Bringing order into the realm of Transformer-based language models for artificial intelligence and law
Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …
edge technology for the successful development of deep-learning-based solutions to …
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 …
[HTML][HTML] Lawformer: A pre-trained language model for chinese legal long documents
Legal artificial intelligence (LegalAI) aims to benefit legal systems with the technology of
artificial intelligence, especially natural language processing (NLP). Recently, inspired by …
artificial intelligence, especially natural language processing (NLP). Recently, inspired by …
Legal judgment prediction via event extraction with constraints
While significant progress has been made on the task of Legal Judgment Prediction (LJP) in
recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to …
recent years, the incorrect predictions made by SOTA LJP models can be attributed in part to …
Contrastive learning for legal judgment prediction
Legal judgment prediction (LJP) is a fundamental task of legal artificial intelligence. It aims to
automatically predict the judgment results of legal cases. Three typical subtasks are relevant …
automatically predict the judgment results of legal cases. Three typical subtasks are relevant …
LeCaRD: a legal case retrieval dataset for Chinese law system
Legal case retrieval is of vital importance for ensuring justice in different kinds of law
systems and has recently received increasing attention in information retrieval (IR) research …
systems and has recently received increasing attention in information retrieval (IR) research …
Neurjudge: A circumstance-aware neural framework for legal judgment prediction
Legal Judgment Prediction is a fundamental task in legal intelligence of the civil law system,
which aims to automatically predict the judgment results of multiple subtasks, such as …
which aims to automatically predict the judgment results of multiple subtasks, such as …
Incorporating structural information into legal case retrieval
Legal case retrieval has received increasing attention in recent years. However, compared
to ad hoc retrieval tasks, legal case retrieval has its unique challenges. First, case …
to ad hoc retrieval tasks, legal case retrieval has its unique challenges. First, case …
Understanding relevance judgments in legal case retrieval
Legal case retrieval, which aims to retrieve relevant cases given a query case, has drawn
increasing research attention in recent years. While much research has worked on …
increasing research attention in recent years. While much research has worked on …
LegalGNN: Legal information enhanced graph neural network for recommendation
Recommendation in legal scenario (Legal-Rec) is a specialized recommendation task that
aims to provide potential helpful legal documents for users. While there are mainly three …
aims to provide potential helpful legal documents for users. While there are mainly three …