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 /

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.

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
সংস্থা লেখক: SpringerLink (Online service)
অন্যান্য লেখক: Rapp, Amon (Editor), Di Caro, Luigi (Editor), Meziane, Farid (Editor), Sugumaran, Vijayan (Editor)
বিন্যাস: বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ
ভাষা:ইংরেজি
প্রকাশিত: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
সংস্করন:1st ed. 2024.
মালা:Lecture Notes in Computer Science, 14763
বিষয়গুলি:
অনলাইন ব্যবহার করুন:https://doi.org/10.1007/978-3-031-70242-6
ট্যাগগুলো: ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
সূচিপত্রের সারণি:
  • 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.