16 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 16 cited
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering
Priyanka Sen, Alham Fikri Aji, Amir Saffari
We introduce Mintaka, a complex, natural, and multilingual dataset designed for experimenting with end-to-end question-answering models. Mintaka is composed of 20,000 question-answ…
cs.CL2021
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs
Armin Oliya, Amir Saffari, Priyanka Sen +1
Recently, end-to-end (E2E) trained models for question answering over knowledge graphs (KGQA) have delivered promising results using only a weakly supervised dataset. However, thes…
cs.CL2021
Expanding End-to-End Question Answering on Differentiable Knowledge Graphs with Intersection
Priyanka Sen, Amir Saffari, Armin Oliya
End-to-end question answering using a differentiable knowledge graph is a promising technique that requires only weak supervision, produces interpretable results, and is fully diff…