Titlebook: Computational Linguistics and Intelligent Text Processing; 19th International C Alexander Gelbukh Conference proceedings 2023 Springer Natu

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acheon

https://doi.org/10.1007/978-3-662-45069-7ysis of the afferent media (online press mainly). The machine learning part is using the data of the currencies (the prices at a specific time) to predict in a mathematical sense. The sentiment analysis of the media (articles about a cryptocurrency) will influence the mathematical prediction, depend

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Grundgleichungen der Str?mungsmechanikroposed. Convolutional neural networks (CNN) have been successfully applied to image classification, speech emotion recognition, and facial expression recognition. In the current study, a variant of typical CNN is being applied and experimentally investigated in spoken language identification. When

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Grundgleichungen der Str?mungsmechanik NER system that is based on word embedding. Word embedding hold semantic information about the context of the words. We hypothesized that the integration of word embedding features to the conventional lexical and contextual features could improve Arabic NER performance. The Conditional Random Field

Incorruptible

車床

Thermodynamische Aspekte von Str?mungening. This research propose sequence labeling approach to decompose that complex question. Two main tasks in segmenting complex question sentence are detecting sentence boundary with its type, and recognizing word that could be ignored in sentence. The proposed sequence labeling method achieves F1 sc

single

Grundgleichungen der Str?mungsmechanikicative discourse tree (CDT) is used. It consists of a discourse tree (DT) with additional labels on edges, which stand for verbs. These verbs represent communicative actions. Discourse trees are based on rhetoric relations, extracted from a text according to Rhetoric Structure Theory. The problem i

ECG769

Grundgleichungen der Str?mungsmechanikper, we propose a simple yet tough to beat multimodal neural model for deception detection. By combining features from different modalities such as video, audio, and text along with Micro-Expression features, we show that detecting deception in real life videos can be more accurate. Experimental res

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Grundgleichungen der Str?mungsmechanik scholars. Various plagiarism detection systems have been developed to prevent text re-use and to confront plagiarism. Although it is almost easy to detect duplicate text in academic manuscripts, finding patterns of text re-use that has been semantically changed is of great importance. Another impor

Detoxification

https://doi.org/10.1007/978-3-662-57773-8ulturally: communism and democracy in Romania. We aim to analyze the stylistic variation between texts written during these two periods, and determine at what levels the variation is more apparent (if any): at the stylistic level, at the topic level etc. We take a look at the stylistic profile of th