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For best results, this task should be done at room temperature.
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Table 3 Results for CEM task per chemical entity subtype.
We can observe that, despite the high effectiveness results of the baseline, the proposed method achieves comparable or better results for this task.
The results of this task are described in this paper.
The results of this task with STFFT are shown in Figure 8.
A baseline set of results for this task is given in Table 1.
It is seen that this strategy gives excellent results for this task which justifies its use for practical industrial applications.
As the first reported results on this task, our classifiers serve as initial performance benchmarks against which future VE recruitment classifiers can be compared.
The model combination also had lesser impact on the results of this task, which could be justified by the fact that only one of the occurrences of each distinct entity in a text needs to be correctly identified.
This paper presents the first results of this task focusing on the used wafer-level postprocessing technologies which are needed to achieve the 3D architecture, required for four-side tiling.
The results of this task are used in the tuning of the capture point that makes it possible to avoid the resonance swing of the flexible payload and SRM-P as a whole.
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Justyna Jupowicz-Kozak
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