Legal Party Extraction from Legal Opinion Text with Sequence to Sequence Learning

In the field of natural language processing, domain specific information retrieval using given documents has been a prominent and ongoing research area. The automatic extraction of the legal parties involved in a legal case has a significant impact on the proceedings of legal cases. This is a study proposing a novel way to extract the legal parties involved in a given legal document. The motivation behind this study is that there is the absence of a proper automated system to accurately identify the legal parties in a legal document. We combined several existing natural language processing annotators together with a sequence to sequence learning model to achieve the goal of extracting legal parties in a given court case document. Then, our methodology was evaluated with manually labeled court case sentences. The outcomes of the evaluation demonstrate that our system is successful in identifying legal parties.