Automatic domain knowledge extraction is one of the key problems in text processing. To construct an effective domain word relationship network is important to text mining, text clustering and text information retrieving. A segmentation algorithm based on famous Apriori algorithm is issued and then a new construction model of domain word relationship network is proposed to organize domain words occurred in the same context with human memory principle. Some experiment results show that this model can extract domain words and construct their relationships from a great deal of domain documents effectively
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
We present a graph based algorithm for automatic domain segmentation of Word-net. We pose the proble...
Most existing corpus based relation extraction techniques focus on predefined relations. In this pap...
This paper presents an artificial neural network based tool that locates an ordered set of words i...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to auto-matic domain model creation. The first step...
This paper presents an overview of automatic methods for building domain knowledge structures (domai...
Word segmentation is a necessary first step for automaticsyntactic analysis of Chinese text. Chinese...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
We present a graph based algorithm for automatic domain segmentation of Word-net. We pose the proble...
Most existing corpus based relation extraction techniques focus on predefined relations. In this pap...
This paper presents an artificial neural network based tool that locates an ordered set of words i...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to automatic domain model creation. The first step ...
This paper describes a minimally guided approach to auto-matic domain model creation. The first step...
This paper presents an overview of automatic methods for building domain knowledge structures (domai...
Word segmentation is a necessary first step for automaticsyntactic analysis of Chinese text. Chinese...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
International audienceWe propose a graph decomposition algorithm for analyzing the structure of comp...
We present a graph based algorithm for automatic domain segmentation of Word-net. We pose the proble...