Bringing order into the realm of Transformer-based language models for artificial intelligence and law. (arXiv:2308.05502v1 [cs.CL])

Transformer-based language models (TLMs) have widely been recognized to be a
cutting-edge technology for the successful development of deep-learning-based
solutions to problems and applications that require natural language processing
and understanding. Like for other textual domains, TLMs have indeed pushed the
state-of-the-art of AI approaches for many tasks of interest in the legal
domain. Despite the first Transformer model being proposed about six years ago,
there has been a rapid progress of this technology at an unprecedented rate,
whereby BERT …

applications art artificial artificial intelligence arxiv development domains edge edge technology indeed intelligence language language models language processing law natural natural language natural language processing processing solutions state technology textual transformer understanding