no code implementations • LREC 2022 • Kelvin Han, Thiago castro Ferreira, Claire Gardent
Question generation from knowledge bases (or knowledge base question generation, KBQG) is the task of generating questions from structured database information, typically in the form of triples representing facts.
no code implementations • JEPTALNRECITAL 2020 • Kelvin Han, Phyllicia Leavitt, Srilakshmi Balard
Our work on the automatic detection of English discourse connectives in the Penn Discourse Treebank (PDTB) shows that syntactic information from the Universal Dependencies (UD) framework is a viable alternative to that from the Penn Treebank (PTB) framework.
no code implementations • 17 Apr 2020 • Lea Dieudonat, Kelvin Han, Phyllicia Leavitt, Esteban Marquer
``Classical'' word embeddings, such as Word2Vec, have been shown to capture the semantics of words based on their distributional properties.