Textbook Question Answering Under Instructor Guidance with Memory Networks
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Jun Zhu | Hang Su | Bo Zhang | Siyu Wang | Juzheng Li | Jun Zhu | Hang Su | Bo Zhang | Juzheng Li | Siyu Wang
[1] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[2] Jonghyun Choi,et al. Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[4] Christopher D. Manning,et al. Improving Coreference Resolution by Learning Entity-Level Distributed Representations , 2016, ACL.
[5] Andrew Y. Ng,et al. Parsing with Compositional Vector Grammars , 2013, ACL.
[6] Richard Socher,et al. Dynamic Memory Networks for Visual and Textual Question Answering , 2016, ICML.
[7] Michael S. Bernstein,et al. Visual7W: Grounded Question Answering in Images , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Gunhee Kim,et al. Attend to You: Personalized Image Captioning with Context Sequence Memory Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[10] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[11] Ming Zhou,et al. Gated Self-Matching Networks for Reading Comprehension and Question Answering , 2017, ACL.
[12] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[13] James Allen,et al. Apples to Apples: Learning Semantics of Common Entities Through a Novel Comprehension Task , 2017, ACL.
[14] David A. McAllester,et al. Machine Comprehension with Syntax, Frames, and Semantics , 2015, ACL.
[15] Ali Farhadi,et al. A Diagram is Worth a Dozen Images , 2016, ECCV.
[16] Richard S. Zemel,et al. Exploring Models and Data for Image Question Answering , 2015, NIPS.
[17] Trevor Darrell,et al. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding , 2016, EMNLP.
[18] Jiasen Lu,et al. VQA: Visual Question Answering , 2015, ICCV.
[19] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[20] David Vandyke,et al. Counter-fitting Word Vectors to Linguistic Constraints , 2016, NAACL.
[21] Yash Goyal,et al. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Ali Farhadi,et al. Bidirectional Attention Flow for Machine Comprehension , 2016, ICLR.
[23] Pengtao Xie,et al. A Constituent-Centric Neural Architecture for Reading Comprehension , 2017, ACL.
[24] Christopher D. Manning,et al. Finding Contradictions in Text , 2008, ACL.
[25] Jason Weston,et al. Memory Networks , 2014, ICLR.
[26] Deng Cai,et al. MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension , 2017, ArXiv.
[27] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[28] Luyang Li,et al. Contradiction Detection with Contradiction-Specific Word Embedding , 2017, Algorithms.
[29] Alex Graves,et al. Neural Turing Machines , 2014, ArXiv.
[30] Phil Blunsom,et al. Teaching Machines to Read and Comprehend , 2015, NIPS.
[31] Wenyu Liu,et al. TextBoxes: A Fast Text Detector with a Single Deep Neural Network , 2016, AAAI.
[32] Gang Wang,et al. Episodic CAMN: Contextual Attention-Based Memory Networks with Iterative Feedback for Scene Labeling , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).