Bridging language and items for retrieval and recommendation
This paper introduces BLaIR, a series of pretrained sentence embedding models
specialized for recommendation scenarios. BLaIR is trained to learn correlations between …
specialized for recommendation scenarios. BLaIR is trained to learn correlations between …
Leveraging Event Schema to Ask Clarifying Questions for Conversational Legal Case Retrieval
Legal case retrieval is a special IR task aiming to retrieve supporting cases for a given query
case. Existing works have shown that conversational search paradigm can improve users' …
case. Existing works have shown that conversational search paradigm can improve users' …
MUSER: A Multi-View Similar Case Retrieval Dataset
Similar case retrieval (SCR) is a representative legal AI application that plays a pivotal role
in promoting judicial fairness. However, existing SCR datasets only focus on the fact …
in promoting judicial fairness. However, existing SCR datasets only focus on the fact …
LEEC: A Legal Element Extraction Dataset with an Extensive Domain-Specific Label System
X Zongyue, L Huanghai, H Yiran, K Kangle… - arXiv preprint arXiv …, 2023 - arxiv.org
As a pivotal task in natural language processing, element extraction has gained significance
in the legal domain. Extracting legal elements from judicial documents helps enhance …
in the legal domain. Extracting legal elements from judicial documents helps enhance …
Determining Legal Relevance with LLMs using Relevance Chain Prompting
O Bilgin, J Licato - The International FLAIRS Conference …, 2024 - journals.flvc.org
In legal reasoning, part of determining whether evidence should be admissible in court
requires assessing its relevance to the case, often formalized as its probative value---the …
requires assessing its relevance to the case, often formalized as its probative value---the …