Papers by Federico Pirovano

1 papers
Multilingual Language Models Predict Human Reading Behavior (2021.naacl-main)

Copied to clipboard

Challenge: Recent studies show that cognitively motivated "attention" mechanism in neural models is not a good indicator for relative importance.
Approach: They compare the performance of language-specific and multilingual pretrained transformer models to predict reading time measures reflecting natural human sentence processing.
Outcome: The proposed models predict reading time measures on Dutch, English, German, and Russian texts.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations