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Getting Hold of Villains and other Rogues

الحصول على الأشرار وغيرها من المحتالين

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 Publication date 2021
and research's language is English
 Created by Shamra Editor




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In this paper, we introduce the first corpus specifying negative entities within sentences. We discuss indicators for their presence, namely particular verbs, but also the linguistic conditions when their prediction should be suppressed. We further show that a fine-tuned Bert-based baseline model outperforms an over-generating rule-based approach which is not aware of these further restrictions. If a perfect filter were applied, both would be on par.

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Models based on the transformer architecture, such as BERT, have marked a crucial step forward in the field of Natural Language Processing. Importantly, they allow the creation of word embeddings that capture important semantic information about word s in context. However, as single entities, these embeddings are difficult to interpret and the models used to create them have been described as opaque. Binder and colleagues proposed an intuitive embedding space where each dimension is based on one of 65 core semantic features. Unfortunately, the space only exists for a small data-set of 535 words, limiting its uses. Previous work (Utsumi, 2018, 2020; Turton et al., 2020) has shown that Binder features can be derived from static embeddings and successfully extrapolated to a large new vocabulary. Taking the next step, this paper demonstrates that Binder features can be derived from the BERT embedding space. This provides two things; (1) semantic feature values derived from contextualised word embeddings and (2) insights into how semantic features are represented across the different layers of the BERT model.
The use of GPS readings has led to a real revolution in Geodesic sciences and their applications. Now, the possibility of replacing the conventional methods used in measuring elevations by using GPS technology which is a good method to get the 3D poi nts providing that the GPS measures the helical elevations. In order to measure the Physically important elevations such as the ortho-metric elevation, there must be an accurate specimen that gives the Geoids of the helix ( Geoids separation ) .In some parts of the world ( as in the case of our study ), there are only universal Ganoids .Those ganoids are calculated as series to reach a certain defined degree. The difference in the elevation ref. surfaces and the surface of the global geoids affects the optimized elevation of the GPS, but if we deal in this paper with the deviations in elevations, there will be no problem . The importance of this paper starts here , as we can get the possibility of taking the deviations in elevations by using The GPS tech that does not exceed /500m/ distance along with improving the results by using EGM2008 model. The results of the deviations in elevation taken by GPS, the Universal Geoids specimen /EGM 2008 / the direct engineering and triangular settlements, will be compared so that we reach some recommendations that increase accuracy in work and save time and efforts.
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