Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System

26 April 2020

Papers citing "Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System"

8 / 8 papers shown

Title
NumNet: Machine Reading Comprehension with Numerical Reasoning Qiu Ran Yankai Lin Peng Li Jie Zhou Zhiyuan Liu ReLM AIMat 55 117 0 15 Oct 2019
From 'F' to Á' on the N.Y. Regents Science Exams: An Overview of the Aristo Project Peter Clark Oren Etzioni Daniel Khashabi Tushar Khot Bhavana Dalvi ... Niket Tandon Sumithra Bhakthavatsalam Dirk Groeneveld Michal Guerquin Michael Schmitz ELM 87 99 0 04 Sep 2019
Multi-class Hierarchical Question Classification for Multiple Choice Science Exams Dongfang Xu Peter Alexander Jansen Jaycie Martin Zhengnan Xie Vikas Yadav Harish Tayyar Madabushi Oyvind Tafjord Peter Clark 48 23 0 15 Aug 2019
Meta-Learning for Low-Resource Neural Machine Translation Jiatao Gu Yong Wang Yun Chen Kyunghyun Cho Victor O.K. Li 77 343 0 25 Aug 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 230 11,566 0 15 Feb 2018
RACE: Large-scale ReAding Comprehension Dataset From Examinations Guokun Lai Qizhe Xie Hanxiao Liu Yiming Yang Eduard H. Hovy ELM 191 1,357 0 15 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 827 11,943 0 09 Mar 2017
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 105 2,331 0 20 Oct 2014