KSAA-CAD: Contemporary Arabic Dictionary Shared Task! For Reverse Dictionary and Word Sense Disambiguation at ArabicNLP 2024!

Event Notification Type: 
Call for Participation
Abbreviated Title: 
KSAA-CAD: Contemporary Arabic Dictionary Shared Task!
Location: 
Co-located with ACL 2024 Bangkok, Thailand
AttachmentSize
PDF icon KSAA-CAD.pdf194.26 KB
Friday, 16 August 2024
State: 
Thailand
Country: 
Thailand
City: 
Bangkok
Contact: 
Waad Alshammari
Rawan Almatham
Submission Deadline: 
Friday, 3 May 2024

Greeting
We would like to extend an invitation to participate in the KSAA-CAD: Contemporary Arabic Dictionary Shared Task! For Reverse Dictionary and Word Sense Disambiguation at ArabicNLP 2024!
Please find all the necessary information below.
https://arai.ksaa.gov.sa/sharedTask2024/

Registration deadline: 29th of April 2024.

Registration:
Participants need to register via this link: https://docs.google.com/forms/d/e/1FAIpQLSetmIT7XQ3megI6dGI9xm17wc-oY86z... !

Tasks:
Task 1: Reverse Dictionary (RD)

RDs, identified by their sequence-to-vector format, characterized as sequence-to-vector, introduce a differentiated strategy in contrast to traditional dictionary lookup methods. The RD task concentrates on the conversion of human-readable glosses into word embedding vectors.
This process entails reconstructing the word embedding vector corresponding to the defined word, a methodology aligning with the approaches of (Mickus et al., 2022; Zanzotto et al., 2010; Hill et al., 2016).
The dataset includes, lemma, lemma vector representations, and their respective gloss.
The developed model is expected to generate novel lemma vector representations for the unseen human-readable definitions in the test set. Such a strategy allows users to search for words based on anticipated definitions or meanings.

Task 2: Word Sense Disambiguation (WSD)

WSD focuses on identifying the specific sense of a word in a given context. This technique involves determining a word's intended meaning by calculating the overlap between its contextual use and the provided gloss or definition.
The dataset consists of word, context, and context ID, and corresponding gloss ID. The developed model is expected to retrieve the suitable gloss ID for the word in the context from the WSD dictionary.

Datasets:
Datasets can be downloaded from the CODALAB platform:
• CODALAB-Task1 RD: https://codalab.lisn.upsaclay.fr/competitions/18510
• CODALAB-Task2 WSD: https://codalab.lisn.upsaclay.fr/competitions/18468

Important dates:
• Release of training, dev data, and evaluation scripts: 15th of March 2024.
• Release of test data: 15th of April 2024.
• Registration deadline: 29th of April 2024.
• End of the evaluation cycle (test set submission closes): 3th of May 2024.
• Results released: 29th of April 2024
• System description paper submissions due: 10st of May 2024.

Contact:
• Email: waad.wtss [at] gmail.com
• Email: r.almatham [at] gmail.com

Awards:
We are pleased to announce the awards for the Arabic Reverse Dictionary Shared Task at ArabicNLP 2024. The top-ranked teams in each task will receive cash prizes as follows:

Task 1: Reverse Dictionary (RD)
1st Ranked: $350
2nd Ranked: $250
3rd Ranked: $150

Task 2: Word Sense Disambiguation (WSD)
1st Ranked: $350
2nd Ranked: $250
3rd Ranked: $150

Best regards!!