Papers by Gautam Kunapuli

1 papers
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection (2022.emnlp-main)

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Challenge: Documentlevel NLI is an important problem for many tasks including verification of factual correctness of documents.
Approach: They propose a document-level natural language inference model that builds a hierarchical document graph enriched through inter-sentence relations and performs paragraph pruning using the novel SubGraph Pooling layer.
Outcome: The proposed model performs on a legal judicial reasoning task with a dataset enriched with document graphs and a proposed evidence selection algorithm.

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