Latest Research in Topic Modeling
29 research papers · 2026 median publication year
Top Research Topics in Topic Modeling
- Computation and Language — 7 papers
- Artificial Intelligence — 5 papers
- Topic Modeling — 4 papers
- Machine Learning — 4 papers
- Computer Vision and Pattern Recognition — 2 papers
- Databases — 2 papers
- Data Mining Algorithms and Applications — 1 papers
- Information Retrieval — 1 papers
- Explainable Artificial Intelligence (XAI) — 1 papers
- Machine Learning in Materials Science — 1 papers
Highest-Cited Papers
- The ArchiveGene Corpus: A Synthetic Multi-Layer Benchmark for Genealogical Information Extraction from Uzbek Historical Archival Texts
- UG-UMRE: Uncertainty-Guided Modality Augmentation and Distributional Calibration for Unified Multimodal Relation Extraction
- CountTRuCoLa: Rule Learning for Interpretable Temporal Knowledge Graph Forecasting
- Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge
- Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction
- PIE-APT: A Unified Framework for Temporal Planning and Contradiction Hunting via Incremental Direct-Derivation Abduction
- Glyce: Glyph-vectors for Chinese Character Representations
- CONSISTRE: A Unified Consistency-Aware Framework for Document-Level Relation Extraction with Large Language Models
- TEmBed-T: A Multi-Dimensional Benchmark for Table-Level Embeddings
- On Discovering Discriminative Itemsets Based on Detecting Frequent Itemsets in Succession
- Entities as Retrieval Signals: A Systematic Study of Coverage, Supervision, and Evaluation in Entity-Oriented Ranking
- PINE: Extracting Correlated Token Pairs for Explainable Entity Matching
- Lightweight Person-Place Relation Extraction from Historical Newspapers with Dependency Graphs and Proximity Features
- Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models
- Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models
- HRE-LSC: A Hyper-Relational Data Enhancement Framework for Long Tail Distribution and Structural Consistency
- Solder Alloys Data Mining for Materials Research
- From Blind Search to Memory-Aware Evolution: Efficient DBMS Tuning via Collaborative Diagnosis and Utility-Aware Retrieval
- Schema-Constrained Document-Level Event Argument Extraction with Lightweight LLM Fine-Tuning
- Event-Conditioned Causal Extraction in Saudi Dialect: A Comparative Study of Dialect-Trained BERTs and LLM Prompting