A survey on legal judgment prediction: Datasets, metrics, models and challenges
J Cui, X Shen, S Wen - IEEE Access, 2023 - ieeexplore.ieee.org
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …
predict judgment results based on fact descriptions automatically. The present work …
Diversifying dialogue generation with non-conversational text
Neural network-based sequence-to-sequence (seq2seq) models strongly suffer from the low-
diversity problem when it comes to open-domain dialogue generation. As bland and generic …
diversity problem when it comes to open-domain dialogue generation. As bland and generic …
Neural data-to-text generation via jointly learning the segmentation and correspondence
The neural attention model has achieved great success in data-to-text generation tasks.
Though usually excelling at producing fluent text, it suffers from the problem of information …
Though usually excelling at producing fluent text, it suffers from the problem of information …
Learning fine-grained fact-article correspondence in legal cases
Automatically recommending relevant law articles to a given legal case has attracted much
attention as it can greatly release human labor from searching over the large database of …
attention as it can greatly release human labor from searching over the large database of …
Compressive approaches for cross-language multi-document summarization
The popularization of social networks and digital documents has quickly increased the
multilingual information available on the Internet. However, this huge amount of data cannot …
multilingual information available on the Internet. However, this huge amount of data cannot …
Deep latent-variable models for text generation
X Shen - arXiv preprint arXiv:2203.02055, 2022 - arxiv.org
Text generation aims to produce human-like natural language output for down-stream tasks.
It covers a wide range of applications like machine translation, document summarization …
It covers a wide range of applications like machine translation, document summarization …
A Simple Yet Effective Corpus Construction Method for Chinese Sentence Compression
Y Zhao, H Kanayama, I Yoshida… - Proceedings of the …, 2022 - aclanthology.org
Deletion-based sentence compression in the English language has made significant
progress over the past few decades. However, there is a lack of large-scale and high-quality …
progress over the past few decades. However, there is a lack of large-scale and high-quality …
Students' Linguistic Knowledge in Comprehending Defamation Text
NR Askurny, S Syihabuddin - Ethical Lingua: Journal of Language …, 2022 - ethicallingua.org
This study is aimed to find out how students' linguistic knowledge to comprehend defamation
text. Defamation is defined as misuse of language to humiliate other person. The researcher …
text. Defamation is defined as misuse of language to humiliate other person. The researcher …
Assuring Chatbot Relevance at Syntactic Level
B Galitsky, B Galitsky - Developing Enterprise Chatbots: Learning …, 2019 - Springer
In this chapter we implement relevance mechanism based on similarity of parse trees for a
number of chatbot components including search. We extend the mechanism of logical …
number of chatbot components including search. We extend the mechanism of logical …
Deep latent-variable models for neural text generation
X Shen - 2021 - publikationen.sulb.uni-saarland.de
Text generation aims to produce human-like natural language output for down-stream tasks.
It covers a wide range of applications like machine translation, document summarization …
It covers a wide range of applications like machine translation, document summarization …