Low-Cost Implementation of a Named Entity Recognition System for Voice-Activated Human-Appliance Interfaces in a Smart Home
When we develop voice-activated human-appliance interface systems in smart homes, named entity recognition (NER) is an essential tool for extracting execution targets from natural language commands. Previous studies on NER systems generally include supervised machine-learning methods that require a...
Main Authors: | Geonwoo Park, Harksoo Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-02-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | http://www.mdpi.com/2071-1050/10/2/488 |
Similar Items
-
Named-Entity Recognition Using Automatic Construction of Training Data From Social Media Messaging Apps
by: Seungwook Lee, et al.
Published: (2020-01-01) -
Improving Distantly-Supervised Named Entity Recognition for Traditional Chinese Medicine Text via a Novel Back-Labeling Approach
by: Dezheng Zhang, et al.
Published: (2020-01-01) -
Construction of Machine-Labeled Data for Improving Named Entity Recognition by Transfer Learning
by: Juae Kim, et al.
Published: (2020-01-01) -
MALAY NAMED ENTITY RECOGNITION USING RULE BASED APPROACH
by: Ulfa Nadia, et al.
Published: (2019-06-01) -
Integrated Model for Morphological Analysis and Named Entity Recognition Based on Label Attention Networks in Korean
by: Hongjin Kim, et al.
Published: (2020-05-01)