1 / 1

Answering Questions through Understanding and Analysis (AQUA) BBN Technologies

AQUA by BBN Technologies aims to provide comprehensive question answering by integrating statistical language models, knowledge sources, and formal reasoning. It develops proposition-recognition algorithms and interprets documents and questions as entities and relations. AQUA applies Cross-Document Entity Detection and Tracking (CEDT) for answering questions across sources and documents.

selina
Télécharger la présentation

Answering Questions through Understanding and Analysis (AQUA) BBN Technologies

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Answering Questions through Understanding and Analysis (AQUA)BBN Technologies Objectives • Develop comprehensive system • Use statistical language models, knowledge sources, and formal reasoning • Develop proposition-recognition algorithm • Interpretation by entity relationship • model PLAN • Interpret documents and questions as entities and relations, not merely as bags of words • Apply Cross Document Entity Detection and Tracking (CEDT) algorithm to QA • Answers will be drawn from across documents and sources Principal Investigators:Ralph Weischedel / Scott Miller Topic Area: Total System Data Dimension: Focused (Text)

More Related