Overview

The two-volume proceedings set LNCS 14762 and 14763 constitutes the refereed proceedings of the 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, held in Turin, Italy, in June 25–27, 2024. The 35 full papers, 26 short papers, 3 demo papers and 8 industry track papers included in these books were carefully reviewed and selected from 141 submissions. They focus on advancements and support studies related to languages previously underrepresented, such as Arabic, Romanian, Italian and Japanese languages.

Full Product Details

Author:   Amon Rapp ,  Luigi Di Caro ,  Farid Meziane ,  Vijayan Sugumaran
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   14763
ISBN:  

9783031702419

ISBN 10:   3031702417
Pages:   412
Publication Date:   20 September 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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.

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