Copertina

Development of a WAZOBIA-Named Entity Recognition System

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Emedem, S. E, Onyenwe, I. E, Onyedinma, E. G
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Human-Computer Interaction Information Retrieval Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models
di: Chu, Jung-Mei, et al.
Pubblicazione: (2024)

Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web
di: Lin, Kate, et al.
Pubblicazione: (2024)

Labeled Interactive Topic Models
di: Seelman, Kyle, et al.
Pubblicazione: (2023)

Language-Based User Profiles for Recommendation
di: Zhou, Joyce, et al.
Pubblicazione: (2024)

Memento: Towards Proactive Visualization of Everyday Memories with Personal Wearable AR Assistant
di: Kim, Yoonsang, et al.
Pubblicazione: (2026)

Towards Fairness in Provably Communication-Efficient Federated Recommender Systems
di: Kaur, Kirandeep, et al.
Pubblicazione: (2024)

Ink and Individuality: Crafting a Personalised Narrative in the Age of LLMs
di: Wasi, Azmine Toushik, et al.
Pubblicazione: (2024)

ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System
di: Hasan, Mahamudul
Pubblicazione: (2024)

Noise-Aware Named Entity Recognition for Historical VET Documents
di: Esser, Alexander M., et al.
Pubblicazione: (2026)

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
di: Xi, Zekun, et al.
Pubblicazione: (2025)

User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents
di: Carvallo, Andrés, et al.
Pubblicazione: (2025)

From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models
di: Messner, Wolfgang, et al.
Pubblicazione: (2023)

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment
di: Wang, Xiaohan, et al.
Pubblicazione: (2024)

EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
di: Ou, Yixin, et al.
Pubblicazione: (2024)

Personalized Benchmarking: Evaluating LLMs by Individual Preferences
di: Garbacea, Cristina, et al.
Pubblicazione: (2026)

Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource Languages
di: Pandya, Hariom A., et al.
Pubblicazione: (2021)

SCOPE: A Lightweight-training LLM Framework for Air Traffic Control Readback Monitoring
di: Deng, Qihan, et al.
Pubblicazione: (2026)

Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy
di: Kearns, William R., et al.
Pubblicazione: (2024)

WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
di: Deng, Yuntian, et al.
Pubblicazione: (2024)

RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation
di: Lee, Juhyeon, et al.
Pubblicazione: (2026)

Generative AI in the Construction Industry: A State-of-the-art Analysis
di: Taiwo, Ridwan, et al.
Pubblicazione: (2024)

Making Language Models Better Tool Learners with Execution Feedback
di: Qiao, Shuofei, et al.
Pubblicazione: (2023)

Towards End-to-End Open Conversational Machine Reading
di: Zhou, Sizhe, et al.
Pubblicazione: (2022)

Serendipity with Generative AI: Repurposing knowledge components during polycrisis with a Viable Systems Model approach
di: Fletcher, Gordon, et al.
Pubblicazione: (2025)

Modeling Trial-and-Error Navigation With a Sequential Decision Model of Information Scent
di: Jin, Xiaofu, et al.
Pubblicazione: (2026)

Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems
di: Siro, Clemencia, et al.
Pubblicazione: (2024)

AFPM: Alignment-based Frame Patch Modeling for Cross-Dataset EEG Decoding
di: Chen, Xiaoqing, et al.
Pubblicazione: (2025)

What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders
di: Sun, Ruixuan, et al.
Pubblicazione: (2024)

Learning to Rank for Maps at Airbnb
di: Haldar, Malay, et al.
Pubblicazione: (2024)

User Preferences for Large Language Model versus Template-Based Explanations of Movie Recommendations: A Pilot Study
di: Albert, Julien, et al.
Pubblicazione: (2024)

Contextual Font Recommendations based on User Intent
di: Sharma, Sanat, et al.
Pubblicazione: (2023)

An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains
di: Torres, Arthur Elwing, et al.
Pubblicazione: (2024)

Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data
di: Matrosova, Kristina, et al.
Pubblicazione: (2024)

Image Restoration: A Comparative Analysis of Image De noising Using Different Spatial Filtering Techniques
di: Onyedinma, E. G., et al.
Pubblicazione: (2024)

Observations on LLMs for Telecom Domain: Capabilities and Limitations
di: Soman, Sumit, et al.
Pubblicazione: (2023)

Towards commands recommender system in BIM authoring tool using transformers
di: Du, Changyu, et al.
Pubblicazione: (2024)

Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners
di: Schleifer, Abigail Gurin, et al.
Pubblicazione: (2024)

To LLM, or Not to LLM: How Designers and Developers Navigate LLMs as Tools or Teammates
di: Vishwarupe, Varad, et al.
Pubblicazione: (2026)

SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalists
di: Khellaf, Lynn, et al.
Pubblicazione: (2025)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
di: Roitero, Kevin, et al.
Pubblicazione: (2025)