Text, Speech, and Dialogue
Editat de Elmar Nöth, Ale¿ Horák, Petr Sojkaen Limba Engleză Paperback – sep 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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| Springer – sep 2024 | 377.08 lei 43-57 zile |
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Specificații
ISBN-13: 9783031705625
ISBN-10: 3031705629
Pagini: 324
Ilustrații: XX, 285 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3031705629
Pagini: 324
Ilustrații: XX, 285 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.49 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
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Cuprins
.- 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.
.- 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.