Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature

7 July 2020

Papers citing "Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature"

8 / 8 papers shown

Title
On the Evaluation of Machine-Generated Reports James Mayfield Eugene Yang Dawn J Lawrie Sean MacAvaney Paul McNamee ... Orion Weller Efsun Kayi Kate Sanders Marc Mason Noah Hibbler ALM 101 12 0 02 May 2024
Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study Prottay Kumar Adhikary Aseem Srivastava Shivani Kumar Salam Michael Singh Puneet Manuja Jini K. Gopinath Vijay Krishnan Swati Kedia K. Deb Tanmoy Chakraborty AI4MH 40 8 0 29 Feb 2024
A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models Qianqian Xie Zheheng Luo Benyou Wang Sophia Ananiadou LM&MA VLM 24 8 0 18 Apr 2023
A Survey on Medical Document Summarization Raghav Jain Anubhav Jangra S. Saha Adam Jatowt 3DGS MedIm 39 19 0 03 Dec 2022
BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search engines Lisa Langnickel Alexander Schulz Barbara Hammer Juliane Fluck CLL MedIm 14 3 0 21 Feb 2022
RewardsOfSum: Exploring Reinforcement Learning Rewards for Summarisation Jacob Parnell Inigo Jauregi Unanue Massimo Piccardi 17 5 0 08 Jun 2021
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks Michihiro Yasunaga Jungo Kasai Rui Zhang Alexander R. Fabbri Irene Z Li Dan Friedman Dragomir R. Radev 73 206 0 04 Sep 2019
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,254 0 14 Nov 2016