1 code implementation • EMNLP 2021 • Pierre L. Dognin, Inkit Padhi, Igor Melnyk, Payel Das
Automatic construction of relevant Knowledge Bases (KBs) from text, and generation of semantically meaningful text from KBs are both long-standing goals in Machine Learning.
Ranked #1 on Joint Entity and Relation Extraction on TekGen
no code implementations • EMNLP 2020 • Pierre L. Dognin, Igor Melnyk, Inkit Padhi, Cicero Nogueira dos santos, Payel Das
In this work, we present a dual learning approach for unsupervised text to path and path to text transfers in Commonsense Knowledge Bases (KBs).
no code implementations • 30 Apr 2018 • Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Tom Sercu
When evaluated on OOC and MS-COCO benchmarks, we show that SCST-based training has a strong performance in both semantic score and human evaluation, promising to be a valuable new approach for efficient discrete GAN training.