Artificial Intelligence and Natural Language

11th Conference, AINL 2022, Saint Petersburg, Russia, April 14–15, 2022, Revised Selected Papers

Valentin Malykh, Andrey Filchenkov (Herausgeber)

Buch | Softcover

IX, 109 Seiten

2023 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-23371-5 (ISBN)

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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.

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.

Inferring image background from text description.- Topical Extractive Summarization.- The Semantic Shifts of the Topical Structure in the Corpus of Lentach News Posts.- Development of folklore motif classifie using limited data.- Morphological and Emotional Features of the Speech in Children with Typical Development, Autism Spectrum Disorders and Down Syndrome.- WikiMulti: a Corpus for Cross-Lingual Summarization.- Rethinking Crowd Sourcing for Semantic Similarity.- Interplay of Visual and Acoustic Cues of Irony Perception: a Case Study of Actor's Speech.- Findings of Biomedical Russian to English Machine Translation Competition.- Translation of medical texts with ensembling and knowledge distillation.

Erscheinungsdatum	12.01.2023
Reihe/Serie	Communications in Computer and Information Science
Zusatzinfo	IX, 109 p. 43 illus., 22 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	194 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	adaptive boosting • Applications • Artificial Intelligence • Automata Theory • Classification methods • Computational Linguistics • Computer Science • conference proceedings • Correlation Analysis • Databases • Data Mining • Informatics • Information Retrieval • machine learning • Natural Language Processing (NLP) • Natural Languages • Research • Signal Processing • Speech Analysis • Speech processing • text processing • theoretical computer science
ISBN-10	3-031-23371-9 / 3031233719
ISBN-13	978-3-031-23371-5 / 9783031233715
Zustand	Neuware