The presentation will mainly cover (1) What is HowNet? HowNet is an on-line common-sense knowledgebase unveiling inter-conceptual relationships and inter-attribute 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 demon-stration of some methodology or algo-rithm, but are real application tools that can be tested by users themselves. Apar
A long time passed from the first word said by Homo sapiens to the first word said by a machine. The...
In this thesis, we try to solve the problem of word sense disambiguation (WSD) in natural language p...
On the traditional World Wide Web we all know and love, machines are used as brokers of content: the...
This thesis details the creation of ASKNet (Automated Semantic Knowledge Network), a system for crea...
In order to train machines to ‘understand ’ natural language, we proposed a universal concept repres...
In order to train machines to ‘understand ’ natural language, we propose a meaning representation me...
Machine learning about language can be improved by supplying it with specific knowledge and sources ...
In this paper, we propose a method for domain unconstrained language understanding based on the How-...
Knowledge representation is an emerging field of research in Artificial Intelligence, Big data analy...
Because meaningful sentences are composed of meaningful words, any system that hopes to process natu...
Abstract. This paper describes a universal concept representational mechanism called E-HowNet, to ha...
So far Natural Language Processing (NLP) re-search patronized much of manually aug-mented lexicon re...
The world is changing. The World Wide Web is changing. It started out as a set of purely notational ...
recent material and references have been added. A semantic network or net is a graph structure for r...
SemanticNet is a semantic network of lexicons to hold human pragmatic knowledge. So far Natural Lang...
A long time passed from the first word said by Homo sapiens to the first word said by a machine. The...
In this thesis, we try to solve the problem of word sense disambiguation (WSD) in natural language p...
On the traditional World Wide Web we all know and love, machines are used as brokers of content: the...
This thesis details the creation of ASKNet (Automated Semantic Knowledge Network), a system for crea...
In order to train machines to ‘understand ’ natural language, we proposed a universal concept repres...
In order to train machines to ‘understand ’ natural language, we propose a meaning representation me...
Machine learning about language can be improved by supplying it with specific knowledge and sources ...
In this paper, we propose a method for domain unconstrained language understanding based on the How-...
Knowledge representation is an emerging field of research in Artificial Intelligence, Big data analy...
Because meaningful sentences are composed of meaningful words, any system that hopes to process natu...
Abstract. This paper describes a universal concept representational mechanism called E-HowNet, to ha...
So far Natural Language Processing (NLP) re-search patronized much of manually aug-mented lexicon re...
The world is changing. The World Wide Web is changing. It started out as a set of purely notational ...
recent material and references have been added. A semantic network or net is a graph structure for r...
SemanticNet is a semantic network of lexicons to hold human pragmatic knowledge. So far Natural Lang...
A long time passed from the first word said by Homo sapiens to the first word said by a machine. The...
In this thesis, we try to solve the problem of word sense disambiguation (WSD) in natural language p...
On the traditional World Wide Web we all know and love, machines are used as brokers of content: the...