Deep learning in law: early adaptation and legal word embeddings trained on large corpora.
Ilias ChalkidisDimitrios KampasPublished in: Artif. Intell. Law (2019)
Keyphrases
- deep learning
- legal reasoning
- case law
- legal argument
- pos taggers
- unsupervised learning
- machine learning
- unsupervised feature learning
- natural language processing
- co occurrence
- n gram
- weakly supervised
- restricted boltzmann machine
- deep architectures
- case based reasoning
- keywords
- mental models
- training set
- training data
- computer vision
- data sets