Summarization of legal documents: Where are we now and the way forward
Due to huge amount of legal information availability on the internet, as well as other sources,
it is important for the research community to do more extensive research on the area of legal …
it is important for the research community to do more extensive research on the area of legal …
[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 …
Taxonomy of abstractive dialogue summarization: scenarios, approaches, and future directions
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 …
salient information in a dialogue among two or more interlocutors. It has attracted significant …
ML-LJP: multi-law aware legal judgment prediction
Legal judgment prediction (LJP) is a significant task in legal intelligence, which aims to
assist the judges and determine the judgment result based on the case's fact description …
assist the judges and determine the judgment result based on the case's fact description …
Fedlegal: The first real-world federated learning benchmark for legal nlp
Z Zhang, X Hu, J Zhang, Y Zhang… - Proceedings of the …, 2023 - aclanthology.org
The inevitable private information in legal data necessitates legal artificial intelligence to
study privacy-preserving and decentralized learning methods. Federated learning (FL) has …
study privacy-preserving and decentralized learning methods. Federated learning (FL) has …
De-biased court's view generation with causality
Court's view generation is a novel but essential task for legal AI, aiming at improving the
interpretability of judgment prediction results and enabling automatic legal document …
interpretability of judgment prediction results and enabling automatic legal document …
Topic-oriented spoken dialogue summarization for customer service with saliency-aware topic modeling
In a customer service system, dialogue summarization can boost service efficiency by
automatically creating summaries for long spoken dialogues in which customers and agents …
automatically creating summaries for long spoken dialogues in which customers and agents …
Judgment prediction via injecting legal knowledge into neural networks
Abstract Legal Judgment Prediction (LJP) is a key problem in legal artificial intelligence,
which is aimed to predict a law case's judgment based on a given text describing the facts of …
which is aimed to predict a law case's judgment based on a given text describing the facts of …
A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering
The appropriate understanding and fast processing of lengthy legal documents are
computationally challenging problems. Designing efficient automatic summarization …
computationally challenging problems. Designing efficient automatic summarization …
Towards interactivity and interpretability: A rationale-based legal judgment prediction framework
Legal judgment prediction (LJP) is a fundamental task in legal AI, which aims to assist the
judge to hear the case and determine the judgment. The legal judgment usually consists of …
judge to hear the case and determine the judgment. The legal judgment usually consists of …