Taxonomy of abstractive dialogue summarization: scenarios, approaches, and future directions

Q Jia, Y Liu, S Ren, KQ Zhu - ACM Computing Surveys, 2023 - dl.acm.org
Abstractive dialogue summarization generates a concise and fluent summary covering the
salient information in a dialogue among two or more interlocutors. It has attracted significant …

Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction

L Gan, B Li, K Kuang, Y Zhang, L Wang… - arXiv preprint arXiv …, 2022 - arxiv.org
Given the fact description text of a legal case, legal judgment prediction (LJP) aims to predict
the case's charge, law article and penalty term. A core problem of LJP is how to distinguish …

A Survey of Factual Consistency in Summarization from 2021 to 2023

Y Li, X Hao, L Li - 2023 4th International Conference on …, 2023 - ieeexplore.ieee.org
Factual consistency problem has become an increasingly important issue in summarization
in recent years. Since 2019, researchers have continuously pointed out that there are many …