Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization

25 May 2023

Papers citing "Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization"

7 / 7 papers shown

Title
Faithfulness-Aware Decoding Strategies for Abstractive Summarization David Wan Mengwen Liu Kathleen McKeown Markus Dreyer Mohit Bansal HILM 111 32 0 06 Mar 2023
An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics Huan Yee Koh Jiaxin Ju Ming Liu Shirui Pan 73 122 0 03 Jul 2022
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts Yuta Koreeda Christopher D. Manning AILaw 87 96 0 05 Oct 2021
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English Ilias Chalkidis Abhik Jana D. Hartung M. Bommarito Ion Androutsopoulos Daniel Martin Katz Nikolaos Aletras AILaw ELM 123 247 0 03 Oct 2021
Entity-level Factual Consistency of Abstractive Text Summarization Feng Nan Ramesh Nallapati Zhiguo Wang Cicero Nogueira dos Santos Henghui Zhu Dejiao Zhang Kathleen McKeown Bing Xiang HILM 142 157 0 18 Feb 2021
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer Siyu Ding Junyuan Shang Shuohuan Wang Yu Sun Hao Tian Hua-Hong Wu Haifeng Wang 60 52 0 31 Dec 2020
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 207 1,252 0 14 Nov 2016