Natural Language Processing and Information Systems : 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Turin, Italy, June 25–27, 2024, Proceedings, Part II / / edited by Amon Rapp, Luigi Di Caro, Farid Meziane, Vijayan Sugumaran

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (429 pages)
• Disciplina: 006.35
• Soggetto topico: Artificial intelligence; Image processing - Digital techniques; Computer vision; Social sciences - Data processing; Computer engineering; Computer networks; Artificial Intelligence; Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Application in Social and Behavioral Sciences; Computer Engineering and Networks
• Persona (resp. second.): RappAmon
• Nota di contenuto: Large-scale Language Models for Sarcasm Detection with Data Augmentation -- Generating Entity Embeddings for Populating Wikipedia Knowledge Graph by Notability Detection -- Meet XLM-RLnews-8: Not Just Another Sentiment Analysis Model -- CWordTM: Towards a Topic Modeling Toolkit from Low-Code to Pro-Code -- Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification -- Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM.-Enhancing Relation Extraction Through Augmented Data: Large Language Models Unleashed -- PET Annotation Visualizer: A Tool to Visualize the Process Models Extraction from Text (PET) Dataset -- E-ReaRev: Adaptive Reasoning for Question Answering over Incomplete Knowledge Graphs by Edge and Meaning Extensions -- ECR: An Expertise-Enriched Conclude-then-Refine Summarization Framework for Professional Articles -- Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering -- Bridging the Gap: Developing an Automatic Speech Recognition System for Egyptian Dialect Integration into Chatbots -- Issue Links Retrieval for New Issues in Issue Tracking Systems -- Coherence Graphs: Bridging the Gap in Text Segmentation with Unsupervised Learning -- Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study -- Automatic Question Answering for the Linguistic Domain – An Evaluation of LLM Knowledge Base Extension with RAG -- Evaluation of Gender Bias in Amharic Word Embedding Model -- Question Generation Capabilities of “Small” Large Language Models -- Detecting Attribute Information in Notice to Airman -- Enhancing Natural Language Processing Capabilities in Geriatric Patient Care: An Annotation Scheme and Guidelines -- A FAIR and Free Prompt-based Research Assistant -- PashtoEmo: Enhancing Text-Based Emotion Analysis in the Pashto Language through Dataset Creation -- BEQuizzer: AI-based Quiz Automatic Generation in Portuguese Language -- LISAScore: Exploring Linear Sum Assignment on BERTScore -- Legal Text Analysis Using Large Language Models in NLP -- Enhancing Small Language Models via ChatGPT and Dataset Augmentation -- Large Language Models and Recommendation Systems: A Proof-of-Concept Study on Public Procurements -- Exploring the Potential of Large Language Models for Text-Based Personality Prediction -- Assessing Generative Language Models in Classification Tasks: Performance and Self-Evaluation Capabilities in the Environmental and Climate Change Domain -- CCA – A Hybrid Cognitive Contract Application for Identifying Accounting Risks in Contractual Language -- Adaptation of Large Language Models for the Public Sector: A Clustering Use Case -- Intelligent Conversational Agent for Medical Information -- Automated Synonym Discovery for Taxonomy Maintenance using Semantic Search Techniques -- Learning Section Weights for Multi-Label Document Classification -- A Multilingual NLP Framework for Offshore Installations -- Evaluating Nuanced Bias in Large Language Model Free Response Answers -- CoURAGE : A framework to evaluate RAG systems.
• Sommario/riassunto: Chapter “Meet XLM-RLnews-8: Not Just Another Sentiment Analysis Model” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
• Titolo autorizzato: Natural Language Processing and Information Systems
• ISBN: 3-031-70242-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910887803503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 14763