Aug 16, 2022 · We propose the Tawasul Arabic question similarity (TAQS) system with four Arabic semantic question similarity models using deep learning techniques.
The proposed Tawasul Arabic question similarity (TAQS) system with four Arabic semantic question similarity models using deep learning techniques surpassed ...
Our proposed TAQS model surpassed the performance of the state-of-the-art BiLSTM with SkipGram by a gain of 43.19% in accuracy. INDEX TERMS Natural Language ...
Our Arabic question similarity system consists of five Arabic semantic question similarity models that utilize deep-learning techniques. We employed ...
Missing: TAQS: | Show results with:TAQS:
... TAQS: An Arabic Question Similarity System Using Transfer Learning of BERT with BiLSTM | With the rapid increase of Arabic content on the web comes an ...
2022, Advances in Neural Information Processing Systems. TAQS: An Arabic Question Similarity System Using Transfer Learning of BERT With BiLSTM. 2022, IEEE ...
Both studies used a Siamese LSTM with BERT representation. ... TAQS: An Arabic Question Similarity System Using Transfer Learning of BERT with BiLSTM.
May 25, 2024 · This study introduces. AraMed, a large-scale Arabic Medical Question Answering dataset addressing the limited resources available for Arabic.
TAQS: An Arabic Question Similarity System Using Transfer Learning of BERT With BiLSTM · Topical and Non-Topical Approaches to Measure Similarity between Arabic ...
Mar 9, 2021 · In this paper, we discuss a framework for calculating similarities between a given input query and a set of predefined questions to retrieve the question which ...