Tohida Rehman

According to our database, Tohida Rehman authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing Business Analytics through Hybrid Summarization of Financial Reports.

Tohida Rehman

CoRR, January, 2026

2025

Comparative Analysis of Abstractive Summarization Models for Clinical Radiology Reports.

Anindita Bhattacharya, Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay

CoRR, June, 2025

Evaluating LLMs and Pre-trained Models for Text Summarization Across Diverse Datasets.

Tohida Rehman, Soumabha Ghosh, Kuntal Das, Souvik Bhattacharjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay

CoRR, February, 2025

How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning.

Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay

CoRR, January, 2025

Automatic Scientific Summarization: A Neural Approach to Research Highlight Generation.

Ayanika Samanta, Tohida Rehman

Proceedings of the Working Notes of FIRE 2025, 2025

Generating Research Highlights from Scientific Literature: Findings from the FIRE 2025 SciHigh Track.

Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay

Proceedings of the Working Notes of FIRE 2025, 2025

Overview of the SciHigh Track at FIRE 2025: Research Highlight Generation from Scientific Papers.

Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay

Proceedings of the 17th annual meeting of the Forum for Information Retrieval Evaluation, 2025

From Abstract to Highlight: Automatic Research Highlight Generation.

Anindita Bhattacharya, Tohida Rehman

Proceedings of the Working Notes of FIRE 2025, 2025

2024

Transfer Learning and Transformer Architecture for Financial Sentiment Analysis.

Tohida Rehman, Raghubir Bose, Samiran Chattopadhyay, Debarshi Kumar Sanyal

CoRR, 2024

Can Pre-trained Language Models Generate Titles for Research Papers?

Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay

Proceedings of the Sustainability and Empowerment in the Context of Digital Libraries, 2024

Analysis of Multidomain Abstractive Summarization Using Salience Allocation.

Tohida Rehman, Raghubir Bose, Soumik Dey, Samiran Chattopadhyay

Proceedings of the Computational Intelligence in Communications and Business Analytics, 2024

2023

Research Highlight Generation with ELMo Contextual Embeddings.

Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay

Scalable Comput. Pract. Exp., April, 2023

Hallucination Reduction in Long Input Text Summarization.

Tohida Rehman, Ronit Mandal, Abhishek Agarwal, Debarshi Kumar Sanyal

CoRR, 2023

An Analysis of Abstractive Text Summarization Using Pre-trained Models.

Tohida Rehman, Suchandan Das, Debarshi Kumar Sanyal, Samiran Chattopadhyay

CoRR, 2023

Abstractive Text Summarization using Attentive GRU based Encoder-Decoder.

Tohida Rehman, Suchandan Das, Debarshi Kumar Sanyal, Samiran Chattopadhyay

CoRR, 2023

Generation of Highlights From Research Papers Using Pointer-Generator Networks and SciBERT Embeddings.

Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay, Plaban Kumar Bhowmick, Partha Pratim Das

IEEE Access, 2023

Abstractive Summarization of Scientific Documents: Models and Evaluation Techniques.

Tohida Rehman, Samiran Chattopadhyay, Debarshi Kumar Sanyal

Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

2022

Named Entity Recognition Based Automatic Generation of Research Highlights.

Tohida Rehman, Debarshi Kumar Sanyal, Prasenjit Majumder, Samiran Chattopadhyay

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

2021

Automatic Generation of Research Highlights from Scientific Abstracts.

Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay, Plaban Kumar Bhowmick, Partha Pratim Das

Proceedings of the 2nd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE 2021) co-located with JCDL 2021, 2021