23 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 1 cited
Neural Token Segmentation for High Token-Internal Complexity
Idan Brusilovsky, Reut Tsarfaty
Tokenizing raw texts into word units is an essential pre-processing step for critical tasks in the NLP pipeline such as tagging, parsing, named entity recognition, and more. For mo…
cs.LG2021
Topo2vec: Topography Embedding Using the Fractal Effect
Jonathan Kavitzky, Jonathan Zarecki, Idan Brusilovsky +1
Recent advances in deep learning have transformed many fields by introducing generic embedding spaces, capable of achieving great predictive performance with minimal labeling effor…
cs.CL2021★ 23 cited
AlephBERT:A Hebrew Large Pre-Trained Language Model to Start-off your Hebrew NLP Application With
Amit Seker, Elron Bandel, Dan Bareket +3
Large Pre-trained Language Models (PLMs) have become ubiquitous in the development of language understanding technology and lie at the heart of many artificial intelligence advance…