Image de couverture de livre

OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Komarlu, Tanay, Jiang, Minhao, Wang, Xuan, Han, Jiawei
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
par: Zhang, Yu, et autres
Publié: (2024)

EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
par: Mtumbuka, Frank, et autres
Publié: (2023)

Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG
par: Drole, Jan, et autres
Publié: (2026)

Creating a Fine Grained Entity Type Taxonomy Using LLMs
par: Gunn, Michael, et autres
Publié: (2024)

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
par: Liu, Zhiqiang, et autres
Publié: (2025)

Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
par: Wang, Qingyun, et autres
Publié: (2024)

Investigating Data Contamination for Pre-training Language Models
par: Jiang, Minhao, et autres
Publié: (2024)

All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing
par: Deshmukh, Advait, et autres
Publié: (2024)

ToNER: Type-oriented Named Entity Recognition with Generative Language Model
par: Jiang, Guochao, et autres
Publié: (2024)

Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
par: Bahad, Sankalp, et autres
Publié: (2024)

OntoURL: A Benchmark for Evaluating Large Language Models on Symbolic Ontological Understanding, Reasoning and Learning
par: Zhang, Xiao, et autres
Publié: (2025)

Fine-Grained Named Entities for Corona News
par: Efeoglu, Sefika, et autres
Publié: (2024)

Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study
par: Aggarwal, Tanay, et autres
Publié: (2025)

PrOnto: Language Model Evaluations for 859 Languages
par: Gessler, Luke
Publié: (2023)

A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion
par: Shen, Yanzhen, et autres
Publié: (2024)

Do Language Models Know When They'll Refuse? Probing Introspective Awareness of Safety Boundaries
par: Gondil, Tanay
Publié: (2026)

OntoAligner: A Comprehensive Modular and Robust Python Toolkit for Ontology Alignment
par: Giglou, Hamed Babaei, et autres
Publié: (2025)

TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
par: Wang, Danqing, et autres
Publié: (2024)

Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction
par: Wang, Xiaokai, et autres
Publié: (2025)

AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes
par: Yao, Barry Menglong, et autres
Publié: (2023)

DeepOnto: A Python Package for Ontology Engineering with Deep Learning
par: He, Yuan, et autres
Publié: (2023)

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition
par: Le, Linh, et autres
Publié: (2025)

Sparsity Induction for Accurate Post-Training Pruning of Large Language Models
par: Jiang, Minhao, et autres
Publié: (2026)

Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition
par: Shirke, Mayur, et autres
Publié: (2025)

Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
par: Zhang, Zefeng, et autres
Publié: (2024)

Sparse Matrix in Large Language Model Fine-tuning
par: He, Haoze, et autres
Publié: (2024)

Legal Documents Drafting with Fine-Tuned Pre-Trained Large Language Model
par: Lin, Chun-Hsien, et autres
Publié: (2024)

LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs
par: Chen, Xuan, et autres
Publié: (2024)

Multi-Attribute Multi-Grained Adaptation of Pre-Trained Language Models for Text Understanding from Bayesian Perspective
par: Zhang, You, et autres
Publié: (2025)

Discerning and Characterising Types of Competency Questions for Ontologies
par: Keet, C. Maria, et autres
Publié: (2024)

GATHER: Convergence-Centric Hyper-Entity Retrieval for Zero-Shot Cell-Type Annotation
par: Zhang, Zhonghui, et autres
Publié: (2026)

Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data
par: Guo, Xu, et autres
Publié: (2026)

DERA: Dense Entity Retrieval for Entity Alignment in Knowledge Graphs
par: Wang, Zhichun, et autres
Publié: (2024)

Evontree: Ontology Rule-Guided Self-Evolution of Large Language Models
par: Tu, Mingchen, et autres
Publié: (2025)

GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning
par: Otto, Wolfgang, et autres
Publié: (2025)

Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation
par: Ouyang, Siru, et autres
Publié: (2024)

Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement
par: Yu, Le, et autres
Publié: (2024)

The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing
par: Li, Muzhi, et autres
Publié: (2024)

Empirical Analysis of Efficient Fine-Tuning Methods for Large Pre-Trained Language Models
par: Doering, Nigel, et autres
Publié: (2024)

Feasibility of Structuring Stress Documentation Using an Ontology-Guided Large Language Model
par: Kim, Hyeoneui, et autres
Publié: (2025)