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Language Model-based Approaches for Legal Assistance
2020
Forum for Information Retrieval Evaluation
This paper mainly introduces our approaches for the task provided by the FIRE2020(forum for information retrieval evaluation). Task 1 has 2 sub-tasks. The first part of it is to match similar legal cases, and the second part is to match legal cases with relevant statues. We tried the language model on the first task. Language models with different hyper-parameters are used to rank the queries. And the second task is handled as a multi-classification task. We applied a pre-training language
dblp:conf/fire/LiK20
fatcat:7jmrtxxy6fcdvpy7z2jgkfsv6q