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Unsupervised Inflection Generation Using Neural Language Modeling
The use of Deep Neural Network architectures for Language Modeling has recently seen a tremendous increase in interest in the field of NLP with the advent of transfer learning and the shift in focus from rule-based and predictive models (supervised learning) to generative or unsupervised models to solve the long-standing problems in NLP like Information Extraction or Question Answering.
Exploring the Use of Text Classification in the Legal Domain
In this paper, we investigate the application of text classification methods to support law professionals.
Predicting the Law Area and Decisions of French Supreme Court Cases
In this paper, we investigate the application of text classification methods to predict the law area and the decision of cases judged by the French Supreme Court.
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