Log anomaly detection is crucial for computer systems. By analyzing and processing the logs generated by a system, abnormal events or potential problems in system can be identified, which helpful its stability reliability. At present, due to expansion of scale complexity software systems, amount log data grows enormously, traditional methods have been unable detect anomalies time. Therefore, it...

The work described here builds on [1], where we presented a categorisation of norms or provisions in legislation. We claimed that the categories are characterized by the use of typical sentence structures and that this would enable automatic detection and classification. In this paper we present the results of experiments in such automatic classification of provisions. We have defined fourteen ...

In Malaysia, various efforts have been made by the government and language researchers in improving student’s ability of mastering Malay language (BM) due to their poor ability in grammar and sentence structure. In terms of technology, to date, there is no computer software or a prototype that is available that can help students in learning the BM sentence structure. Thus, BMTutor is introduced...

arabic language is in strong relation with jurisprudence in irans university because the lag number of its refrence written by arabic. there many tasks that is in relation with and erstanding this language important tasks are: necessity of attention to the sentence structure in the jurisprudence text and its task for example :relation within two important part of the structure (relation within ...

We developed a new sentence extraction framework, the Sliding Window Framework, by using coherent structure among the sentences. Coherent structure means that the sentences that relate to a certain topic in an article are written in clusters to preserve the logical organization. To use the structure, our method makes blocks that consist of sentences in a window of a certain size, then estimates...

There are two main categories of multi-document summarization: term-based and ontology-based methods. A term-based method cannot deal with the problems of polysemy and synonymy. An ontology-based approach addresses such problems by taking into account of the semantic information of document content, but the construction of ontology requires lots of manpower. To overcome these open problems, thi...