Problem Description
نویسندگان
چکیده
MetLife processes over 300,000 life insurance applications a year. Underwriting of these applications is labor intensive. Automation is difficult since they include many freeform text fields. MITA, MetLife’s Intelligent Text Analyzer, uses the Information Extraction --IE-technique of Natural Language Processing to structure the extensive text fields on a life insurance application. Knowledge engineering, with the help of underwriters as domain experts, was performed to elicit significant concepts for both medical and occupational text fields. A corpus of 20,000 life insurance applications provided the syntactical and semantic patterns in which these underwriting concepts occur. The extracted information can then be analyzed by conventional knowledge based systems. We project that MlTA and knowledge based analyzers will increase underwriting productivity by 20 to 30%.
منابع مشابه
Solving the inverse problem of determining an unknown control parameter in a semilinear parabolic equation
The inverse problem of identifying an unknown source control param- eter in a semilinear parabolic equation under an integral overdetermina- tion condition is considered. The series pattern solution of the proposed problem is obtained by using the weighted homotopy analysis method (WHAM). A description of the method for solving the problem and nding the unknown parameter is derived. Finally, tw...
متن کاملMathematical description and prognosis of synergistic interaction of radon and tobacco smoking
Background: Radon and its short-lived decay products are considered as the important sources of public exposure to natural radioactivity. The synergistic interaction between tobacco smoking and radon is known to be an actual problem. This study has provided a mathematical description and prognosis of the carcinogenic effects after combined action of radon with smoking. Materials and Me...
متن کاملSome Duality Results in Grey Linear Programming Problem
Different approaches are presented to address the uncertainty of data and appropriate description of uncertain parameters of linear programming models. One of them is to use the grey systems theory in modeling such problem. Especially, recently, grey linear programming has attracted many researchers. In this paper, a kind of linear programming with grey coefficients is discussed. Introducing th...
متن کاملLinguistic Means of Description of Family Relations in the Novel “In Chancery” By J. Galsworthy
The article is devoted to the study of the evaluative component of the meaning of lexical means used to describe relations between family members in the novel “In Chancery” by J. Galsworthy. The relevance of t &he study can be attributed to the lack of works devoted to this problem. As the results of our study demonstrate, the words of the lexical-semantic group “family” were mainly used to ver...
متن کاملISOGEOMETRIC STRUCTURAL SHAPE OPTIMIZATION USING PARTICLE SWARM ALGORITHM
One primary problem in shape optimization of structures is making a robust link between design model (geometric description) and analysis model. This paper investigates the potential of Isogeometric Analysis (IGA) for solving this problem. The generic framework of shape optimization of structures is presented based on Isogeometric analysis. By discretization of domain via NURBS functions, the a...
متن کاملA critical study on the relationship between boys and girls in universities
The relationship between boys and girls in university is regarded as a new and sensitive interdisciplinary problem. This paper, giving a description of the university climate in our country by a field study method and measuring the views and religious beliefs of the students, has studied the problem. As is understood by the study, there has been a considerable point of view among students with ...
متن کامل