Manual corpus annotation: giving meaning to the evaluation metrics. International Conference on Computational Lingustics; 2012. 10. Pustejovsky J, Stubbs A. Natural language annotation for machine learning. Sebastopol, CA: O'Reilly Media; 2012. 11. Bird S, Klein E, Loper E. Natural language ...
In addition to error metrics,scikit-learncontains two scoring metrics which scale continuously from 0 to 1, with values of 0 being bad and 1 being perfect performance. These are the metrics that you'll use in the project at the end of the course. They have the advantage of looking similar...
After linearization, metrics for different objects will have more similar acceptability meaning than the original metrics. The proposed LinSEM method1 is depicted in Fig. 1 and is described in detail in Section 2. In this method, we first estimate (model) the actual relationship between each ...
8457 Accesses 2 Citations Metrics details Abstract This paper develops a new framework to examine the use of ‘evaluation resources’ in research discourse. In previous studies of evaluative resources, two distinct, although interwoven, types of context have been identified: 1) the real world where...
1655 Accesses 1 Altmetric Metrics details Abstract This study examined the psychometric properties of the Chinese version of the Multidimensional Competitive Orientation Inventory (Ch-MCOI) in adults from Mainland China. A total of 1121 participants (50.6% male; M = 28.86, SD = 8.70) ...
Evaluation metrics. Algorithms were evaluated in two scenarios: (i) protein centric and (ii) term centric. These two types of evaluations were chosen to address the following related questions: (i) what is the function of a particular protein? and (ii) what are the proteins associated with ...
The stacking model outperformed other individual machine learning models across all evaluation metrics. It is important to note that the hyperparameters of these models play a crucial role in determining their performance, leading to potential variations in results among different users. However, this ...
we describe also the construction and annotation process of the datasets. We also shortly describe the evaluation metrics most frequently used for intrinsic evaluation. As for the extrinsic side, several applications involving semantic relatedness measures are detailed through recent research works and by...
47k Accesses 85 Altmetric Metrics details Abstract Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of ...
The visual attention to built colonial heritage is correlated with fixation metrics and average pupil diameter. The longer the participants gaze on the unique elements, the higher the visual attention. 3. The visual attention to built colonial heritage is correlated with the subjective evaluation indic...