The study proposes a hybrid model, combining sentence representations from AraBERT with static word vectors trained on Arabic social media corpora.

Mar 9, 2021 · The study proposes a hybrid model, combining sentence representations from AraBERT with static word vectors trained on Arabic social media corpora.

The study proposes a hybrid model, combining sentence representations from AraBERT with static word vectors trained on Arabic social media corpora. The proposed ...

Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification. Amey Hengle, Atharva Kshirsagar, ...

ArSarcasm is a new Arabic sarcasm detection dataset. The dataset was created using previously available Arabic sentiment analysis datasets.

Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.

We also proposed a hybrid DL approach for sarcasm detection that combines static and contextualized representations using pre-trained LM, such as Word2Vec word ...

Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification · Shaily Desai, Amey Hengle, Atharva ...

This paper presents designated solutions for sentiment classification and sarcasm detection tasks that were introduced as part of a shared task by Abu Farha ...

Mar 9, 2021 · Combining Context-Free and Contextualized Representations for Arabic. Sarcasm Detection and Sentiment Identification. Amey Hengle1, Atharva ...