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Toward Automatic Discourse Parsing of Student Writing Motivated by Neural Interpretation
In this paper we propose a state-of-the-art method for automated analysis of structure and flow of writing, referred to as Rhetorical Structure Theory (RST) parsing.
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance
Recent work on entity coreference resolution (CR) follows current trends in Deep Learning applied to embeddings and relatively simple task-related features.
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways
We introduce a general method for the interpretation and comparison of neural models.
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