This work examines the presence of modularity in pre-trained Transformer...
Injecting external knowledge can improve the performance of pre-trained
...
Large-scale pre-trained models (PTMs) have been widely used in
document-...
Humans possess an extraordinary ability to create and utilize tools, all...
Recognizing facts is the most fundamental step in making judgments, henc...
Legal artificial intelligence (LegalAI) aims to benefit legal systems wi...
In a legal system, judgment consistency is regarded as one of the most
i...
Existing sequential recommendation methods rely on large amounts of trai...
Distant supervision (DS) has been widely used to generate auto-labeled d...
Recommender systems aim to provide item recommendations for users, and a...
Legal Artificial Intelligence (LegalAI) focuses on applying the technolo...
Relational facts are an important component of human knowledge, which ar...
We present JEC-QA, the largest question answering dataset in the legal
d...
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Simila...
While adversarial games have been well studied in various board games an...
In this paper, we give an overview of the Legal Judgment Prediction (LJP...
In this paper, we introduce the Chinese AI and Law
challenge dataset (CA...