Copertina

What Matters When Building Universal Multilingual Named Entity Recognition Models?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Golde, Jonas, Haller, Patrick, Akbik, Alan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
di: Golde, Jonas, et al.
Pubblicazione: (2025)

What Matters in Linearizing Language Models? A Comparative Study of Architecture, Scale, and Task Adaptation
di: Haller, Patrick, et al.
Pubblicazione: (2025)

Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition
di: Golde, Jonas, et al.
Pubblicazione: (2024)

Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
di: Golde, Jonas, et al.
Pubblicazione: (2024)

BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models
di: Haller, Patrick, et al.
Pubblicazione: (2024)

Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements
di: Haller, Patrick, et al.
Pubblicazione: (2025)

MastermindEval: A Simple But Scalable Reasoning Benchmark
di: Golde, Jonas, et al.
Pubblicazione: (2025)

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
di: Golde, Jonas, et al.
Pubblicazione: (2023)

PISA-Bench: The PISA Index as a Multilingual and Multimodal Metric for the Evaluation of Vision-Language Models
di: Haller, Patrick, et al.
Pubblicazione: (2025)

PECC: Problem Extraction and Coding Challenges
di: Haller, Patrick, et al.
Pubblicazione: (2024)

NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition
di: Merdjanovska, Elena, et al.
Pubblicazione: (2024)

Question Decomposition for Retrieval-Augmented Generation
di: Ammann, Paul J. L., et al.
Pubblicazione: (2025)

Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling
di: Aynetdinov, Ansar, et al.
Pubblicazione: (2026)

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
di: Christoph, Daniel, et al.
Pubblicazione: (2025)

Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation
di: Rücker, Susanna, et al.
Pubblicazione: (2025)

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
di: Mayhew, Stephen, et al.
Pubblicazione: (2023)

Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark
di: Blevins, Terra, et al.
Pubblicazione: (2026)

MSNER: A Multilingual Speech Dataset for Named Entity Recognition
di: Meeus, Quentin, et al.
Pubblicazione: (2024)

Named Entity Recognition in Context
di: Brisson, Colin, et al.
Pubblicazione: (2025)

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models
di: Zhang, Jin, et al.
Pubblicazione: (2025)

Federated Incremental Named Entity Recognition
di: Zhang, Duzhen, et al.
Pubblicazione: (2024)

A Reasoning Paradigm for Named Entity Recognition
di: Huang, Hui, et al.
Pubblicazione: (2025)

A Brief History of Named Entity Recognition
di: Munnangi, Monica
Pubblicazione: (2024)

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
di: Zhou, Wenxuan, et al.
Pubblicazione: (2023)

Pre-Training Curriculum for Multi-Token Prediction in Language Models
di: Aynetdinov, Ansar, et al.
Pubblicazione: (2025)

Named Clinical Entity Recognition Benchmark
di: Abdul, Wadood M, et al.
Pubblicazione: (2024)

Mix of Experts Language Model for Named Entity Recognition
di: Chen, Xinwei, et al.
Pubblicazione: (2024)

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition
di: Yang, Yuming, et al.
Pubblicazione: (2024)

SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
di: Aynetdinov, Ansar, et al.
Pubblicazione: (2024)

DANCER: Entity Description Augmented Named Entity Corrector for Automatic Speech Recognition
di: Wang, Yi-Cheng, et al.
Pubblicazione: (2024)

Assessment of Generative Named Entity Recognition in the Era of Large Language Models
di: Zhan, Qi, et al.
Pubblicazione: (2026)

Accurate Medical Named Entity Recognition Through Specialized NLP Models
di: Hu, Jiacheng, et al.
Pubblicazione: (2024)

HiligayNER: A Baseline Named Entity Recognition Model for Hiligaynon
di: Teves, James Ald, et al.
Pubblicazione: (2025)

Rethinking Negative Instances for Generative Named Entity Recognition
di: Ding, Yuyang, et al.
Pubblicazione: (2024)

Embedded Named Entity Recognition using Probing Classifiers
di: Popovič, Nicholas, et al.
Pubblicazione: (2024)

Context-aware Adversarial Attack on Named Entity Recognition
di: Chen, Shuguang, et al.
Pubblicazione: (2023)

The Role of Global and Local Context in Named Entity Recognition
di: Amalvy, Arthur, et al.
Pubblicazione: (2023)

DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition
di: Luo, Hanjun, et al.
Pubblicazione: (2024)

FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
di: Bouabdallaoui, Ibrahim, et al.
Pubblicazione: (2025)

LTNER: Large Language Model Tagging for Named Entity Recognition with Contextualized Entity Marking
di: Yan, Faren, et al.
Pubblicazione: (2024)