15 citations · 22 across the 6 of their papers we have counts for
6 papers
Generating Query-Focused Summarization Datasets from Query-Free Summarization Datasets
Yllias Chali, Deen Abdullah
Large-scale datasets are widely used to perform summarization tasks, but they may not include queries alongside documents and summaries. In the search for suitable datasets for Que…
Text Summarization With Graph Attention Networks
Mohammadreza Ardestani, Yllias Chali
This study aimed to leverage graph information, particularly Rhetorical Structure Theory (RST) and Co-reference (Coref) graphs, to enhance the performance of our baseline summariza…
Generating Query Focused Summaries without Fine-tuning the Transformer-based Pre-trained Models
Deen Abdullah, Shamanth Nayak, Gandharv Suri +1
Fine-tuning the Natural Language Processing (NLP) models for each new data set requires higher computational time associated with increased carbon footprint and cost. However, fine…
Combining State-of-the-Art Models with Maximal Marginal Relevance for Few-Shot and Zero-Shot Multi-Document Summarization
David Adams, Gandharv Suri, Yllias Chali
In Natural Language Processing, multi-document summarization (MDS) poses many challenges to researchers above those posed by single-document summarization (SDS). These challenges i…
Extract with Order for Coherent Multi-Document Summarization
Mir Tafseer Nayeem, Yllias Chali
In this work, we aim at developing an extractive summarizer in the multi-document setting. We implement a rank based sentence selection using continuous vector representations alon…
Complex Question Answering: Unsupervised Learning Approaches and Experiments
Yllias Chali, Shafiq Rayhan Joty, Sadid A. Hasan
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topic-oriented, informative multi-document summarization wh…