Search Results for author: Mohammad AL-Smadi

Found 10 papers, 1 papers with code

A Benchmark Arabic Dataset for Commonsense Explanation

no code implementations18 Dec 2020 Saja AL-Tawalbeh, Mohammad AL-Smadi

Language comprehension and commonsense knowledge validation by machines are challenging tasks that are still under researched and evaluated for Arabic text.

NLP@JUST at SemEval-2020 Task 4: Ensemble Technique for BERT and Roberta to Evaluate Commonsense Validation

no code implementations SEMEVAL 2020 Emran Al-Bashabsheh, Ayah Abu Aqouleh, Mohammad AL-Smadi

This paper presents the work of the NLP@JUST team at SemEval-2020 Task 4 competition that related to commonsense validation and explanation (ComVE) task.

Common Sense Reasoning

HR@JUST Team at SemEval-2020 Task 4: The Impact of RoBERTa Transformer for Evaluation Common Sense Understanding

no code implementations SEMEVAL 2020 Heba Al-Jarrah, Rahaf Al-Hamouri, Mohammad AL-Smadi

This paper describes the results of our team HR@JUST participation at SemEval-2020 Task 4 - Commonsense Validation and Explanation (ComVE) for POST evaluation period.

Common Sense Reasoning

Is this sentence valid? An Arabic Dataset for Commonsense Validation

1 code implementation25 Aug 2020 Saja Tawalbeh, Mohammad AL-Smadi

In this paper, we present a benchmark Arabic dataset for commonsense understanding and validation as well as a baseline research and models trained using the same dataset.

Natural Language Understanding

SAJA at TRAC 2020 Shared Task: Transfer Learning for Aggressive Identification with XGBoost

no code implementations LREC 2020 Saja Tawalbeh, Mahmoud Hammad, Mohammad AL-Smadi

we have developed a system based on transfer learning technique depending on universal sentence encoder (USE) embedding that will be trained in our developed model using xgboost classifier to identify the aggressive text data from English content.

Transfer Learning

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