基於已知名稱搜尋結果的網路實體辨識模型建立工具(A Tool for Web NER Model Generation Using Search Snippets of Known Entities) [In Chinese]
黃雅筠 Ya-Yun Huang 國立中央大學資訊工程學系 Department of Computer Science and Information Engineering National Central University a2425320032002@gmail.com 張嘉惠 Chia-Hui Chang 國立中央大學資訊工程學系 Department of Computer Science and Information Engineering National Central University chia@csie.ncu.edu.tw 周建龍 Chia-Hui Chang 國立中央大學資訊工程學系 Department of Computer Science and Information Engineering National Central University formatc.chou@gmail.com
Automatic Recognition of Chinese Organization Name Based on Conditional Random Fields
Person, location and organization have been always mentioned as a bottleneck of a named entity recognition (NER) system. Automatic recognition of Chinese organization name is the most difficult problem in NER tasks. This paper presents a new approach of Chinese organization name recognition based on cascaded conditional random fields. In the proposed approach, we first recognize the person name and location name before recognizing organization. The model structure has been designed with the cascade way, the result then is passed to the high model and suppose the decision of high model for recognition of the complicated organization names. And we proposed the new feature to realize this task. We evaluate our approach on large-scale corpus with open test method using People's Daily (January. 1998). Chinese ORG recalling rate achieves 88.78% and the precision rate is 82.35%. The evaluation results show that our approach based on cascaded conditional random fields significantly outperforms previous approaches.
Influence of filler addition, storage medium and evaluation time on biaxial flexure strength and modulus of adhesive systems
Abstract Objective. This study evaluated the effects of filler addition, storage medium and time on biaxial flexural strength and flexural modulus of six adhesive systems. Materials and methods. The adhesives were either unfilled resins: Single Bond, Prime&Bond 2.1 and One-Step; or filled resins: Single Bond Plus, Prime&Bond NT and One-Step Plus. Resin discs of each product (0.5 mm thick × 6.0 mm diameter) were prepared using silicon molds (n = 10). The discs were stored dry, in water, mineral oil or ethanol for 1 week or 3 months before biaxial flexural testing. Data were statistically analyzed by 3-way ANOVA and Tukey's post-hoc test (α = 0.05). The specimens were tested in a universal testing machine at 1.27 mm/min until failure occurred. Results. In general, the storage in ethanol led to significantly lower flexural strength and flexural modulus values than the other storage conditions for all adhesives in both storage periods. Filler addition increased flexural strength and flexural modulus for Prime&Bond NT, when it was stored dry or in water for 1 week. For Single Bond Plus, the filler addition resulted in higher flexural modulus, when it was stored for 1 week in oil and in ethanol. No significant differences in flexural modulus were observed between One-Step and One-Step Plus in any storage medium. Conclusions. Results suggested that filler addition does not necessarily have to increase the flexural strength and flexural modulus. Ethanol and oil storages tended to yield opposite effects.