12 citations · 18 across the 2 of their papers we have counts for
3 papers
cs.SE2021★ 6 cited
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists
Filippo Lanubile, Fabio Calefato, Luigi Quaranta +3
The transition from AI/ML models to production-ready AI-based systems is a challenge for both data scientists and software engineers. In this paper, we report the results of a work…
cs.CL2013★ 12 cited
ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
Michele Filannino, Gavin Brown, Goran Nenadic
This paper describes a temporal expression identification and normalization system, ManTIME, developed for the TempEval-3 challenge. The identification phase combines the use of co…
cs.CL2012
Temporal expression normalisation in natural language texts
Michele Filannino
Automatic annotation of temporal expressions is a research challenge of great interest in the field of information extraction. In this report, I describe a novel rule-based archite…