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Link zu diesem Datensatz | https://d-nb.info/1374506052 |
Titel | Text, Speech, and Dialogue : 28th International Conference, TSD 2025, Erlangen, Germany, August 25–28, 2025, Proceedings, Part II / edited by Kamil Ekštein, Miloslav Konopík, Ondřej Pražák, František Pártl |
Person(en) |
Ekštein, Kamil (Herausgeber) Konopík, Miloslav (Herausgeber) Pražák, Ondřej (Herausgeber) Pártl, František (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2026 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2026 |
Umfang/Format | Online-Ressource, XXII, 327 p. 67 illus., 58 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-02550-0 Printed edition:: ISBN: 978-3-032-02552-4 |
Inhalt | -- Text. -- Product Recommendation with Prospect Theoretic Self-Aligned LLM Systems. -- Tracking Mental Health Indicators on Social Media Before and After Diagnosis. -- Large Language Models for Czech Aspect-Based Sentiment Analysis. -- Few-shot Cross-lingual Aspect-Based Sentiment Analysis with Sequence-to-Sequence Models. -- Flexing in 73 Languages: A Single Small Model for Multilingual Inflection. -- Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment. -- Refining Czech GEC: Insights from a Multi-Experiment Approach. -- Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language. -- CRNLI: A Textual Entailment Dataset in the Chemistry Domain. -- Scale-Free Characteristics of Legal Texts and the Limitations of LLMs. -- Investigating the Effect of Parallel Data in the Cross-Lingual Transfer for Vision-Language Encoders. -- Toward Quantifying How The Burden of Problems Reported By Patients Evolves in Parkinson's Disease: An Exploratory Analysis. -- Computing Patient Similarity Based on Unstructured Clinical Notes. -- Enhancing ASR Accuracy for Speakers with Parkinson’s Disease Using Instruction-Tuned LLMs. -- Automatic Semantic Tagging of Estonian Spatial Adverbials for Valency Pattern Mining. -- Automatic Cognitive Disorder Detection through Semantic Analysis of Verbal Image Descriptions. -- Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution. -- Multilingual Implicit Discourse Relation Recognition via Abstract Object-Enhanced Chain-of-Thought Prompting. -- Enhancing Masked Language Modeling in BERT Models Using Pretrained Static Embeddings. -- Knowledge Representation Approaches for Educational Question Generation. -- Leveraging Fine-Tuned State-of-the-Art LLMs for Symptom Classification of Patient-Reported Problems in Parkinson's Disease. -- Gold Data and Multiple Understanding of Discourse Relations. -- Are We There yet? A Thorough Evaluation of POS Tagging on Czech. -- Morphological Segmentation with Neural Networks: Performance Effects of Architecture, Data Size, and Cross-Lingual Transfer in Seven Languages. -- Verb Motility Dynamics Reveals Cognitive Impairment in Parkinson’s Disease: A Speech-Language Fusion Approach. -- Dialogue. -- Corpus of Cross-lingual Dialogues with Minutes and Detection of Misunderstandings. -- Parameter vs. Sample Efficiency in Multi-intent Recognition for Dialogue Understanding: Benchmarking Small Open LLMs |
Persistent Identifier |
URN: urn:nbn:de:101:1-2508220408248.279267299667 DOI: 10.1007/978-3-032-02551-7 |
URL | https://doi.org/10.1007/978-3-032-02551-7 |
ISBN/Einband/Preis | 978-3-032-02551-7 |
Sprache(n) | Englisch (eng) |
Beziehungen | Lecture Notes in Artificial Intelligence ; 16030 |
DDC-Notation | 006.35 (maschinell ermittelte DDC-Kurznotation) |
Sachgruppe(n) | 004 Informatik |
Online-Zugriff | Archivobjekt öffnen |
