Papers by James Fiacco

2 papers
Deep Neural Model Inspection and Comparison via Functional Neuron Pathways (P19-1)

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Challenge: a general method for the interpretation and comparison of neural models is proposed . we factor a complex neural model into its functional components .
Approach: They propose a method that factored a complex neural model into its functional components . they use correlated task level and linguistic heuristics to identify correlated pathways .
Outcome: The proposed method can be applied in a purely post-processing manner to understand neural models.
Evaluating the Impact of a Hierarchical Discourse Representation on Entity Coreference Resolution Performance (2021.naacl-main)

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Challenge: Recent work on entity coreference resolution (CR) follows current trends in Deep Learning . traditional approaches do not make use of hierarchical representations of discourse structure .
Approach: They propose to leverage automatically constructed discourse parse trees within a neural approach to generate anaphoric mentions.
Outcome: The proposed model improves on two benchmark entity coreference-resolution datasets.

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