Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs - Facebook Research

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 web search information and reduces redundancy.

Abstract · Copy Link · Share in Twitter · Share in Facebook ...

Lee mas