# Practical Approach to Knowledge-based Question Answering with Natural Language Understanding and Advanced Reasoning

Source: [Practical Approach to Knowledge-based Question Answering with Natural Language Understanding and Advanced Reasoning](<https://www.sota2.com/research/paper/68fa5fbf1e209131ce9ebe01>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-28T13:56:22.679Z

Authors: Wilson Wong

Published: 2007-07-24T14:30:27.000Z

## Abstract

This research hypothesized that a practical approach in the form of a solution framework known as Natural Language Understanding and Reasoning for Intelligence (NaLURI), which combines full-discourse natural language understanding, powerful representation formalism capable of exploiting ontological information and reasoning approach with advanced features, will solve the following problems without compromising practicality factors: 1) restriction on the nature of question and response, and 2) limitation to scale across domains and to real-life natural language text.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/0707.3559>)

[PDF](<https://arxiv.org/pdf/0707.3559.pdf>)