no code implementations • WS 2018 • Isabel Groves, Ye Tian, Ioannis Douratsos
The current most popular method for automatic Natural Language Generation (NLG) evaluation is comparing generated text with human-written reference sentences using a metrics system, which has drawbacks around reliability and scalability.
no code implementations • EACL 2021 • Priyanka Sen, Isabel Groves
Speech disfluencies are prevalent in spontaneous speech.
no code implementations • 13 Oct 2022 • Andy Rosenbaum, Saleh Soltan, Wael Hamza, Amir Saffari, Marco Damonte, Isabel Groves
A bottleneck to developing Semantic Parsing (SP) models is the need for a large volume of human-labeled training data.
1 code implementation • COLING 2020 • Hamza Harkous, Isabel Groves, Amir Saffari
Our generated text has a significantly better semantic fidelity than the state of the art across all four datasets
Ranked #1 on Data-to-Text Generation on ViGGO