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E-grāmata: 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 I

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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 14762
  • Izdošanas datums: 19-Sep-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031702396
  • Formāts - EPUB+DRM
  • Cena: 130,85 €*
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  • Formāts: EPUB+DRM
  • Sērija : Lecture Notes in Computer Science 14762
  • Izdošanas datums: 19-Sep-2024
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783031702396

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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 2527, 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.
Fine-Tuning BERT On Coarse-Grained Labels: Exploring Hidden States For
Fine-Grained Classification.- Studies on the Use of Large Language Models for
the Automation of Business Processes in Enterprise Resource Planning
Systems.- Efficient Knowledge Distillation: Empowering Small Language Models
with Teacher Model Insights.- Text Role Classification in Scientific Charts
Using Multimodal Transformers.- LaFiCMIL: Rethinking Large File
Classification from the Perspective of Correlated Multiple Instance
Learning.- Unveiling Depression on Social Media: Active Learning with
Human-in-the-Loop Labeling for Mental Health Data Annotation and
Analysis.- All-words Pronunciation Estimation of Japanese Homographs Using
Automatically Tagged Data.- Ive got the Answer! Interpretation of LLMs
Hidden States in Question Answering.- Improving DRS-to-Text Generation
through Delexicalization and Data Augmentation.- Large Language Models for
Few-Shot Automatic Term Extraction.- Data Augmentation Method Utilizing
Template Sentences for Variable Definition Extraction.- Semi-supervised Named
Entity Recognition for Low-Resource Languages using Dual PLMs.- Improved
Models for Media Bias Detection and Subcategorization.- Grounding Toxicity in
Real-World Events across Languages.-Unveiling the Hate: Generating Faithful
and Plausible Explanations for Implicit and Subtle Hate Speech
Detection.- The Influence of Iconicity in Transfer Learning for Sign Language
Recognition.- S3: A Simple Strong Sample-Effective Multimodal Dialog
System.- Body-Shaming Detection and Classification in Italian Social
Media.-Adaptive Greedy Layer Pruning: Iterative Layer Pruning With Subsequent
Model Repurposing.- Toward Automatic Group Membership Annotation for Group
Fairness Evaluation.- REA: Refine-Estimate-Answer Prompting for Zero-Shot
Relation Extraction.- Enhancing Romanian Offensive Language Detection through
Knowledge Distillation, Multi-Task Learning and Data
Augmentation.- Automating Gender-Inclusive Language Modification in Italian
University Administrative Documents.- An SoK of Relation Extraction
Techniques in Cyber Threat Intelligence.- Shact: Disentangling and Clustering
Latent Syntactic Structures from Transformer Encoders.- MaskPure: Improving
Defense Against Text Adversaries with Stochastic Purification.- SERIEMA: A
Framework to Enhance Clustering Stability, Compactness, and Separation by
Fusing Multimodal Data.- Exploiting Graph Embeddings from Knowledge Bases for
Neural Biomedical Relation Extraction.- DAHRS: Divergence-Aware
Hallucination-Remediated SRL Projection.- EpidGPT: A Combined Strategy to
Discriminate Between Redundant and New Information for Epidemiological
Surveillance Systems.- Towards Generating High-Quality Knowledge Graphs by
Leveraging Large Language Models.- DeepCodeGraph: A Language Model for
Compile-Time Resource Optimization Using Masked Graph Autoencoders.- Design
and Implementation of a Natural Language Interface for Controlling the Web of
Things Devices.- IndEL: Indonesian Entity Linking Benchmark Dataset for
General and Specific Domains.- Semantic Multi-Concept Annotation for Tabular
Data in Financial Documents.