Summarizing Indian Languages using Multilingual Transformers based
Models

Summarizing Indian Languages using Multilingual Transformers based Models

29 March 2023

Vasudeva Varma

Papers citing "Summarizing Indian Languages using Multilingual Transformers based Models"

7 / 7 papers shown

Title
LongT5: Efficient Text-To-Text Transformer for Long Sequences Mandy Guo Joshua Ainslie David C. Uthus Santiago Ontanon Jianmo Ni Yun-hsuan Sung Yinfei Yang VLM 62 313 0 15 Dec 2021
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization Wen Xiao Iz Beltagy Giuseppe Carenini Arman Cohan CVBM 131 118 0 16 Oct 2021
IndicBART: A Pre-trained Model for Indic Natural Language Generation Raj Dabre Himani Shrotriya Anoop Kunchukuttan Ratish Puduppully Mitesh M. Khapra Pratyush Kumar 105 74 0 07 Sep 2021
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal D. Ghalandari Chris Hokamp N. Pham John Glover Georgiana Ifrim 45 109 0 20 May 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 171 4,071 0 10 Apr 2020
On the Use of ArXiv as a Dataset Colin B. Clement Matthew Bierbaum K. O’Keeffe Alexander A. Alemi AI4CE 376 133 0 30 Apr 2019
Get To The Point: Summarization with Pointer-Generator Networks A. See Peter J. Liu Christopher D. Manning 3DPC 298 4,019 0 14 Apr 2017