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Titlebook: Artificial Intelligence and Natural Language; 11th Conference, AIN Valentin Malykh,Andrey Filchenkov Conference proceedings 2022 The Editor

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發(fā)表于 2025-3-21 20:04:00 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence and Natural Language
期刊簡稱11th Conference, AIN
影響因子2023Valentin Malykh,Andrey Filchenkov
視頻videohttp://file.papertrans.cn/163/162257/162257.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Artificial Intelligence and Natural Language; 11th Conference, AIN Valentin Malykh,Andrey Filchenkov Conference proceedings 2022 The Editor
影響因子?This book constitutes the refereed proceedings of the 11th?Conference on Artificial Intelligence and Natural Language, AINL 2022, held in St. Petersburg, Russia, in April 2022.?.The 8 revised full papers and 1 short paper were carefully reviewed and selected from 20 submissions. The volume presents recent research in areas of?of text mining, speech technologies, dialogue systems, information retrieval, machine learning, articial intelligence, and robotics.?.
Pindex Conference proceedings 2022
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Richard T. Justenhoven,Maximilian Jansens, sentences, tokens, pauses, and unfinished words; the relative frequencies of parts of speech and some grammatical categories (animacy, number, aspect, involvement, mood, person, tense), and the statistics of positive and negative words use. The Mann-Whitney U test was used to assess differences i
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Empowering Independent Living using the ICFon, pitch movement, gestures and mimics, as well as their synchrony in the well-recognized target utterances were analyzed. The results of the experiments demonstrated that the visual cues were more important for irony perception than the audio signal. Yet, some video stimuli that had low recognitio
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,Inferring Image Background from?Text Description,plied by the text, but not mentioned directly. We have also collected two datasets to train and test the corresponding models. These datasets are publicly available at .. We have compared the performance of our algorithm with several existing approaches which might be used for extracting the locatio
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,Inferring Image Background from?Text Description,and suffer from indeterminacy. In order to improve this situation, we split the image synthesis task into separate parts with predicting the layout of the scene as one of these tasks. We believe that it could be started with the background, which is usually determined by the location of the scene. G
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