16 citations · 21 across the 12 of their papers we have counts for
16 papers
Neural Isomorphic Fields: A Transformer-based Algebraic Numerical Embedding
Hamidreza Sadeghi, Saeedeh Momtazi, Reza Safabakhsh
Neural network models often face challenges when processing very small or very large numbers due to issues such as overflow, underflow, and unstable output variations. To mitigate…
FarsiMCQGen: a Persian Multiple-choice Question Generation Framework
Mohammad Heydari Rad, Rezvan Afari, Saeedeh Momtazi
Multiple-choice questions (MCQs) are commonly used in educational testing, as they offer an efficient means of evaluating learners' knowledge. However, generating high-quality MCQs…
Hybrid Dialogue State Tracking for Persian Chatbots: A Language Model-Based Approach
Samin Mahdipour Aghabagher, Saeedeh Momtazi
Dialogue State Tracking (DST) is an essential element of conversational AI with the objective of deeply understanding the conversation context and leading it toward answering user…
PerHalluEval: Persian Hallucination Evaluation Benchmark for Large Language Models
Mohammad Hosseini, Kimia Hosseini, Shayan Bali +2
Hallucination is a persistent issue affecting all large language Models (LLMs), particularly within low-resource languages such as Persian. PerHalluEval (Persian Hallucination Eval…
MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language
Farhan Farsi, Farnaz Aghababaloo, Shahriar Shariati Motlagh +8
As large language models (LLMs) become increasingly embedded in our daily lives, evaluating their quality and reliability across diverse contexts has become essential. While compre…
E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction
Mohammad Ghiasvand Mohammadkhani, Niloofar Ranjbar, Saeedeh Momtazi
Generative approaches have significantly influenced Aspect-Based Sentiment Analysis (ABSA), garnering considerable attention. However, existing studies often predict target text co…
Multi Sentence Description of Complex Manipulation Action Videos
Fatemeh Ziaeetabar, Reza Safabakhsh, Saeedeh Momtazi +2
Automatic video description requires the generation of natural language statements about the actions, events, and objects in the video. An important human trait, when we describe a…
A Hierarchical Graph-based Approach for Recognition and Description Generation of Bimanual Actions in Videos
Fatemeh Ziaeetabar, Reza Safabakhsh, Saeedeh Momtazi +2
Nuanced understanding and the generation of detailed descriptive content for (bimanual) manipulation actions in videos is important for disciplines such as robotics, human-computer…
X-CapsNet For Fake News Detection
Mohammad Hadi Goldani, Reza Safabakhsh, Saeedeh Momtazi
News consumption has significantly increased with the growing popularity and use of web-based forums and social media. This sets the stage for misinforming and confusing people. To…
Explaining Recommendation System Using Counterfactual Textual Explanations
Niloofar Ranjbar, Saeedeh Momtazi, MohammadMehdi Homayounpour
Currently, there is a significant amount of research being conducted in the field of artificial intelligence to improve the explainability and interpretability of deep learning mod…
A Semantic Modular Framework for Events Topic Modeling in Social Media
Arya Hadizadeh Moghaddam, Saeedeh Momtazi
The advancement of social media contributes to the growing amount of content they share frequently. This framework provides a sophisticated place for people to report various real-…
PQuAD: A Persian Question Answering Dataset
Kasra Darvishi, Newsha Shahbodagh, Zahra Abbasiantaeb +1
We present Persian Question Answering Dataset (PQuAD), a crowdsourced reading comprehension dataset on Persian Wikipedia articles. It includes 80,000 questions along with their ans…
Deep Neural Review Text Interaction for Recommendation Systems
Parisa Abolfath Beygi Dezfouli, Saeedeh Momtazi, Mehdi Dehghan
Users' reviews contain valuable information which are not taken into account in most recommender systems. According to the latest studies in this field, using review texts could no…
Detecting Fake News with Capsule Neural Networks
Mohammad Hadi Goldani, Saeedeh Momtazi, Reza Safabakhsh
Fake news is dramatically increased in social media in recent years. This has prompted the need for effective fake news detection algorithms. Capsule neural networks have been succ…
Neural Relation Prediction for Simple Question Answering over Knowledge Graph
Amin Abolghasemi, Saeedeh Momtazi
Knowledge graphs are widely used as a typical resource to provide answers to factoid questions. In simple question answering over knowledge graphs, relation extraction aims to pred…
Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey
Zahra Abbasiantaeb, Saeedeh Momtazi
Text-based Question Answering (QA) is a challenging task which aims at finding short concrete answers for users' questions. This line of research has been widely studied with infor…