{"product_id":"ekstein-kamil-text-speech-and-dialogue-9783032025500","title":"Text, Speech, and Dialogue","description":".- Text.\n\u003cbr\u003e\n.- Product Recommendation with Prospect Theoretic Self-Aligned LLM Systems.\n\u003cbr\u003e\n.- Tracking Mental Health Indicators on Social Media Before and After Diagnosis.\n\u003cbr\u003e\n.- Large Language Models for Czech Aspect-Based Sentiment Analysis.\n\u003cbr\u003e\n.- Few-shot Cross-lingual Aspect-Based Sentiment Analysis with Sequence-to-Sequence Models.\n\u003cbr\u003e\n.- Flexing in 73 Languages: A Single Small Model for Multilingual Inflection.\n\u003cbr\u003e\n.- Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment.\n\u003cbr\u003e\n.- Refining Czech GEC: Insights from a Multi-Experiment Approach.\n\u003cbr\u003e\n.- Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language.\n\u003cbr\u003e\n.- CRNLI: A Textual Entailment Dataset in the Chemistry Domain.\n\u003cbr\u003e\n.- Scale-Free Characteristics of Legal Texts and the Limitations of LLMs.\n\u003cbr\u003e\n.- Investigating the Effect of Parallel Data in the Cross-Lingual Transfer for Vision-Language Encoders.\n\u003cbr\u003e\n.- Toward Quantifying How The Burden of Problems Reported By Patients Evolves in Parkinson's Disease: An Exploratory Analysis.\n\u003cbr\u003e\n.- Computing Patient Similarity Based on Unstructured Clinical Notes.\n\u003cbr\u003e\n.- Enhancing ASR Accuracy for Speakers with Parkinson’s Disease Using Instruction-Tuned LLMs.\n\u003cbr\u003e\n.- Automatic Semantic Tagging of Estonian Spatial Adverbials for Valency Pattern Mining.\n\u003cbr\u003e\n.- Automatic Cognitive Disorder Detection through Semantic Analysis of Verbal Image Descriptions.\n\u003cbr\u003e\n.- Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution.\n\u003cbr\u003e\n.- Multilingual Implicit Discourse Relation Recognition via Abstract Object-Enhanced Chain-of-Thought Prompting.\n\u003cbr\u003e\n.- Enhancing Masked Language Modeling in BERT Models Using Pretrained Static Embeddings.\n\u003cbr\u003e\n.- Knowledge Representation Approaches for Educational Question Generation.\n\u003cbr\u003e\n.- Leveraging Fine-Tuned State-of-the-Art LLMs for Symptom Classification of Patient-Reported Problems in Parkinson's Disease.\n\u003cbr\u003e\n.- Gold Data and Multiple Understanding of Discourse Relations.\n\u003cbr\u003e\n.- Are We There yet? A Thorough Evaluation of POS Tagging on Czech.\n\u003cbr\u003e\n.- Morphological Segmentation with Neural Networks: Performance Effects of Architecture, Data Size, and Cross-Lingual Transfer in Seven Languages.\n\u003cbr\u003e\n.- Verb Motility Dynamics Reveals Cognitive Impairment in Parkinson’s Disease: A Speech-Language Fusion Approach.\n\u003cbr\u003e\n.- Dialogue.\n\u003cbr\u003e\n.- Corpus of Cross-lingual Dialogues with Minutes and Detection of Misunderstandings.\n\u003cbr\u003e\n.- Parameter vs. Sample Efficiency in Multi-intent Recognition for Dialogue Understanding: Benchmarking Small Open LLMs.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53742918861142,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/ekstein-kamil-text-speech-and-dialogue-9783032025500","provider":"momoxbooks","version":"1.0","type":"link"}