標(biāo)題: Titlebook: Artificial Intelligence and Natural Language; 11th Conference, AIN Valentin Malykh,Andrey Filchenkov Conference proceedings 2022 The Editor [打印本頁] 作者: 閃爍 時間: 2025-3-21 20:04
書目名稱Artificial Intelligence and Natural Language影響因子(影響力)
書目名稱Artificial Intelligence and Natural Language影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence and Natural Language網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence and Natural Language網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence and Natural Language被引頻次
書目名稱Artificial Intelligence and Natural Language被引頻次學(xué)科排名
書目名稱Artificial Intelligence and Natural Language年度引用
書目名稱Artificial Intelligence and Natural Language年度引用學(xué)科排名
書目名稱Artificial Intelligence and Natural Language讀者反饋
書目名稱Artificial Intelligence and Natural Language讀者反饋學(xué)科排名
作者: Rct393 時間: 2025-3-21 20:17
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作者: fallible 時間: 2025-3-22 00:40
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作者: 怕失去錢 時間: 2025-3-22 04:40
,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作者: Frisky 時間: 2025-3-22 10:08 作者: effrontery 時間: 2025-3-22 14:11 作者: 固定某物 時間: 2025-3-22 18:03
,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作者: degradation 時間: 2025-3-22 21:20 作者: laparoscopy 時間: 2025-3-23 01:58 作者: Brittle 時間: 2025-3-23 06:44 作者: crease 時間: 2025-3-23 13:43
Morphological and Emotional Features of the Speech in Children with Typical Development, Autism Speachine 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作者: 懦夫 時間: 2025-3-23 15:10
,WikiMulti: A Corpus for?Cross-Lingual Summarization,uce 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: .作者: 肉體 時間: 2025-3-23 19:49 作者: 多骨 時間: 2025-3-24 01:23
,Interplay of Visual and Acoustic Cues of Irony Perception: A Case Study of Actor’s Speech,and 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作者: 愛好 時間: 2025-3-24 03:22 作者: outer-ear 時間: 2025-3-24 07:04
,Translation of?Medical Texts with?Ensembling and?Knowledge Distillation, 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作者: handle 時間: 2025-3-24 12:19
https://doi.org/10.1007/978-3-031-23372-2adaptive boosting; artificial intelligence; automata theory; classification methods; computational lingu作者: circuit 時間: 2025-3-24 17:32 作者: Bumble 時間: 2025-3-24 19:12
Emotionsorientierte Konfliktbearbeitung 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作者: Nomadic 時間: 2025-3-25 02:36 作者: Aprope 時間: 2025-3-25 04:17 作者: jocular 時間: 2025-3-25 08:38
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作者: 向前變橢圓 時間: 2025-3-25 13:54
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作者: BLAZE 時間: 2025-3-25 19:12
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: .作者: 跳動 時間: 2025-3-25 23:56 作者: STAT 時間: 2025-3-26 02:08
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作者: 的染料 時間: 2025-3-26 05:33
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 ..作者: DAMP 時間: 2025-3-26 09:46
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作者: Delectable 時間: 2025-3-26 15:05
Artificial Intelligence and Natural Language978-3-031-23372-2Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Heresy 時間: 2025-3-26 17:27
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: ..作者: Carbon-Monoxide 時間: 2025-3-27 00:12
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 ..作者: extemporaneous 時間: 2025-3-27 02:08
,WikiMulti: A Corpus for?Cross-Lingual Summarization,uce 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: ..作者: 收集 時間: 2025-3-27 06:27
,Findings of?Biomedical Russian to?English Machine Translation Competition,the 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 ..作者: exclamation 時間: 2025-3-27 12:11 作者: Obituary 時間: 2025-3-27 15:40 作者: epicondylitis 時間: 2025-3-27 21:48 作者: Orthodontics 時間: 2025-3-27 23:08 作者: 公共汽車 時間: 2025-3-28 03:50 作者: 暫停,間歇 時間: 2025-3-28 09:54
,Development of?Folklore Motif Classifier Using Limited Data,nt in the training set. Various ways of vectorizing texts and various models were tested. Evaluation of the results of the classifiers’ work allows us to assert that the developed classifier can correlate texts with motifs with sufficient accuracy.作者: 敏捷 時間: 2025-3-28 10:59 作者: 溫順 時間: 2025-3-28 16:56 作者: agglomerate 時間: 2025-3-28 21:14
Doreen Bryant,Benjamin Siegmundpical sets since the end of 2018. The corpus contains more than 26,000 posts on various topics. In contemporary Russian linguistic papers, the collection of Lentach posts is rarely analyzed in terms of NLP. The results show that the main topics that are widely discussed in this community cover sports events, health issues, and protests.作者: lesion 時間: 2025-3-29 00:26 作者: 虛構(gòu)的東西 時間: 2025-3-29 05:23
Building a Generative AI Application,ataset using the teacher model to use the translations as additional knowledge for the student network. For the translation of biomedical texts containing a large number of specific nested named entities, the byte-pair encoding approach was chosen, which also improved the quality of the model.作者: CODE 時間: 2025-3-29 07:24
1865-0929 t. 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 intell
