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Relation/Entity-Centric Reading Comprehension
Constructing a machine that understands human language is one of the most elusive and long-standing challenges in artificial intelligence.
Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks
Deep Recurrent Neural Network (RNN) has gained popularity in many sequence classification tasks.
Dealing with Medication Non-Adherence Expressions in Twitter
Through a semi-automatic analysis of tweets, we show that Twitter users not only express Medication Non-Adherence (MNA) in social media but also their reasons for not complying; further research is necessary to fully extract automatically and analyze this information, in order to facilitate the use of this data in epidemiological studies.
Emergent Predication Structure in Hidden State Vectors of Neural Readers
A significant number of neural architectures for reading comprehension have recently been developed and evaluated on large cloze-style datasets.
Who did What: A Large-Scale Person-Centered Cloze Dataset
We have constructed a new "Who-did-What" dataset of over 200, 000 fill-in-the-gap (cloze) multiple choice reading comprehension problems constructed from the LDC English Gigaword newswire corpus.
