# Question Answering in a Natural Language Understanding System Based on Object-Oriented Semantics

Source: [Question Answering in a Natural Language Understanding System Based on Object-Oriented Semantics](<https://www.sota2.com/research/paper/68fa60691e209131ce9ef15c>)

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

Data updated: 2025-10-25T19:38:40.516Z

Authors: Yuriy Ostapov

Published: 2011-11-18T12:31:49.000Z

## Abstract

Algorithms of question answering in a computer system oriented on input and logical processing of text information are presented. A knowledge domain under consideration is social behavior of a person. A database of the system includes an internal representation of natural language sentences and supplemental information. The answer {\\it Yes} or {\\it No} is formed for a general question. A special question containing an interrogative word or group of interrogative words permits to find a subject, object, place, time, cause, purpose and way of action or event. Answer generation is based on identification algorithms of persons, organizations, machines, things, places, and times. Proposed algorithms of question answering can be realized in information systems closely connected with text processing (criminology, operation of business, medicine, document systems).

## 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/1111.4343>)

[PDF](<https://arxiv.org/pdf/1111.4343.pdf>)