Research on Personal Education Background Extraction Using Rules
نویسندگان
چکیده
منابع مشابه
A Study on Personal Attributes Extraction Based on the Combination of Sentences Classifications and Rules
Personal attributes extraction plays a significant role in information mining, event tracing and personal name disambiguation. It mainly involves two problems, attribute recognition and decision making on whether this attribute belongs to the extracted person. Personal attributes generally involve named entities, which are recognized mainly by adjusting word segmentation software. As for those ...
متن کاملPersonal Attributes Extraction Based on the Combination of Trigger Words, Dictionary and Rules
Personal Attributes Extraction in Unstructured Chinese Text Task is a subtask of The 3rd CIPS-SIGHAN Joint Conference on Chinese Language Processing (CLP-2014). In this report, we propose a method based on the combination of trigger words, dictionary and rules to realize the personal attributes extraction. We introduce the extraction process and show the result of this bakeoff, which can show t...
متن کاملRules Extraction in XML Using Correlation
As the amount of digital information on the internet grows it is more and more critical to retrieve information from semistructured documents. Also the data returned as answers to queries may not give interpretable knowledge. Therefore the concept of association rule mining is introduced in XML datastructure. Even if it is effective occasionally it give unexpected results. This paper propose a ...
متن کاملRefining Information Extraction Rules using Data Provenance
Developing high-quality information extraction (IE) rules, or extractors, is an iterative and primarily manual process, extremely time consuming, and error prone. In each iteration, the outputs of the extractor are examined, and the erroneous ones are used to drive the refinement of the extractor in the next iteration. Data provenance explains the origins of an output data, and how it has been ...
متن کاملOpinion Feature Extraction Using Class Sequential Rules
The paper studies the problem of analyzing user comments and reviews of products sold online. Analyzing such reviews and producing a summary of them is very useful to both potential customers and product manufacturers. By analyzing reviews, we mean to extract features of products (also called opinion features) that have been commented by reviewers and determine whether the opinions are positive...
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ژورنال
عنوان ژورنال: International Journal of Emerging Technologies in Learning (iJET)
سال: 2013
ISSN: 1863-0383
DOI: 10.3991/ijet.v8i5.3029