The presentation will mainly cover (1) What is HowNet? HowNet is an on-line common-sense knowledgebase unveiling inter-conceptual relationships and interattribute relationships of concepts as connoting in lexicons of the Chinese and their English equivalents. (2) How it functions in the computation of meaning and as a NLP platform? The presentation will show 9 HowNet-based application tools. All of them are not merely demonstration of some methodology or algorithm, but are real application tools that can be tested by users themselves. Apart from the tools that are specially designed to deal with Chinese, most of the tools are bilingual, even the WSD tool.
The presentation will mainly cover (1) What is HowNet? HowNet is an on-line common-sense knowledgebase unveiling inter-conceptual relationships and interattribute relationships of concepts as connoting in lexicons of the Chinese and their English equivalents. (2) How it functions in the computation of meaning and as a NLP platform? The presentation will show 9 HowNet-based application tools. All of them are not merely demonstration of some methodology or algorithm, but are real application tools that can be tested by users themselves. Apart from the tools that are specially designed to deal with Chinese, most of the tools are bilingual, even the WSD tool.
At present most of corpora are annotated mainly with syntactic knowledge. In this paper, we attempt to build a large corpus and annotate semantic knowledge with dependency grammar. We believe that words are the basic units of semantics, and the structure and meaning of a sentence consist mainly of a series of semantic dependencies between individual words. A 1,000,000-wordscale corpus annotated with semantic dependency has been built. Compared with syntactic knowledge, semantic knowledge is more difficult to annotate, for ambiguity problem is more serious. In the paper, the strategy to improve consistency is addressed, and congruence is defined to measure the consistency of tagged corpus.. Finally, we will compare our corpus with other well-known corpora.
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