Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"
Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)
Implementation of a Dynamic Coattention Network proposed by Xiong et al.(2017) for Question Answering, learning to find answers spans in a document, given a question, using the Stanford Question Answering Dataset (SQuAD2.0).
Context Awareness-Enabled Summary Attentive Reader (CAESAR)
BERT based Multiple Parallel Co-Attention Networks for Visual Question Answering
Implementation of a Dynamic Coattention Network to answer questions in the SQuAD question/answer dataset.
Machine Reading Comprehension on SQuad dataset
Multi-choice visual question answering
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