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Using Knowledge Graphs and LLMs to Enhance Natural Language Understanding on Voice Assistants
by
Ashlesha Vishnu Kadam
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 27 |
| Year of Publication: 2023 |
| Authors: Ashlesha Vishnu Kadam |
10.5120/ijca2023923019
|
Ashlesha Vishnu Kadam . Using Knowledge Graphs and LLMs to Enhance Natural Language Understanding on Voice Assistants. International Journal of Computer Applications. 185, 27 ( Aug 2023), 20-24. DOI=10.5120/ijca2023923019
@article{
10.5120/ijca2023923019,
author = {
Ashlesha Vishnu Kadam
},
title = { Using Knowledge Graphs and LLMs to Enhance Natural Language Understanding on Voice Assistants },
journal = {
International Journal of Computer Applications
},
issue_date = { Aug 2023 },
volume = { 185 },
number = { 27 },
month = { Aug },
year = { 2023 },
issn = { 0975-8887 },
pages = {
20-24
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume185/number27/32860-2023923019/
},
doi = { 10.5120/ijca2023923019 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:11.445562+05:30
%A Ashlesha Vishnu Kadam
%T Using Knowledge Graphs and LLMs to Enhance Natural Language Understanding on Voice Assistants
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 27
%P 20-24
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Both, Large Language Models (LLMs) and Knowledge Graphs (KGs) are used in various Natural Language Understanding (NLU) tasks. However, each has some benefits and disadvantages. This paper explores the pros and cons of each, and demonstrates how the two used together can help overcome some of the shortcomings. It also identifies specific applications of KG-enhanced LLMs for music-related user experiences on voice assistants. Finally, it enlists the challenges in KG-enhanced LLM applications.
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Index Terms
Computer Science
Information Sciences
Keywords