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In this work, we introduce a novel algorithm for solving the textbook question answering (TQA) task which describes more realistic QA problems compared to other recent tasks.
Clevr: A diagnostic dataset for compositional language and elementary visual reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C Lawrence Zitnick, and Ross Girshick. 2017 · 1997
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Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola. 2016 · 2016
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Are you smarter than a sixth grader? textbook question answering for multimodal machine comprehension
Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, and Hannaneh Hajishirzi. 2017 · 2017
Later among the works it cites.
Graph-structured representations for visual question answering
Damien Teney, Lingqiao Liu, and Anton van den Hengel. 2017 · 2017
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Dynamic graph generation network: Generating relational knowledge from diagrams
Daesik Kim, YoungJoon Yoo, Jee-Soo Kim, SangKuk Lee, and Nojun Kwak. 2018 · 2018
Closest in time.
Textbook question answering under instructor guidance with memory networks
Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, and Bo Zhang. 2018 · 2018
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Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016 · 2016
Cited alongside, same era.
Ask, attend and answer: Exploring question-guided spatial attention for visual question answering
Huijuan Xu and Kate Saenko. 2016 · 2016
Cited alongside, same era.
Multi-modal factorized bilinear pooling with co-attention learning for visual question answering
Zhou Yu, Jun Yu, Jianping Fan, and Dacheng Tao
Cited in the paper.
Will Norcliffe-Brown, Stathis Vafeias, and Sarah Parisot. 2018 · 2018
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