Towards Unsupervised Question Answering System with Multi-level Summarization for Legal Text

arXiv:2403.13107v1 Announce Type: cross
Abstract: This paper summarizes Team SCaLAR's work on SemEval-2024 Task 5: Legal Argument Reasoning in Civil Procedure. To address this Binary Classification task, which was daunting due to the complexity of the Legal Texts involved, we propose a simple yet novel similarity and distance-based unsupervised approach to generate labels. Further, we explore the Multi-level fusion of Legal-Bert embeddings using ensemble features, including CNN, GRU, and LSTM. To address the lengthy nature of Legal explanation in the …

abstract arxiv binary civil classification complexity cs.cl cs.cy cs.lg legal novel paper question question answering reasoning simple summarization team text type unsupervised work