Automatic Knowledge Acquisition and Integration Technique: Application to Large Scale Taxonomy Extraction and Document Annotation

2008 ◽  
pp. 160-172
Author(s):  
Vít Nováček
Keyword(s):  
Knowledge Acquisition ◽  
Large Scale ◽  
Integration Technique ◽  
Automatic Knowledge Acquisition ◽  
Document Annotation

Predicting Lexical Answer Types in Open Domain QA

2012 ◽  
Vol 8 (3) ◽  
pp. 74-88 ◽  
Author(s):  
Alfio Massimiliano Gliozzo ◽  
Aditya Kalyanpur
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Large Scale ◽  
Question Answering ◽  
General Purpose ◽  
Open Domain ◽  
Lexical Knowledge ◽  
Research Challenge ◽  
Lexical Knowledge Base

Automatic open-domain Question Answering has been a long standing research challenge in the AI community. IBM Research undertook this challenge with the design of the DeepQA architecture and the implementation of Watson. This paper addresses a specific subtask of Deep QA, consisting of predicting the Lexical Answer Type (LAT) of a question. Our approach is completely unsupervised and is based on PRISMATIC, a large-scale lexical knowledge base automatically extracted from a Web corpus. Experiments on the Jeopardy! data shows that it is possible to correctly predict the LAT in a substantial number of questions. This approach can be used for general purpose knowledge acquisition tasks such as frame induction from text.

Study on Method of Knowledge Acquisition and its Application in the Design of Vehicle Clutch

2012 ◽  
Vol 442 ◽  
pp. 209-214
Author(s):  
Yuan Hao Xu
Keyword(s):  
Knowledge Management ◽  
Knowledge Acquisition ◽  
Knowledge Extraction ◽  
Web Pages ◽  
Selection System ◽  
Type Selection ◽  
Accurate Knowledge ◽  
Design And Manufacturing ◽  
Automatic Knowledge Acquisition ◽  
Extraction Agent

Facing a great deal of materials and data in the process of design and manufacturing of clutch product, Quick and accurate knowledge extraction from the literature resources and web pages is a key to the design of vehicle clutch. The motheds of automatic knowledge acquisition based on literature and XML pages were proposed as well as specific algorithms and processes of knowledge extraction from documents and web pages were constructed.Techniques of knowledge element extraction, agent and ontology were applied to the intelligent type selection system.Practice tells that this intelligent type selection system can better assist intelligent type selection and design of vehicle clutch and knowledge management

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