LEADER 04778nam 22005175 450 001 996673180803316 005 20250821130505.0 010 $a3-032-02551-6 024 7 $a10.1007/978-3-032-02551-7 035 $a(CKB)40401980600041 035 $a(MiAaPQ)EBC32269866 035 $a(Au-PeEL)EBL32269866 035 $a(DE-He213)978-3-032-02551-7 035 $a(OCoLC)1534812720 035 $a(EXLCZ)9940401980600041 100 $a20250821d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aText, Speech, and Dialogue $e28th International Conference, TSD 2025, Erlangen, Germany, August 25?28, 2025, Proceedings, Part II /$fedited by Kamil Ek?tein, Miloslav Konopík, Ond?ej Pra?ák, Franti?ek Pártl 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (541 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v16030 311 08$a3-032-02550-8 327 $a -- 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. 330 $aThis conference volume constitutes the proceedings of the 28th International Conference on Engineering on Text, Speech, and Dialogue, TSD 2025, held in Erlangen, Germany, in August 2025. The 60 full papers were presented in this volume were carefully reviewed and selected from 122 submissions. They focus on speech and language technologies and computer processing of speech and language related data. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v16030 606 $aNatural language processing (Computer science) 606 $aNatural Language Processing (NLP) 615 0$aNatural language processing (Computer science) 615 14$aNatural Language Processing (NLP). 676 $a006.35 700 $aEks?tein$b Kamil$00 701 $aKonopi?k$b Miloslav$00 701 $aPra?ák$b Ond?ej$01321680 701 $aPa?rtl$b Frantis?ek$00 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996673180803316 996 $aText, Speech, and Dialogue$94428585 997 $aUNISA