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A Free Format Legal Question Answering System

2021-11-01 · EMNLP (NLLP) 2021 11 · Soha Khazaeli, Janardhana Punuru, Chad Morris, Sanjay Sharma, Bert Staub, Michael Cole, Sunny Chiu-Webster, Dhruv Sakalley

We present an information retrieval-based question answer system to answer legal questions. The system is not limited to a predefined set of questions or patterns and uses both sparse vector search and embeddings for input to a BERT-based answer re-ranking system. A combination of general domain and legal domain data is used for training. This natural question answering system is in production and is used commercially.

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Information RetrievalQuestion AnsweringRe-RankingRetrieval

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