Automated Multi-document Text Summarization from Heterogeneous Data Sources. - Mahsa Abazari Kia (ECIR (2), 2021)

Twitter Flu Trend: A Hybrid Deep Neural Network for Tweet Analysis. - Mahsa Abazari Kia; Fatemeh Ebrahimi Khaksefidi (SGAI Conf., 2022)

Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion. - Mahsa Abazari Kia; Aygul Garifullina; Mathias Kern; Jon Chamberlain; Shoaib Jameel (IEEE Access, 2022)

DBERT-ELVA: Discourse-Aware Extractive Text Summarization with Autoencoder. - Mahsa Abazari Kia (ICTAI, 2023)

Question-driven text summarization with extractive-abstractive frameworks. - Mahsa Abazari Kia (2023)

LACNN: A Deep Learning Model for Persian Question Analysis. - Fatemeh Ebrahimi Khaksefidi; Afsaneh Fatemi; Mohammad Ali Nematbakhsh; Mahsa Abazari Kia (ICAART (3), 2024)

A Generalizable Context-Aware Deep Learning Model for Abusive Language Detection. - Mahsa Abazari Kia; Dorsa Samiee; Nasrin Pournajar (ICANN (7), 2024)

ACKT : Self-Attentive Convolutional Model for Knowledge Tracing. - Mahsa Abazari Kia; Alexandros Koliousis (KES, 2024)

From Monolingual to Multilingual: Enhancing Hate Speech Detection with Multi-channel Language Models. - Mahsa Abazari Kia; Dorsa Samiee (KES, 2024)

Question-driven text summarization using an extractive-abstractive framework. - Mahsa Abazari Kia; Aygul Garifullina; Mathias Kern; Jon Chamberlain; Shoaib Jameel (Comput. Intell., 2024)