We participated in the SemEval-2007 coarse-grained English all-words task and fine-grained English all-words task. We used a supervised learning approach with SVM as the learning algorithm. The knowledge sources used include local collocations, parts-of-speech, and surrounding words. We gathered training examples from English-Chinese parallel corpora, SEMCOR, and DSO corpus. While the fine-grai...

Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER are restricted to produce labels from small set entity classes, e.g., person, organization, location or miscellaneous. In order intelligently understand text extract wide range information, it useful more precisely determine the semantic class...

Nowadays, equal channel angular pressing, known as the ECAP process, is one of the most popular methods for manufacturing ultra-fine grained (UFG) materials. In this paper, Ecap process has been carried out on pure copper and 6012 aluminum alloy up to six passes by route . Principal attention was paid to the influence of parameters such as diameter, material, and the height of billet on mechani...

Current crowd counting algorithms are only concerned about the number of people in an image, which lacks low-level fine-grained information crowd. For many practical applications, total image is not as useful each sub-category. example, knowing waiting inline or browsing can help retail stores; standing/sitting restaurants/cafeterias; violent/non-violent police management. In this article, we p...

one and two dimensional contaminant transport by pure diffusion through single layer of fine grained soil was investigated using one and two dimensional laboratory models. these models simulates a simple hydrogeologic situation underneath a solid waste landfill comprising a fine grained soil overlying a bed rock. sodium chloride solution was sued as a contaminant source above a compacted clayey...