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Text, speech, and dialogue = 27th In...

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Text, speech, and dialogue = 27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedings.. Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Text, speech, and dialogue/ edited by Elmar Nöth, Aleš Horák, Petr Sojka.
Reminder of title:	27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedings.
remainder title:	TSD 2024
other author:	Nöth, Elmar.
corporate name:	TSD (Conference)
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xvii, 304 p. :ill., digital ;24 cm.
[NT 15003449]:	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 LCC's 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 Dictionary-Supplemented Deep Learning for Morphosyntactic Analysis of Czech. -- Mistrík's Readability Metric - an Online Library.
Contained By:	Springer Nature eBook
Subject:	Natural language processing (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-70563-2
ISBN:	9783031705632

Text, speech, and dialogue = 27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedings.. Part I /
Text, speech, and dialogue27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedings.Part I /[electronic resource] :TSD 2024edited by Elmar Nöth, Aleš Horák, Petr Sojka. - Cham :Springer Nature Switzerland :2024. - xvii, 304 p. :ill., digital ;24 cm. - Lecture notes in computer science,150480302-9743 ;. - Lecture notes in computer science ;15048..

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 LCC's 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 Dictionary-Supplemented Deep Learning for Morphosyntactic Analysis of Czech. -- Mistrík's Readability Metric - an Online Library.

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 9-13, 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.

ISBN: 9783031705632

Standard No.: 10.1007/978-3-031-70563-2doiSubjects--Topical Terms:

752585
Natural language processing (Computer science)
--Congresses.

LC Class. No.: QA76.9.N38 / T73 2024

Dewey Class. No.: 006.35

Text, speech, and dialogue = 27th International Conference, TSD 2024, Brno, Czech Republic, September 9-13, 2024 : proceedings.. Part I /
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520 $a 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 9-13, 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.
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