Abstract
Some information retrieval systems may provide fragmented or surface-level answers for complex queries that can benefit from reasoning beyond simple keyword matching. This describes systems and methods for a multi-phase knowledge processing pipeline. The pipeline can operate in discrete stages: a strategy phase may deconstruct a user’s query to generate a research plan, a research phase may gather and synthesize source-grounded evidence into a structured dossier, and a consolidation phase can compose a final narrative answer from the dossier’s contents. This modular architecture can separate query planning, evidence gathering, and presentation. The process can transform a complex user need into a structured and source-supported synthesis of information which may help address a user's underlying informational goal, for example, comparison or causal analysis.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Grabaskas, Nathaniel; Zombori, Levi; Pusey, Megan; Bausor, Michael; and Roche, Liam, "A Multi-Phase Pipeline for Query Deconstruction, Evidence Gathering, and Narrative Composition", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10339