research
∙
10/07/2021
GNN is a Counter? Revisiting GNN for Question Answering
Question Answering (QA) has been a long-standing research topic in AI an...
share
research
∙
04/25/2021
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
A wide range of modern science and engineering applications are formulat...
research
∙
09/16/2020
DDRQA: Dynamic Document Reranking for Open-domain Multi-hop Question Answering
Open-domain multi-hop question answering (QA) requires to retrieve multi...
research
∙
09/16/2020
Question Directed Graph Attention Network for Numerical Reasoning over Text
Numerical reasoning over texts, such as addition, subtraction, sorting a...
research
∙
02/28/2020
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding
Recent studies on open-domain question answering have achieved prominent...
research
∙
01/29/2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Markov Logic Networks (MLNs), which elegantly combine logic rules and pr...
research
∙
06/05/2019
Can Graph Neural Networks Help Logic Reasoning?
Effectively combining logic reasoning and probabilistic inference has be...
research
∙
05/31/2018
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings
The AI2 Reasoning Challenge (ARC), a new benchmark dataset for question ...
research
∙
09/12/2017
Variational Reasoning for Question Answering with Knowledge Graph
Knowledge graph (KG) is known to be helpful for the task of question ans...
research
∙
04/05/2017
Learning Combinatorial Optimization Algorithms over Graphs
The design of good heuristics or approximation algorithms for NP-hard co...
research
∙
04/23/2014
