33 citations · 135 across the 33 of their papers we have counts for
35 papers
XHotpotQA: A Benchmark for Cross-Lingual Knowledge Composition in Multi-Hop Question Answering
Iman Barati, Arash Ghafouri, Behrouz Minaei-Bidgoli
Knowledge-intensive multi-hop question answering requires systems to select evidence and compose dependent facts, yet multilingual benchmarks usually translate an entire example in…
DREaM: Drug-Drug Relation Extraction via Transfer Learning Method
Ali Fata, Hossein Rahmani, Parinaz Soltanzadeh +2
Relation extraction between drugs plays a crucial role in identifying drug drug interactions and predicting side effects. The advancement of machine learning methods in relation ex…
Rezwan: Leveraging Large Language Models for Comprehensive Hadith Text Processing: A 1.2M Corpus Development
Majid Asgari-Bidhendi, Muhammad Amin Ghaseminia, Alireza Shahbazi +3
This paper presents the development of Rezwan, a large-scale AI-assisted Hadith corpus comprising over 1.2M narrations, extracted and structured through a fully automated pipeline.…
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks
Iman Barati, Arash Ghafouri, Behrouz Minaei-Bidgoli
Multi-hop question answering requires a system to identify and integrate evidence distributed across documents, yet large language models remain vulnerable to irrelevant context. W…
Approximation Algorithms for the Freeze Tag Problem inside Polygons
Fatemeh Rajabi-Alni, Alireza Bagheri, Behrouz Minaei-Bidgoli
The freeze tag problem (FTP) aims to awaken a swarm of robots with one or more initial awake robots as soon as possible. Each awake robot must touch a sleeping robot to wake it up.…
A New Method for Cross-Lingual-based Semantic Role Labeling
Mohammad Ebrahimi, Behrouz Minaei Bidgoli, Nasim Khozouei
Semantic role labeling is a crucial task in natural language processing, enabling better comprehension of natural language. However, the lack of annotated data in multiple language…
PersianLLaMA: Towards Building First Persian Large Language Model
Mohammad Amin Abbasi, Arash Ghafouri, Mahdi Firouzmandi +2
Despite the widespread use of the Persian language by millions globally, limited efforts have been made in natural language processing for this language. The use of large language…
Borhan: A Novel System for Prioritized Default Logic
Alireza Shahbazi, Mohammad Hossein Khojasteh, Behrouz Minaei-Bidgoli
Prioritized Default Logic presents an optimal solution for addressing real-world problems characterized by incomplete information and the need to establish preferences among divers…
Emulating the Human Mind: A Neural-symbolic Link Prediction Model with Fast and Slow Reasoning and Filtered Rules
Mohammad Hossein Khojasteh, Najmeh Torabian, Ali Farjami +2
Link prediction is an important task in addressing the incompleteness problem of knowledge graphs (KG). Previous link prediction models suffer from issues related to either perform…
Noor-Ghateh: A Benchmark Dataset for Evaluating Arabic Word Segmenters in Hadith Domain
Huda AlShuhayeb, Behrouz Minaei-Bidgoli, Mohammad E. Shenassa +1
There are numerous complex and rich morphological features in the Arabic language, which are highly useful when analyzing traditional Arabic textbooks, especially in the literary a…
Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models
Saeideh Niksirat Aghdam, Sayyed Ali Hossayni, Erfan Khedersolh Sadeh +2
Semantic role labeling (SRL) is the process of detecting the predicate-argument structure of each predicate in a sentence. SRL plays a crucial role as a pre-processing step in many…
PESTS: Persian_English Cross Lingual Corpus for Semantic Textual Similarity
Mohammad Abdous, Poorya Piroozfar, Behrouz Minaei Bidgoli
One of the components of natural language processing that has received a lot of investigation recently is semantic textual similarity. In computational linguistics and natural lang…
Farspredict: A benchmark dataset for link prediction
Najmeh Torabian, Behrouz Minaei-Bidgoli, Mohsen Jahanshahi
Link prediction with knowledge graph embedding (KGE) is a popular method for knowledge graph completion. Furthermore, training KGEs on non-English knowledge graph promote knowledge…
Evaluating Persian Tokenizers
Danial Kamali, Behrooz Janfada, Mohammad Ebrahim Shenasa +1
Tokenization plays a significant role in the process of lexical analysis. Tokens become the input for other natural language processing tasks, like semantic parsing and language mo…
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods
Mohammad Javad Saeedizade, Najmeh Torabian, Behrouz Minaei-Bidgoli
The Link Prediction is the task of predicting missing relations between entities of the knowledge graph. Recent work in link prediction has attempted to provide a model for increas…
A Sample-Based Training Method for Distantly Supervised Relation Extraction with Pre-Trained Transformers
Mehrdad Nasser, Mohamad Bagher Sajadi, Behrouz Minaei-Bidgoli
Multiple instance learning (MIL) has become the standard learning paradigm for distantly supervised relation extraction (DSRE). However, due to relation extraction being performed…
Interval Probabilistic Fuzzy WordNet
Yousef Alizadeh-Q, Behrouz Minaei-Bidgoli, Sayyed-Ali Hossayni +4
WordNet lexical-database groups English words into sets of synonyms called "synsets." Synsets are utilized for several applications in the field of text-mining. However, they were…
An Unsupervised Language-Independent Entity Disambiguation Method and its Evaluation on the English and Persian Languages
Majid Asgari-Bidhendi, Behrooz Janfada, Amir Havangi +2
Entity Linking is one of the essential tasks of information extraction and natural language understanding. Entity linking mainly consists of two tasks: recognition and disambiguati…
IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text using Deep Neural Networks and Linear Baselines
Soroush Javdan, Taha Shangipour ataei, Behrouz Minaei-Bidgoli
Sentiment Analysis is a well-studied field of Natural Language Processing. However, the rapid growth of social media and noisy content within them poses significant challenges in a…
PERLEX: A Bilingual Persian-English Gold Dataset for Relation Extraction
Majid Asgari-Bidhendi, Mehrdad Nasser, Behrooz Janfada +1
Relation extraction is the task of extracting semantic relations between entities in a sentence. It is an essential part of some natural language processing tasks such as informati…
FarsBase-KBP: A Knowledge Base Population System for the Persian Knowledge Graph
Majid Asgari-Bidhendi, Behrooz Janfada, Behrouz Minaei-Bidgoli
While most of the knowledge bases already support the English language, there is only one knowledge base for the Persian language, known as FarsBase, which is automatically created…
ParsEL 1.0: Unsupervised Entity Linking in Persian Social Media Texts
Majid Asgari-Bidhendi, Farzane Fakhrian, Behrouz Minaei-Bidgoli
In recent years, social media data has exponentially increased, which can be enumerated as one of the largest data repositories in the world. A large portion of this social media d…
Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian
Taha Shangipour Ataei, Kamyar Darvishi, Soroush Javdan +2
Due to the increased availability of online reviews, sentiment analysis had been witnessed a booming interest from the researchers. Sentiment analysis is a computational treatment…
Certainty of outlier and boundary points processing in data mining
Elyas Rashno, Sanaz Saki Norouzi, Behrouz Minaei-bidgoli +1
Data certainty is one of the issues in the real-world applications which is caused by unwanted noise in data. Recently, more attentions have been paid to overcome this problem. We…