activity
20202024
most citedSkillNER: Mining and Mapping Soft Skills from any Text

74 citations · 118 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 4 cited

Automating Customer Needs Analysis: A Comparative Study of Large Language Models in the Travel Industry

Simone Barandoni, Filippo Chiarello, Lorenzo Cascone +2

In the rapidly evolving landscape of Natural Language Processing (NLP), Large Language Models (LLMs) have emerged as powerful tools for many tasks, such as extracting valuable insi…

cs.IR2021★ 2 cited

Defining definition: a Text mining Approach to Define Innovative Technological Fields

Vito Giordano, Filippo Chiarello, Elena Cervelli

One of the first task of an innovative project is delineating the scope of the project itself or of the product/service to be developed. A wrong scope definition can determine (in…

cs.IR2021★ 16 cited

Rapid detection of fast innovation under the pressure of COVID-19

Nicola Melluso, Andrea Bonaccorsi, Filippo Chiarello +1

Covid-19 has rapidly redefined the agenda of technological research and development both for academics and practitioners. If the medical scientific publication system has promptly…

cs.CL2021★ 74 cited

SkillNER: Mining and Mapping Soft Skills from any Text

Silvia Fareri, Nicola Melluso, Filippo Chiarello +1

In today's digital world, there is an increasing focus on soft skills. On the one hand, they facilitate innovation at companies, but on the other, they are unlikely to be automated…

cs.CY2020★ 22 cited

Lights and shadows of COVID-19, Technology and Industry 4.0

Nicola Melluso, Silvia Fareri, Gualtiero Fantoni +6

Scientific discoveries and technologies played a significant role in the digital revolution that occurred over the last years. But what is their role in the turmoil brought by the…