Long Eval 2023

CLEF 2023 shared task evaluating the temporal persistence of information retrieval (IR) systems and text classifiers.

[Long Eval 2023 @long_eval]

We invite papers and talk proposals on longitudinal NLP, time-aware models, model temporal persistence. Paper deadline - June 5th, Submission link: https://t.co/asnu7MF8ao Talk deadline - July 10th, Submission link: https://t.co/HQUq59rTze

[Long Eval 2023 @long_eval]

Last week to show off your sentiment classifier's temporal persistence! Join the competition at https://t.co/jXII9fQRa9 Submissions close on 22nd of May #NLProc #CLEF #AI

[Long Eval 2023 @long_eval]

It is still not too late to join #LongEval competition! Important update: Evaluation period extended to 22nd May 2023. Registrations for the classification subtask are still open at https://t.co/pFFUD0zd5H
#NLProc #CLEF #AI

[Long Eval 2023 @long_eval]

Test your sentiment analysis models against time! The LongEval 2023 @clef_initiative CodaLab platform is now available! Join the task at:
https://t.co/pFFUD0zd5H

#NLProc #Sentiment #AI #challenge

[Long Eval 2023 @long_eval]

Join the Participants' Questions channel for any queries about the shared tasks: https://t.co/EsayM31NbV

[Long Eval 2023 @long_eval]

📢 We invite you to participate in LongEval Challenge @ CLEF 2023 on Longitudinal Evaluation of Models Performance 📈 You can find tasks descriptions on our website: https://t.co/oBEHVh4JoR

[Jose Camacho Collados @CamachoCollados]

Interested in how time can affect NLP classifiers' performance? Any ideas on how to make our models more robust over time? We are organising the LongEval task on Twitter sentiment analysis, check it out!

[Long Eval 2023 @long_eval]

Training and development data for both tasks is released on our website https://t.co/iBVMqN8swp!🥳 CodaLab soon to follow! Register to participate and compete https://t.co/kyWs3VgCyD 🏆

[Elena Kochkina @Elena_Kochkina]

Presented a poster on our upcoming #CLEFLab 2023 LongEval shared task
@long_eval
at #EvoNLP #EMNLP2022 workshop and recent work assessing temporal generalisability of classification models😀 https://t.co/4AanlQ5Xe0 #NLProc

[Long Eval 2023 @long_eval]

🗣️Task registration is now open at: https://t.co/kyWs3VgCyD
Stay tuned for the data release!

[Long Eval 2023 @long_eval]

LongEval is built on a common framework for Information Retrieval and Text Classification: we evaluate system performance on
(1) test data acquired at the same time t as the training data, (2) data acquired shortly after time t, and (3) data acquired longer after time t.

[Long Eval 2023 @long_eval]

📢 We invite you to participate in LongEval Challenge @ CLEF 2023 on Longitudinal Evaluation of Models Performance 📈 You can find tasks descriptions on our website: https://t.co/oBEHVh4JoR

[Long Eval 2023 @long_eval]

The LongEval aims at identifying the types of models that offer better temporal persistence for NLP tasks on data that evolves across time in both shorter and longer time periods. LongEval 2023 proposes two tasks: (1) Information Retrieval and (2) Text Classification.