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Automatic template extraction including event template has been studied intensively in recent years. Researchers study the topic in order to solve the problem of manually defining a template that is required in most information extraction systems. Several studies of event template extraction rely on the documents characteristics to discover the pattern. Although there exist some structured knowledge...
Extend relation is one of the papers' relations obtained by using the citation-context based approach where this approach can identify more varied papers relations than two other approaches i.e. content-based and citation-analysis. However, the recent research with citation-context based approach only focuses on identification of relations, and cannot give out information related to this relation...
One of Online Social Network (OSN) roles is a source of information, especially during an emergency. Twitter is an OSN service that enables users to send and read message but is limited to only 140 characters. Therefore, the tweet is written very short, not always using grammatically correct and using a lot of word variations. The use of word variations increase the likelihood of vocabulary mismatch...
One of the advantages of conversational recommender system (CRS) is its ability to guide user in expressing their needs through conversation mechanism. In many cases, customers are often unable to express their needs clearly at the beginning of the interaction. CRS guides customer (user) to clarify his needs through the mechanism of query refinement. Not all customers are familiar with the technical...
Automatic template extraction has been studied intensively in order to perform information extraction without predefined template. Several existing studies utilized the similar preprocessing techniques which are applied in Open Information Extraction (Open IE) paradigm system. We investigate the use of Open IE results to build the automatic event template extraction. In this study, we adapt the clustering...
Traffic light detection is an important system because it can alert driver on upcoming traffic light so that he/she can anticipate a head of time. In this paper we described our work on detecting traffic light color using machine learning approach. Using HSV color representation, our approach is to extract features based on an area of X×X pixels. Traffic light color model is then created by applying...
There have been some traffic light detection systems developed by researchers and most of them use camera to detect traffic light. Sometimes, those systems still detect many non-traffic light objects as traffic lights. This paper presents methods for eliminating traffic light candidate based on the traffic light candidate's position in video's frame by using machine learning algorithm. The traffic...
A citation network visualizer tool has been developed in an earlier research. The tool is able to visualize multiple data at the same coordinates. However, all of the citation network data are displayed in a full view that is limited to the cartesian coordinates system. This will make citation network be more complex when the number of citation network data to be visualized increases. A complex citation...
This paper discusses the identification of extend relation in scientific papers based on supervised machine learning. Identification of extend relations is conducted by classifying each sentence in scientific papers into extend category. Extend relation is one type of papers' relations that obtained by using the citation context based approach. Citation context is a set of words or phrases in a sentence...
This article discusses a new method in detecting the road by using corner adjacent features. Corner is a vertices obtained from every part of vehicle moving from one point to the other, which will be the basic for the road boundary calculation process. The adoption of Lukas Kanade and Melkman algorithm [13] proofs to improve system responsiveness towards the motion of moving object. It is proven that...
Conversational recommender system (CRS) has been developed to simulate conversation between a customer with a professional sales support. For most customers, specifying needs based on product functional requirements is more natural way rather than technical features, especially for high-tech products. Thus, the CRS requires a knowledge design that is able to generate interactions based on product...
Searching for a relevant paper is usually done in a tedious and an inefficient way by searching from written references. Another approach is to use citation network. A citation network is a visualization from summary of papers that show the connectivity between the papers according to certain parameters. This paper describes a new way to see the detail from available data. Our approach is a combination...
This paper discusses a new method in detecting moving objects, which is differ from most of the methods used such as Gaussian Mixture Model, and Haar-Like approach. The focus is on utilizing corner detection and line adjacent detection features through thresholding process creating black and white images to detect the corner of each object in each frame. The process divides a frame length into 4 parts,...
Wikipedia.org is an online encyclopedia which can be edited by anyone. This feature makes the article in Wikipedia rapidly increased in size and can be fixed subsequently, but also makes it prone to vandalism in the forms of invalid information, deletion, ads, or meaningless content. This paper propose a framework for detecting vandalism on English Wikipedia using machine learning technique by training...
With the exponential growth of information on the World Wide Web, there is a challenge to find for a document that contains specific information on the Internet. There are many statistical documents that are available on the Web. However, to search, recognize and take these kinds of documents need much effort and also require much time. One of the solutions that can be used to do that is a web crawler...
A question that is often arose on career management is how to choose potential employees to become chief and achieve performance target based on employees' historical data. This research attempts to answer the question and tries to determine what factors can affect an employee to become a chief and capable to achieve performance target. To address the question, this study adopts predictive modelling...
The presence of inflammatory cells complicates the process of identifying the nuclei in the early detection of cervical cancer. Inflammatory cells need to be eliminated to assist pathologists in reading Pap smear slides. The texture of Grey-Level Run-Length Matrix (GLRLM) for inflammatory cells and nuclei types are investigated. The inflammatory cells and nuclei have different texture, and it can...
Automatic detection and recognition of traffic light system is a useful real world application. In this paper, we describe our effort in building such a system. The image of scene obtained from on-vehicle camera is first segmented and converted into three binary images representing images with red, green and yellow color, respectively. Each binary image is then smoothed using Gaussian filter in order...
The purpose of this paper is to describe a new approach in road detection. This research uses two detection processes approaches: RGB histogram Filterization and Boundary Classifer, which is different from previous works on road detection. RGB Histogram Filterization processes the reading from the camera in greyscale form and afterward processes them by color segmentation. The last step for this process...
Recent development of variety and volume of information circulating in the Internet has prompted the emergence of a new paradigm in information extraction, namely the Open Information Extraction (Open IE). An evaluation of several existing Open IE systems shows a good performance on precision. However, improvement is still needed to boost the recall. A relation between entity pair in simple sentence...
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