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

Aprope

jocular

Richard T. Justenhoven,Maximilian Jansenresent them in the form of classifications. Attributing folklore texts to certain motifs is part of the work of folklorists, but at the moment only manual marking is possible. This paper proposes methods for developing a classifier of folklore motifs using the zero-shot approach, which makes it poss

向前變橢圓

Richard T. Justenhoven,Maximilian Jansenachine learning methods. The study proposes an approach to developing the automatic system for classification the state of children (typical development, autism spectrum disorders, and Down syndrome) based on the linguistic characteristics of speech. 62 boys aged 8–11?years including 20 children wit

BLAZE

Employee Wellbeing in the Global Southuce WikiMulti - a new dataset for cross-lingual summarization based on Wikipedia articles in 15 languages. As a set of baselines for further studies, we evaluate the performance of existing cross-lingual abstractive summarization methods on our dataset. We make our dataset publicly available here: .

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STAT

Empowering Independent Living using the ICFand non-ironic utterances from modern films and series taking into account narrow and broad context, lexical and semantic markers. Then we extracted the target utterances from the context eliminating any markers of irony. The participants of the perceptual experiments could rely only on the visual a

的染料

https://doi.org/10.1007/978-3-658-44688-8the dataset, metrics, and baselines used for the Biomedical Russian-English Machine Translation competition. We describe dataset collection and markup along with baseline development and participants’ models. The collected dataset is available by the link ..

DAMP

Building a Generative AI Application, performance of a teacher consisting of an ensemble of 6 models can be achieved with the help of a student consisting of one model, which leads to significantly faster decoding and a large increase in the quality of the model. In our approach to distilling knowledge, we translate the full training d

Delectable

Artificial Intelligence and Natural Language978-3-031-23372-2Series ISSN 1865-0929 Series E-ISSN 1865-0937

Heresy

Employee Wellbeing in the Global Southuce WikiMulti - a new dataset for cross-lingual summarization based on Wikipedia articles in 15 languages. As a set of baselines for further studies, we evaluate the performance of existing cross-lingual abstractive summarization methods on our dataset. We make our dataset publicly available here: ..