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Named Entity Recognition (NER) is used to classify each word of a document into predefined named entity classes and is important for Natural Language Processing (NLP) tasks such as information retrieval, question answering system, machine translation etc. Mising is a Tibeto-Burman language spoken by over 500,000 Mising people who inhabit in Assam. Mising is a resource-constrained language. The corpus...
Although data mining techniques are made tremendous progress, "knowledge-poor" is still a large gap of the current data mining systems. Few researches notice the fact that useful knowledge not only is the final results of an intelligent classification, clustering or prediction algorithm, but also runs through the whole process of data mining in which much potential useful information is...
In this paper, a hybrid pattern for Chinese organization names based on Support Vector Machine(SVM) is proposed, which fuses multiple features. With consideration of the features of Chinese organization names, local features and global features are abstracted, and feature-vectors are expressed in binary, the training collection is established. From the experimental results on testing set for 1998...
Feature selection is a process to select a subset of original features. It can improve the efficiency and accuracy by removing redundant and irrelevant terms. Feature selection is commonly used in machine learning, and has been wildly applied in many fields. we propose a new feature selection method. This is an integrative hybrid method. It first uses Affinity Propagation and SVM sensitivity analysis...
This paper reports about the development of a Named Entity Recognition (NER) system for Bengali by combining the outputs of the classifiers like Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine(SVM) using a majority voting approach. The training set consists of approximately 150 K word forms and has been manually annotated with the four major NE tags such as Person name,...
The asset valuation is specialized work, and it requests the certified public valuer (CPV) to have the very strong specialized competent ability. Along with the development of the economic in China, the reform of stock system, the tax reform, and the application of fair value in new business accounting standards, the new evaluation domain develops unceasingly, and which sets the new request to the...
Port state control (PSC) inspection is the most important mechanism to ensure world marine safe. Recently, some SVM-based risk assessment systems have been presented in the world. They estimate the risk of each candidate ship based on its generic factors and history inspection factors to select high-risk one before conducting on-board PSC inspection. However, how to improve the performance of the...
An algorithm for fast shot boundary detection based on SVM (Support Vector Machine) is proposed. In this algorithm, smooth intervals inside shots are first eliminated from the original video frame sequence. During this process, a gray variance sequence is extracted and serves as the basis for the detection of smooth intervals. Then a new frame sequence named RFS (Reordered Frame Sequence) is formed...
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