Ekštein / Ekstein / Konopík Text, Speech, and Dialogue

28th International Conference, TSD 2025, Erlangen, Germany, August 25–28, 2025, Proceedings, Part II
Erscheinungsjahr 2025
ISBN: 978-3-032-02551-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 327 Seiten

Reihe: Computer Science (R0)

This conference volume constitutes the proceedings of the 28th International Conference on Engineering on Text, Speech, and Dialogue, TSD 2025, held in Erlangen, Germany, in August 2025.

Zielgruppe

Research

Autoren/Hrsg.

Ekštein, Kamil

Ekstein, Kamil

Konopík, Miloslav

Pražák, Ondrej

Prazák, Ondrej

Pártl, František

Pártl, Frantisek

Inhaltsverzeichnis

.- 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.