EVALITA 2023 - Training Data Available

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(Apologies for cross-posting)

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EVALITA 2023

Evaluation of NLP and Speech Tools for Italian

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***EVALITA 2023 - Training data available***


In the context of EVALITA 2023 we are organising the following tasks 
(https://www.evalita.it/campaigns/evalita-2023/tasks/ 
<https://www.evalita.it/campaigns/evalita-2023/tasks/>):

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    DisCoTEX: Assessing DIScourse COherence in Italian TEXts.
    (https://sites.google.com/view/discotex/home?pli=1
    <https://sites.google.com/view/discotex/home?pli=1>)

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    EMit 2022:Categorical Emotion Detection in Italian Social Media
    (http://www.di.unito.it/~tutreeb/emit23/index.html
    <http://www.di.unito.it/~tutreeb/emit23/index.html>).

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    HODI: Homotransphobia Detection in Italian.
    (https://hodi-evalita.github.io/ <https://hodi-evalita.github.io/>)

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    ACTI: Automatic Conspiracy Theory Identification.
    (https://russogiuseppe.github.io/ACTI/
    <https://russogiuseppe.github.io/ACTI/>)

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    WiC-ITA: Word in Context for Italian. (https://wic-ita.github.io/
    <https://wic-ita.github.io/>)

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    GeoLingIt: Geolocation of Linguistic Variation in Italy.
    (https://sites.google.com/view/geolingit
    <https://sites.google.com/view/geolingit>)

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    LangLearn: Language Learning Development.
    (https://sites.google.com/view/langlearn2023?pli=1
    <https://sites.google.com/view/langlearn2023?pli=1>)

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    MULTI-Fake-DetectiVE: MULTImodal Fake News Detection and
    VErification.
    (https://sites.google.com/unipi.it/multi-fake-detective/home
    <https://sites.google.com/unipi.it/multi-fake-detective/home>)

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    NERMuD: Named-Entities Recognition on Multi-Domain Documents.
    (https://nermud.fbk.eu/ <https://nermud.fbk.eu/>)

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    Haspeede3:Political and Religious Hate Speech Detection.
    (https://di.unito.it/haspeede23 <https://di.unito.it/haspeede23>)

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    CLinkaRT:Linking a Lab Result to its Test Event in the Clinical
    Domain. (https://e3c.fbk.eu/clinkart <https://e3c.fbk.eu/clinkart>)

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    PoliticIT: PoliticIT. Political ideology detection in Italian
    texts.(https://codalab.lisn.upsaclay.fr/competitions/8507
    <https://codalab.lisn.upsaclay.fr/competitions/8507>)

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    EmotivITA: Dimensional and Multi-dimensional emotion analysis.
    (https://sites.google.com/view/emotivita
    <https://sites.google.com/view/emotivita>)


TRAINING DATA for all the aforementioned EVALITA 2023 TASKS are 
currently available. Detailed instructions for data download and tasks’ 
guidelines are provided in the web page of each task (linked from the 
EVALITA 2023 website).


The results of the evaluation will be disseminated at the final 
workshop, which will be organised in Parma, Italyon 7th-8th September 2023.


We encourage participation from both academic institutions and 
industrial organisations. Please visit the EVALITA web site where 
information about all tasks is currently available, and indicate your 
intention to participate and the specific task(s) you are interested in. 
You can do so by filling out the form at the following link, which will 
be available until April 30th 2023:


https://forms.gle/TW2NveAZMZodF7Z59 <https://forms.gle/TW2NveAZMZodF7Z59>


Your expression of interest is not at all binding and you can 
participate in any of the tasks, but it’s very important to us to best 
organise this evaluation campaign.


IMPORTANT DATES:

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    February 7th, 2023: release of training data

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    May 2nd-9th, 2023: first evaluation window

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    May 7th-14th, 2023: second evaluation window

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    May 12th-19th, 2023: third evaluation window

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    May 30th, 2023: results to participants

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    June 14th, 2023: submission of participants’ report

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    July 10th, 2023: reviews to participants

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    July 25th, 2023: camera ready

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    September 7th-8th, 2023: workshop



EVALITA 2023 Chairs:

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    Mirko Lai (Università di Torino)

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    Stefano Menini (Fondazione Bruno Kessler)

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    Marco Polignano (Università di Bari Aldo Moro)

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    Valentina Russo (Logogramma SRL)

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    Rachele Sprugnoli (Università degli Studi di Parma)

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    Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli”
    – CNR)


Contact:

evalita2023[AT]gmail.com


FOLLOW US!

Twitter: @EVALITAcampaign









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