Papers Entity Resolution
“Entity Resolution” 태그가 달린 논문 214편 · 필터 해제
Domain-Specific Text Embedding Models for Entity Resolution
General-purpose text embedding models are designed to capture semantic similarity but are not optimised for distinguishing entity records that represent the same real-world business or person. This limitation affects app…
Information RetrievalSemantic SimilarityEntity ResolutionLightning Fast Matching Dependency Discovery with Desbordante
Matching dependency is a generalization of the functional dependency concept, which allows users to apply custom similarity functions for matching individual attributes. Matching dependencies have a wide range of applica…
Entity ResolutionLinking Hadith Narrator Identities Across Heterogeneous Arabic Biographical Databases: A Multi-Signal Entity Resolution Pipeline
The transmission chains (sanad) of Islamic Hadith literature encode relationships among tens of thousands of historical narrators whose biographical records are dispersed across independently maintained digital databases…
Entity ResolutionManaging Map Cardinality in Automatic Disease Classification Mapping: Balancing Precision, Recall and Coverage
Automatic mapping between disease classification systems, such as the International Classification of Diseases (ICD), is a challenging yet essential task for integrating health data and conducting longitudinal data analy…
Entity ResolutionMemory-Managed Long-Context Attention: Bounded Editable Memory with a Hard Lifecycle and Calibrated Sparse Fallback
We study memory-managed long-context attention: explicit bounded memory with a learned query-independent writer, lifecycle control, query-aware reading, calibrated sparse fallback, and frozen-LLM generation from raw evid…
Entity ResolutionMapping Political-Elite Networks in Europe with a Multilingual Joint Entity-Relation Extraction Pipeline
Whether political elites organise into rent-seeking coalitions that capture public resources or civic networks that sustain governance is a central question in comparative politics. Yet observing these complex, informal,…
Relation ExtractionEntity ResolutionKnowledge GraphsFrom Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations
Sequential user behavior modeling is widely adopted in industrial recommender systems; however, significant gaps remain in financial services, where pre-login web interactions and authenticated in-app experiences differ …
Entity ResolutionEntity Resolution via Batched Oracle Queries
We consider an oracle that processes a limited batch of records at a time and clusters those that refer to the same real-world entity. We study how to interrogate such an oracle to resolve entities in a dataset whose siz…
Entity ResolutionPaying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce
Commercial NLP treats the shopping chatbot as a recommender or a conversion tool: its job is to match a user to a catalogue entry and close a sale. We argue that the arrival of agent-native micro-payment rails (e.g., x40…
Entity ResolutionPAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums
Longitudinal personal albums are weak-schema multimodal databases: noisy perceptual records whose key facts require joins across faces, text, timestamps, locations, and repeated events. Existing visual, video, document, …
Structured PredictionEntity ResolutionCitation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance Question Answering
Deploying Large Language Models (LLMs) for regulatory compliance demands rigorous traceability via comprehensive citations across multi-tiered authority structures. Unlike traditional multi-hop or legal QA, this task req…
Question AnsweringEntity ResolutionAdaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution
Dirty entity resolution (ER), which identifies records referring to the same real-world entity from a single, messy dataset, is a fundamental task in data management and mining. However, the dominant blocking-matching-cl…
Entity ResolutionStructure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts
Matching person names across heterogeneous records is a core challenge in entity resolution, especially within linguistically and culturally complex environments. Variations in naming conventions, inconsistent transliter…
Entity ResolutionA Tight Expressivity Hierarchy for GNN-Based Entity Resolution in Master Data Management
Entity resolution -- identifying database records that refer to the same real-world entity -- is naturally modelled on bipartite graphs connecting entity nodes to their attribute values. Applying a message-passing neural…
Entity ResolutionSupporting Workflow Reproducibility by Linking Bioinformatics Tools across Papers and Executable Code
Motivation: The rapid growth of biological data has intensified the need for transparent, reproducible, and well-documented computational workflows. The ability to clearly connect the steps of a workflow in the code with…
Entity ResolutionA Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthcare Data Environments
Duplicate records pose significant challenges in customer relationship management (CRM)and healthcare, often leading to inaccuracies in analytics, impaired user experiences, and compliance risks. Traditional deduplicatio…
Entity ResolutionDeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents
We introduce DeepSearchQA, a 900-prompt benchmark for evaluating agents on difficult multi-step information-seeking tasks across 17 different fields. Unlike traditional benchmarks that target single answer retrieval or b…
Entity ResolutionMultimodal Privacy-Preserving Entity Resolution with Fully Homomorphic Encryption
The canonical challenge of entity resolution within high-compliance sectors, where secure identity reconciliation is frequently confounded by significant data heterogeneity, including syntactic variations in personal ide…
Entity ResolutionMulti-Disciplinary Dataset Discovery from Citation-Verified Literature Contexts
Identifying suitable datasets for a research question remains challenging because existing dataset search engines rely heavily on metadata quality and keyword overlap, which often fail to capture the semantic intent of s…
Entity ResolutionToo Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
Training vision language models (VLMs) aims to align visual representations from a vision encoder with the textual representations of a pretrained large language model (LLM). However, many VLMs exhibit reduced factual re…
Entity Resolution