LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation

AbstractStandard multi-task benchmarks are essential for developing pretraining models that can generalize to various downstream tasks. Existing benchmarks for natural language processing (NLP) usually focus only on understanding or generating short texts. However, long text modeling...

Full description

Bibliographic Details

Published in:	Transactions of the Association for Computational Linguistics
Main Authors:	Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang
Format:	Article
Language:	English
Published:	The MIT Press 2022-01-01
Online Access:	https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00469/110537/LOT-A-Story-Centric-Benchmark-for-Evaluating