IJCAI 2020poster0 citations
A Speech-to-Knowledge-Graph Construction System
Xiaoyi Fu, Jie Zhang, Hao Yu, Jiachen Li, Dong Chen, Jie Yuan, Xindong Wu
Abstract
This paper presents a HAO-Graph system that generates and visualizes knowledge graphs from a speech in real-time. When a user speaks to the system, HAO-Graph transforms the voice into knowledge graphs with key phrases from the original speech as nodes and edges. Different from language-to-language systems, such as Chinese-to-English and English-to-English, HAO-Graph converts a speech into graphs, and is the first of its kind. The effectiveness of our HAO-Graph system is verified by a two-hour chairman's talk in front of two thousand participants at an annual meeting in the form of a satisfaction survey.
Natural Language Processing: generalHuman-Computer Interactive Systems: generalKnowledge Representation and Reasoning: generalSpeech Processing: general
BibTeX
@inproceedings{ijcai2020p777,
title = {A Speech-to-Knowledge-Graph Construction System},
author = {Fu, Xiaoyi and Zhang, Jie and Yu, Hao and Li, Jiachen and Chen, Dong and Yuan, Jie and Wu, Xindong},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-20}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Christian Bessiere},
pages = {5303--5305},
year = {2020},
month = {7},
note = {Demos},
doi = {10.24963/ijcai.2020/777},
url = {https://doi.org/10.24963/ijcai.2020/777},
}