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Context Classification in Dialog-Based Interaction

Abstract

A difficulty in processing of the natural language is recognizing the context of a statement. However, since this contains implicit knowledge which we unconsciously use in our formulations, it is necessary to assign the context for correct interpretation. A context in our system is managed by a service that interprets and processes input and provides feedback to the end user. In this paper, we present a solution how an end user input can be assigned to such a service. For this purpose, we score the end user inputs by the system with an ensemble of 6 different classifiers that consider semantics as well as syntax. The system learns the user’s input at run time and adapts his enunciation step by step. During the evaluation, the system was able to classified 87% of the user statements to the correct service. Far from perfect, this research might lead to fundamental changes in computer use.

BibTeX

@inproceedings{wachtel_context_2020,
author = {A. {Wachtel} and F. {Eurich} and D. {Fuchß} and W. F. {Tichy}},
booktitle = {2020 IEEE 14th International Conference on Semantic Computing (ICSC)},
title = {Context Classification in Dialog-Based Interaction},
year = {2020},
doi = {10.1109/ICSC.2020.00038}
}