Open AccessSeq-to-NSeq model for multi-summary generation
Author(s) -
Guillaume Le Berre,
Christophe Cerisara
Publication year - 2020
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - Uncategorized
Resource type - Conference proceedings
Subject(s) - computer science , automatic summarization , generative grammar , sentence , focus (optics) , generative model , natural language processing , artificial intelligence , sequence (biology) , style (visual arts) , code (set theory) , speech recognition , programming language , history , physics , archaeology , set (abstract data type) , biology , optics , genetics