Abstract
Nowadays, natural language interfaces (NLIs) show strong demands on various smart devices from wearable devices, cell phones, televisions, to vehicles. Domain adaptation becomes one of the major challenging issues to support the applications on different domains. In this paper, we propose a framework of domain-adaptable NLIs to integrate linguistic knowledge and world knowledge. Given a knowledge base of a target domain and the function definition of a target smart device, the corresponding NLI system is developed under the framework. In the experiments, we demonstrate a Chinese NLI system for a video on demand (VOD) service.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Singhal, A.: Introducing the Knowledge Graph: things, not strings. Official Google Blog (May 2012), http://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html
Huang, H.H., Chen, H.Y., Yu, C.S., Chen, H.H., Lee, P.C., Chen, C.H.: Sentence Rephrasing for Parsing Sentences with OOV Words. In: The 9th International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, Iceland (2014)
Zhang, Y., Clark, S.: Syntactic Processing Using the Generalized Perceptron and Beam Search. Computational Linguistics 37(1), 105–151 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Huang, HH., Yu, CS., Chen, HY., Chen, HH., Lee, PC., Chen, CH. (2014). Integrating Linguistic and World Knowledge for Domain-Adaptable Natural Language Interfaces. In: Métais, E., Roche, M., Teisseire, M. (eds) Natural Language Processing and Information Systems. NLDB 2014. Lecture Notes in Computer Science, vol 8455. Springer, Cham. https://doi.org/10.1007/978-3-319-07983-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-07983-7_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07982-0
Online ISBN: 978-3-319-07983-7
eBook Packages: Computer ScienceComputer Science (R0)