A Deep Learning Approach to Contract Element Extraction

Abstract

We explore how deep learning methods can be used for contract element extraction. We show that a BILSTM operating on word, POS tag, and tokenshape embeddings outperforms the linear sliding-window classifiers of our previous work, without any manually written rules. Further improvements are observed by stacking an additional LSTM on top of the BILSTM, or by… (More)
DOI: 10.3233/978-1-61499-838-9-155

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