In this paper, we study the design of domain lexicons and address the problems of lexical knowledge representation and linking between different knowledge sources. A domain lexicon contains substantial domain specific vocabularies with associated phonological, morphological, syntactic and semantic/pragmatic information as well as links to general knowledge bases which are neh enough to support knowledge-intensive models for practical NLP systems. We take financial domain as an example to illustrate the representation structures for syntactic and semantic knowledge. In order to suit for both maximal reusability and deep analysis, our domain lexicon is designed with uniform knowledge representation and fine-grain feature encoding. We also address the issues of how to bridge the gaps between coarse-grain general lexicons and fine-grain domain lexicons
CITATION STYLE
Chen, K. J., You, J. M., Kao, D. H., & Wu, C. H. (2003). Design of lexical database for financial domain. In NLP-KE 2003 - 2003 International Conference on Natural Language Processing and Knowledge Engineering, Proceedings (pp. 784–789). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NLPKE.2003.1276011
Mendeley helps you to discover research relevant for your work.