Work

Intent Classification in Question-Answering Using LSTM Architectures

Year: 2020

Type: book-chapter

Source: Smart innovation, systems and technologies

DOI: 10.1007/978-981-15-5093-5_11

Authors: Giovanni Di Gennaro, Amedeo Buonanno, Antonio Di Girolamo, Armando Ospedale, Francesco A. N. Palmieri

Institutions: University of Campania "Luigi Vanvitelli", National Agency for New Technologies, Energy and Sustainable Economic Development, ENEA Portici Research Centre

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3002388925

FWCI: 6.159

Cites: 7

Cited by: 23

Related to: