Description

Book Synopsis

.- 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.

Text Speech and Dialogue

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    Order before 4pm tomorrow for delivery by Wed 17 Jun 2026.

    A Paperback by Kamil Ekštein

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      View other formats and editions of Text Speech and Dialogue by Kamil Ekštein

      Publisher: Springer
      Publication Date: 22/09/2025
      ISBN13: 9783032025500, 978-3032025500
      ISBN10:

      Description

      Book Synopsis

      .- 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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