 35138, Padua, Italy -------------- next part -------------- A message part incompatible with plain text digests has been removed ... Name: not available Type: text/html Size: 4759 bytes Desc: not available
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