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COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering

COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering

Farhad Moghimifar
Zhuang Li
Terry Yue Zhuo
Mahsa Baktashmotlagh
Gholamreza Haffari
    LRM
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Papers citing "COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering"

2 / 2 papers shown
Title
A Semantic-based Method for Unsupervised Commonsense Question Answering
A Semantic-based Method for Unsupervised Commonsense Question Answering
Yilin Niu
Fei Huang
Jiaming Liang
Wenkai Chen
Xiaoyan Zhu
Minlie Huang
LRM
84
13
0
31 May 2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Farhad Moghimifar
Zhuang Li
Terry Yue Zhuo
Gholamreza Haffari
Mahsa Baktashmotlagh
ReLMNAILRM
64
11
0
14 May 2021

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