A comprehensive survey of few-shot learning: Evolution, applications, challenges, and opportunities
Few-shot learning (FSL) has emerged as an effective learning method and shows great
potential. Despite the recent creative works in tackling FSL tasks, learning valid information …
potential. Despite the recent creative works in tackling FSL tasks, learning valid information …
Generalizing from a few examples: A survey on few-shot learning
Machine learning has been highly successful in data-intensive applications but is often
hampered when the data set is small. Recently, Few-shot Learning (FSL) is proposed to …
hampered when the data set is small. Recently, Few-shot Learning (FSL) is proposed to …
A survey on text classification: From traditional to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
How does NLP benefit legal system: A summary of legal artificial intelligence
Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial
intelligence, especially natural language processing, to benefit tasks in the legal domain. In …
intelligence, especially natural language processing, to benefit tasks in the legal domain. In …
A survey on text classification: From shallow to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
An empirical survey of data augmentation for limited data learning in nlp
NLP has achieved great progress in the past decade through the use of neural models and
large labeled datasets. The dependence on abundant data prevents NLP models from being …
large labeled datasets. The dependence on abundant data prevents NLP models from being …
Neural legal judgment prediction in English
Legal judgment prediction is the task of automatically predicting the outcome of a court case,
given a text describing the case's facts. Previous work on using neural models for this task …
given a text describing the case's facts. Previous work on using neural models for this task …
Legal judgment prediction via topological learning
Abstract Legal Judgment Prediction (LJP) aims to predict the judgment result based on the
facts of a case and becomes a promising application of artificial intelligence techniques in …
facts of a case and becomes a promising application of artificial intelligence techniques in …
Cail2018: A large-scale legal dataset for judgment prediction
In this paper, we introduce the\textbf {C} hinese\textbf {AI} and\textbf {L} aw challenge
dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment …
dataset (CAIL2018), the first large-scale Chinese legal dataset for judgment …
Distinguish confusing law articles for legal judgment prediction
N Xu, P Wang, L Chen, L Pan, X Wang… - arXiv preprint arXiv …, 2020 - arxiv.org
Legal Judgment Prediction (LJP) is the task of automatically predicting a law case's
judgment results given a text describing its facts, which has excellent prospects in judicial …
judgment results given a text describing its facts, which has excellent prospects in judicial …