Short-text semantic similarity (stss): Techniques, challenges and future perspectives
In natural language processing, short-text semantic similarity (STSS) is a very prominent
field. It has a significant impact on a broad range of applications, such as question …
field. It has a significant impact on a broad range of applications, such as question …
Recent developments in Arabic conversational AI: a literature review
Conversational AI is one of the most active research areas in AI, and it has gained more
attention from academia as well as industry. Given recent advancements in several …
attention from academia as well as industry. Given recent advancements in several …
A panoramic survey of natural language processing in the Arab world
THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …
signed, or written) that has evolved naturally in humans without intentional human planning …
Semantic textual similarity for modern standard and dialectal Arabic using transfer learning
Semantic Textual Similarity (STS) is the task of identifying the semantic correlation between
two sentences of the same or different languages. STS is an important task in natural …
two sentences of the same or different languages. STS is an important task in natural …
TAQS: an Arabic question similarity system using transfer learning of BERT with BILSTM
WT Alshammari, S AlHumoud - IEEE Access, 2022 - ieeexplore.ieee.org
With the rapid increase of Arabic content on the web comes an increased need for short and
accurate answers to queries. Machine question answering has appeared as an important …
accurate answers to queries. Machine question answering has appeared as an important …
[PDF][PDF] NSURL-2019 task 8: Semantic question similarity in arabic
Question semantic similarity (Q2Q) is a challenging task that is very useful in many NLP
applications, such as detecting duplicate questions and question answering systems. In this …
applications, such as detecting duplicate questions and question answering systems. In this …
State-of-the Art: Short Text Semantic Similarity (STSS) Techniques in Question Answering Systems (QAS)
Abstract Semantics can be used to assess responses in question answering systems (QAS).
The responses are typically short sentences. Assessing short sentences for similarity with …
The responses are typically short sentences. Assessing short sentences for similarity with …
Automatic Short Answer Grading (ASAG) using Attention-Based Deep Learning MODEL
In artificial intelligence, automatic short answer grading (ASAG) sparked the interest of many
researchers. These Systems are used to evaluate the student's performance based on their …
researchers. These Systems are used to evaluate the student's performance based on their …
[PDF][PDF] A bert-gru model for measuring the similarity of arabic text
Semantic Textual Similarity (STS) aims to assess the semantic similarity between two pieces
of text. As a challenging task in natural language processing, various approaches for STS in …
of text. As a challenging task in natural language processing, various approaches for STS in …
Quranic verses semantic relatedness using AraBert
Bidirectional Encoder Representations from Transformers (BERT) has gained popularity in
recent years producing state-of-the-art performances across Natural Language Processing …
recent years producing state-of-the-art performances across Natural Language Processing …