Text, Speech, and Dialogue: 28th International Conference, TSD 2025, Erlangen, Germany, August 25–28, 2025, Proceedings, Part II

Author:   Kamil Ekštein ,  Miloslav Konopík ,  Ondřej Pražák ,  František Pártl
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032025500


Pages:   327
Publication Date:   22 August 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Text, Speech, and Dialogue: 28th International Conference, TSD 2025, Erlangen, Germany, August 25–28, 2025, Proceedings, Part II


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Author:   Kamil Ekštein ,  Miloslav Konopík ,  Ondřej Pražák ,  František Pártl
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032025500


ISBN 10:   3032025508
Pages:   327
Publication Date:   22 August 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- 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.

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