Paper Info
Title
The Sinica Sense Management System: Design and Implementation
Abstract
A sense-based lexical knowledgebase is a core foundation for language engineering. Two important criteria must be satisfied when constructing a knowledgebase: linguistic felicity and data cohesion. In this paper, we discuss how data cohesion of the sense information collected using the Sinica Sense Management System (SSMS) can be achieved. SSMS manages both lexical entries and word senses, and has been designed and implemented by the Chinese Wordnet Team at Academia Sinica. SSMS contains all the basic information that can be merged with the future Chinese Wordnet. In addition to senses and meaning facets, SSMS also includes the following information: POS, example sentences, corresponding English synset(s) from Princeton WordNet, and lexical semantic relations, such as synonym/antonym and hypernym/hyponym. Moreover, the overarching structure of the system is managed by using a sense serial number, and an inter-entry structure is established by means of cross-references among synsets and homographs. SSMS is not only a versatile development tool and management system for a sense-based lexical knowledgebase. It can also serve as the database backend for both Chinese Wordnet and any sense-based applications for Chinese language processing.
Year
Venue
Keywords
2005
IJCLCLP
lexical knowledgebase,chinese wordnet,lexical semantic relation,word senses
Field
DocType
Volume
Cohesion (chemistry),Chen,Computer science,Synonym,Artificial intelligence,Language engineering,Natural language processing,WordNet,Management system,Linguistics
Journal
10
Issue
Citations 
PageRank 
4
10
0.99
References 
Authors
14
6
Name
Order
Citations
PageRank
Chu-Ren Huang1600136.84
Chun-ling Chen2100.99
Cui-Xia Weng3100.99
Keh-jiann Chen4100.99
Academia Sinica5183.66
Keh-Jiann Chen6761131.86