Natural language processing and info...
NLDB (Conference) (2024 :)

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  • 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 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Natural language processing and information systems/ edited by Amon Rapp ... [et al.].
    其他題名: 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Turin, Italy, June 25-27, 2024 : proceedings.
    其他題名: NLDB 2024
    其他作者: Rapp, Amon.
    團體作者: NLDB (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: xviii, 412 p. :ill. (some col.), digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Natural language processing (Computer science) - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-70242-6
    ISBN: 9783031702426
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