1 citations · 2 across the 4 of their papers we have counts for
5 papers
On the Proper Treatment of Tokenization in Psycholinguistics
Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi +3
Language models are widely used in computational psycholinguistics to test theories that relate the negative log probability (the surprisal) of a region of interest (a substring of…
The Foundations of Tokenization: Statistical and Computational Concerns
Juan Luis Gastaldi, John Terilla, Luca Malagutti +3
Tokenization - the practice of converting strings of characters from an alphabet into sequences of tokens over a vocabulary - is a critical step in the NLP pipeline. The use of tok…
The Role of -gram Smoothing in the Age of Neural Networks
Luca Malagutti, Andrius Buinovskij, Anej Svete +3
For nearly three decades, language models derived from the -gram assumption held the state of the art on the task. The key to their success lay in the application of various smo…
On the Efficacy of Sampling Adapters
Clara Meister, Tiago Pimentel, Luca Malagutti +2
Sampling is a common strategy for generating text from probabilistic models, yet standard ancestral sampling often results in text that is incoherent or ungrammatical. To alleviate…
A Computed Tomography Vertebral Segmentation Dataset with Anatomical Variations and Multi-Vendor Scanner Data
Hans Liebl, David Schinz, Anjany Sekuboyina +13
With the advent of deep learning algorithms, fully automated radiological image analysis is within reach. In spine imaging, several atlas- and shape-based as well as deep learning…