This paper describes our participation in the ArAIEval Shared Task 2024, focusing on Task 2C, which challenges participants to detect propagandistic elements in multimodal Arabic memes. The challenge involves analyzing both the textual and visual components of memes to identify underlying propagandistic messages. Our approach integrates the capabilities of MARBERT and ResNet50, top-performing pre-trained models for text and image processing, respectively. Our system architecture combines these models through a fusion layer that integrates and processes the extracted features, creating a comprehensive representation that is more effective in detecting nuanced propaganda. Our proposed system achieved significant success, placing second with an F1 score of 0.7987.

ASOS at ArAIEval Shared Task: Integrating Text and Image Embeddings for Multimodal Propaganda Detection in Arabic Memes

DA-MSA Machine Translation is a recent challenge due to the multitude of Arabic dialects and their variations. In this paper, we present our results within the context of Subtask 3 of the NADI-2024 Shared Task(Abdul- Mageed et al., 2024) that is DA-MSA Machine Translation . We utilized the DIALECTS008 MSA MADAR corpus (Bouamor et al., 2018), the Emi-NADI corpus for the Emirati dialect (Khered et al., 2023), and we augmented the Palestinian and Jordanian datasets based on NADI 2021. Our approach involves develop013 ing sentence-level machine translations from Palestinian, Jordanian, Emirati, and Egyptian dialects to Modern Standard Arabic (MSA).To 016 address this challenge, we fine-tuned mod els such as (Nagoudi et al., 2022)AraT5v2- msa-small, AraT5v2-msa-base, and (Elmadany et al., 2023)AraT5v2-base-1024 to compare their performance. Among these, the AraT5v2- base-1024 model achieved the best accuracy, with a BLEU score of 0.1650 on the develop023 ment set and 0.1746 on the test set.

Alson at NADI 2024 shared task: Alson - A fine-tuned model for Arabic Dialect Translation

A reverse dictionary takes a descriptive phrase of a particular concept and returns words with definitions that align with that phrase. While many reverse dictionaries cater to languages such as English and are readily available online or have been developed by researchers, there is a notable lack of similar resources for the Arabic language. This paper describes our participation in the Arabic Reverse Dictionary shared task. Our proposed method consists of two main steps: First, we convert word definitions into multidimensional vectors. Then, we train these encoded vectors using the SemiDecoder model for our target task. Our system secured
2nd place based on the Rank metric for both embeddings (Electra and Sgns).

Qamosy at Arabic Reverse Dictionary shared task: Semi Decoder Architecture for Reverse Dictionary with SBERT Encoder | VIDEO

*Coffee Breaks will be provided between 10:30 and 11:00 and 15:30 and 16:00.* To view the workshop program in detail, click [here](https://arabicnlp2024.sigarab.org) [![](https://assets.underline.io/markdown_image/1/image/12613369ab2f6dd75393ffa8794ccdd3.png)](https://app.gather.town/app/7Rf2IGR6LODvPyOx/ACL2024Workshops?spawnToken=Lcj5Wbq4QE2hykuB5Jg0)

W18: The Second Arabic Natural Language Processing Conference (ArabicNLP)

workshop paper

### Welcome!
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) will take place in Bangkok, Thailand from August 11th to 16th, 2024. Our Virtual Poster Sessions will take place online Thursday, August 22, 2024.

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ACL 2024

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) will take place in Bangkok, Thailand from August 11th to 16th, 2024. More information will be announced soon.

**[Workshop Organizers:](https://arabicnlp2023.sigarab.org/organizers)**
 *Coffee Break 10:30 am* 
*Lunch Break 12:30 pm* 
*Coffee Break 3:30 pm* [**Workshop Website**](https://arabicnlp2023.sigarab.org/) The First Arabic Natural Language Processing Conference (ArabicNLP 2023) is organized by the Special Interest Group on Arabic NLP (SIGARAB). ArabicNLP 2023 builds on the seven previous workshop editions, which have been extremely successful drawing in a large active participation in various capacities. This conference is timely given the continued rise in research projects focusing on Arabic NLP. [**Schedule**](https://arabicnlp2023.sigarab.org/program)
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W17: The First Arabic Natural Language Processing Conference (ArabicNLP 2023)

**Welcome to EMNLP 2023!**

On behalf of the EMNLP 2023 Organizing Committee, I extend a warm and heartfelt welcome to all of you to the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). It is with immense pleasure and excitement that we gather here in Singapore, a vibrant hub of innovation and technological advancement.

The conference program is packed with insightful presentations, thought-provoking workshops, and engaging networking opportunities. In addition to the technical sessions, we have also planned several social events that will provide you with the opportunity to connect with your colleagues.

The conference is held in person at the Resorts World Convention Centre in Singapore, and available on-line with the help of Underline.

For those in Singapore, I hope that you will find time to explore the exciting Sentosa Island, Gardens by the Bay, Singapore Botanic Gardens and the many other attractions unique to Singapore.

Of course, we are grateful to our sponsors and partners for their generous support of EMNLP 2023, whose contributions make it possible for us to host this world-class event.

Yuji Matsumoto (RIKEN AIP) 
EMNLP 2023 General Chair

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Samar ahmed

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Presentations

ASOS at ArAIEval Shared Task: Integrating Text and Image Embeddings for Multimodal Propaganda Detection in Arabic Memes

Alson at NADI 2024 shared task: Alson - A fine-tuned model for Arabic Dialect Translation

Qamosy at Arabic Reverse Dictionary shared task: Semi Decoder Architecture for Reverse Dictionary with SBERT Encoder | VIDEO

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