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Rapport stage Master-TFE
Rapport stage Master-TFE
An internship report.
A. Sekely Dago
Code Reviews
Code Reviews
Going over guidelines for successful code reviews
Osher De Paz
Wardrobe scent bags - sewing pattern
Wardrobe scent bags - sewing pattern
This is a free sewing pattern for making scented bags for your wardrobe.
The Sewing Resolution
TFG
TFG
Problema de ruta de vehículos con capacidades también conocido como Vehicle Routing Problem (VRP), es uno de los problemas más difíciles y demandados de la sociedad actual. Empresas de mensajería, entrega de productos y ventas online resuelven dicho problema a diario.
Algunos algoritmos heurísticos para el Problema de Rutas de Vehículos con Capacidades
Joshua Taylor Eppinette's Resume
Joshua Taylor Eppinette's Resume
Joshua Taylor Eppinette's Resume https://jteppinette.com
Joshua Taylor Eppinette
Devansh Soni's CV
Devansh Soni's CV
Devansh Soni's CV
Devansh Soni
The Logarithmic Method of Ranking Stocks
The Logarithmic Method of Ranking Stocks
A ranking system for tech stocks and bank stocks of S&P 500 companies
Albert Liang
Shaila Ang's CV
Shaila Ang's CV
Shaila Ang's CV Created with the CV for Freshers template.
Shaila
Survey on Bi-LSTM CNNs CRF for Italian Sequence Labeling and Multi-Task Learning
Survey on Bi-LSTM CNNs CRF for Italian Sequence Labeling and Multi-Task Learning
In the last few years the resolution of NLP tasks with architectures composed of neural models has taken vogue. There are many advantages to using these approaches especially because there is no need to do features engineering. In this paper, we make a survey of a Deep Learning architecture that propose a resolutive approach to some classical tasks of the NLP. The Deep Learning architecture is based on a cutting-edge model that exploits both word-level and character-level representations through the combination of bidirectional LSTM, CNN and CRF. This architecture has provided cutting-edge performance in several sequential labeling activities for the English language. The architecture that will be treated uses the same approach for the Italian language. The same guideline is extended to perform a multi-task learning involving PoS labeling and sentiment analysis. The results show that the system performs well and achieves good results in all activities. In some cases it exceeds the best systems previously developed for Italian.
leo.ranaldi