Decomposing Complex Questions Makes Multi-Hop QA Easier and More
Interpretable

Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable

26 October 2021

Papers citing "Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable"

10 / 10 papers shown

Title
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 185 6,420 0 26 Sep 2019
Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction Kosuke Nishida Kyosuke Nishida Masaaki Nagata Atsushi Otsuka Itsumi Saito Hisako Asano J. Tomita RALM 29 102 0 21 May 2019
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs Ming Tu Guangtao Wang Jing-ling Huang Yun Tang Xiaodong He Bowen Zhou 33 149 0 17 May 2019
Cognitive Graph for Multi-Hop Reading Comprehension at Scale Ming Ding Chang Zhou Qibin Chen Hongxia Yang Jie Tang 36 225 0 14 May 2019
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks Linfeng Song Zhiguo Wang Mo Yu Yue Zhang Radu Florian D. Gildea GNN 31 108 0 06 Sep 2018
Question Answering by Reasoning Across Documents with Graph Convolutional Networks Nicola De Cao Wilker Aziz Ivan Titov BDL RALM GNN 42 224 0 29 Aug 2018
Know What You Don't Know: Unanswerable Questions for SQuAD Pranav Rajpurkar Robin Jia Percy Liang RALM ELM 108 2,818 0 11 Jun 2018
Constructing Datasets for Multi-hop Reading Comprehension Across Documents Johannes Welbl Pontus Stenetorp Sebastian Riedel SyDa RALM 64 508 0 17 Oct 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 50 8,067 0 16 Jun 2016
Pointer Networks Oriol Vinyals Meire Fortunato Navdeep Jaitly 55 3,036 0 09 Jun 2015