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Text, Speech, and Dialogue: 27th International Conference, TSD 2024, Brno, Czech Republic, September 913, 2024, Proceedings, Part I 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 304 pages, kõrgus x laius: 235x155 mm, 42 Illustrations, color; 13 Illustrations, black and white; XVII, 304 p. 55 illus., 42 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 15048
  • Ilmumisaeg: 01-Sep-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031705629
  • ISBN-13: 9783031705625
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Text, Speech, and Dialogue: 27th International Conference, TSD 2024, Brno, Czech Republic, September 913, 2024, Proceedings, Part I 2024 ed.Suurem pilt
  • Formaat: Paperback / softback, 304 pages, kõrgus x laius: 235x155 mm, 42 Illustrations, color; 13 Illustrations, black and white; XVII, 304 p. 55 illus., 42 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Artificial Intelligence 15048
  • Ilmumisaeg: 01-Sep-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031705629
  • ISBN-13: 9783031705625
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031705625.html
Märksõnad:
The two-volume set LNAI 15048 and 15049 constitutes the refereed proceedings of the 27th International Conference on Text, Speech, and Dialogue, TSD 2024, held in Brno, Czech Republic, during September 913, 2024.

The 50 revised full papers presented in these deadline proceedings were carefully reviewed and selected from 103 submissions. 





The papers are organized in the following topical sections:





Part I: Text





Part II: Speech, Dialogue
.- Text.



.- SeqCondenser: Inductive Representation Learning of Sequences by Sampling
Characteristic Functions



.- Is Prompting What Term Extraction Needs?.



.- Bilingual Lexicon Induction From Comparable and Parallel Data:
A Comparative Analysis.



.- Explaining Metaphors in the French Language by Solving Analogies using
a Knowledge Graph.



.- The Aranea Corpora Family: Ten+ Years of Processing Web-Crawled Data.



.- Continual Learning Under Language Shift.



.- Neural Spell-Checker: Beyond Words with Synthetic Data Generation.



.- CoastTerm: a Corpus for Multidisciplinary Term Extraction in
Coastal Scientific Literature.



.- New Human-Annotated Dataset of Czech Health Records for Training Medical
Concept Recognition Models.



.- Analyzing Biases in Popular Answer Selection Datasets on Neural-based
QA Models.



.- Using Neural Coherence Models to Assess Discourse Coherence.



.- Named Entity Linking in English-Czech Parallel Corpus.



.- TamSiPara: A Tamil Sinhala Parallel Corpus.



.- Automatic Ellipsis Reconstruction in Coordinated German Sentences Based on
Text-To-Text Transfer Transformers.



.- Better Low-Resource Machine Translation with Smaller Vocabularies.



.- Bella Turca: A Large-Scale Dataset of Diverse Text Sources for
Turkish Language Modeling.



.- Evaluation Metrics in LLM Code Generation.



.- Kernel Least Squares Transformations for Cross-lingual Semantic Spaces.



.- Unsupervised Extraction of Morphological Categories for Morphemes.



.- Introducing LCCs NavProc 1.0 Corpus: Annotated Procedural Texts in
the Naval Domain.



.- Models and Strategies for Russian Word Sense Disambiguation: A Comparative
Analysis.



.- Open-Source Web Service with Morphological DictionarySupplemented Deep
Learning for Morphosyntactic Analysis of Czech.



.- Mistríks Readability Metric an Online Library.