Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
EMNLP/IJCNLP (1), pp. 4184-4194, 2019.
Query-based open-domain NLP tasks require information synthesis from long and diverse web results. Current approaches extractively select portions of web text as input to Sequence-to-Sequence models using methods such as TF-IDF ranking. We propose constructing a local graph structured knowledge base for each query, which compresses the ...More
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