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Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries
Abstractive Text Summarization with Attention and Pointer-Generator Network
Attention History based Attention for Abstractive Text Summarization-YunSeok Choi (ACM-SAC 2020)
Abstractive Summarization
Abstractive Text Summarizer using Attentive RNN's
Entity-level Factual Consistency of Abstractive Text Summarization (Research Paper Walkthrough)
Fine-Tuning TinyLlama-1.1B for Abstractive News Summarization
Introduction to Text Summarization | Extractive vs Abstractive Methods - TUM Advanced NLP
The Summary Loop: Learning to Write Abstractive Summaries Without Examples + Demo | AISC
[SAIF 2019] Day 1: New Directions in Automatic Text Summarization - Jackie Cheung | Samsung
Text Summarization – Extractive vs. Abstractive with Hugging Face Transformers
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Last Updated: October 1, 2026
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Summary
Demo Video For Mid Evaluation Subject NLP Application Spring 2020. Bio: Diogo Pernes received his MSc. in Electrical and Computer Engineering from the University of Porto, and completed his PhD ... Yllias Chali (University of Lethbridge) and Chudamani Aryal (University of Lethbridge). The current encode-attend-decode ... Authors: Yizhu Liu, Qi Jia, Kenny Zhu. Video submission for CIS 522 - Deep Learning Final Project Slides ... Title : Attention History based Attention for Compare the Bi-Directional LSTM with Attention to a Pointer Generator Network to derive Update I recommend moving onto a better approach BERT for solving this complex problem. The solution that I have provided ... This project demonstrates how the TinyLlama-1.1B language model can be fine-tuned for Description: Welcome to the first lecture on Speaker(s): Philippe Laban Host: Royal Sequiera Find the recording, slides, and more info at ... Drowning in long articles and reports?