Paper Title:
Automatic Construction of Entity Semantic Representation Model Based on Dependency Analysis
  Abstract

The entity semantic representation model (ESRM), which considers an entity as a set of attributes and corresponding values, is very useful for various applications. This paper proposes an approach for extracting new attributes and values from related unstructured documents. In our approach, the extraction process is formulated as the sequence labeling task. According to the predefined entity structure, the labeled data for training annotator are achieved automatically. The CRFs based annotator is trained to annotate the sentence which maybe contains the new attributes and values. And then, in terms of a decision process with scoring algorithm, new attributes and values are identified and fill into the predefined entity representation model. The experiments show that the proposed method improves the performance of extraction with a higher accuracy.

  Info
Periodical
Chapter
Chapter 4: Mechatronics and Information
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
1947-1951
DOI
10.4028/www.scientific.net/AMM.121-126.1947
Citation
X. M. Liu, J. Liu, F. F. Li, "Automatic Construction of Entity Semantic Representation Model Based on Dependency Analysis", Applied Mechanics and Materials, Vols. 121-126, pp. 1947-1951, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wei Pan, Rong An, Hong Ji Yang
Abstract:Proposes a new domain-knowledge independent algorithm of discretization of consecutive attributes based on decisions to amend the limitation...
3942
Authors: Zhao Hui Ren, Yuan Hao, Bang Chun Wen
Abstract:Continuous attribute discretization based on rough set is to got possibly minimum number of cuts, and at the same time it should not weaken...
132
Authors: Narisa Zhao, Yuan Li
Abstract:The study focused on online product reviews, and took the consumer multi-affective analysis as a main line. Through the establishment of the...
464
Authors: Li Lin, Gang Guo
Chapter 2: Manufacturing and Design Science
Abstract:Product concept generation and concept design are major activities for obtaining an optimal concept in new product development (NPD). A...
2160
Authors: Bing Xiang Liu, Yan Wu, Meng Shan Li
Chapter 1: Digital Manufacturing and Advanced Manufacturing
Abstract:The decision tree is a widely used classification model and inductive learning method based on examples. It is characterized by the simple...
347