Papers Entity Resolution
“Entity Resolution” 태그가 달린 논문 214편 · 필터 해제
3dSAGER: Geospatial Entity Resolution over 3D Objects (Technical Report)
Urban environments are continuously mapped and modeled by various data collection platforms, including satellites, unmanned aerial vehicles and street cameras. The growing availability of 3D geospatial data from multiple…
Entity ResolutionLess is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
Retrieval-Augmented Generation (RAG) systems enable large language models (LLMs) instant access to relevant information for the generative process, demonstrating their superior performance in addressing common LLM challe…
Question AnsweringEntity ResolutionKnowledge GraphsMetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs
Mass spectrometry-based metabolomics generates complex, high-dimensional data that holds vast potential for biological discovery but remains difficult to integrate and interpret. Knowledge graphs (KGs) unify this heterog…
Entity ResolutionKnowledge GraphsMahānāma: A Unique Testbed for Literary Entity Discovery and Linking
High lexical variation, ambiguous references, and long-range dependencies make entity resolution in literary texts particularly challenging. We present Mahānāma, the first large-scale dataset for end-to-end Entity Discov…
Entity ResolutionEntity LinkingTransformer-Gather, Fuzzy-Reconsider: A Scalable Hybrid Framework for Entity Resolution
Entity resolution plays a significant role in enterprise systems where data integrity must be rigorously maintained. Traditional methods often struggle with handling noisy data or semantic understanding, while modern met…
Entity ResolutionIMDMR: An Intelligent Multi-Dimensional Memory Retrieval System for Enhanced Conversational AI
Conversational AI systems often struggle with maintaining coherent, contextual memory across extended interactions, limiting their ability to provide personalized and contextually relevant responses. This paper presents …
Entity ResolutionAdvances in Logic-Based Entity Resolution: Enhancing ASPEN with Local Merges and Optimality Criteria
In this paper, we present ASPEN+, which extends an existing ASP-based system, ASPEN,for collective entity resolution with two important functionalities: support for local merges and new optimality criteria for preferred …
Entity ResolutionOmni Geometry Representation Learning vs Large Language Models for Geospatial Entity Resolution
The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points-of-interest (POIs) has bee…
Representation LearningEntity ResolutionA Robust and Efficient Pipeline for Enterprise-Level Large-Scale Entity Resolution
Entity resolution (ER) remains a significant challenge in data management, especially when dealing with large datasets. This paper introduces MERAI (Massive Entity Resolution using AI), a robust and efficient pipeline de…
Entity ResolutionLarge-scale entity resolution via microclustering Ewens--Pitman random partitions
We introduce the microclustering Ewens--Pitman model for random partitions, obtained by scaling the strength parameter of the Ewens--Pitman model linearly with the sample size. The resulting random partition is shown to …
Entity ResolutionChatPD: An LLM-driven Paper-Dataset Networking System
Scientific research heavily depends on suitable datasets for method validation, but existing academic platforms with dataset management like PapersWithCode suffer from inefficiencies in their manual workflow. To overcome…
Entity ResolutionOpen Information ExtractionAutomated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information
In this document, we discuss a multi-step approach to automated construction of a knowledge graph, for structuring and representing domain-specific knowledge from large document corpora. We apply our method to build the …
Entity Resolutionnamed-entity-recognitionNamed Entity RecognitionNatural Language Queries+1Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval
In recent years, Large Language Models (LLMs) have enabled users to provide highly specific music recommendation requests using natural language prompts (e.g. "Can you recommend some old classics for slow dancing?"). In …
Entity ResolutionMusic RecommendationRetrievalFrom Documents to Dialogue: Building KG-RAG Enhanced AI Assistants
The Adobe Experience Platform AI Assistant is a conversational tool that enables organizations to interact seamlessly with proprietary enterprise data through a chatbot. However, due to access restrictions, Large Languag…
ChatbotEntity ResolutionRAGRetrieval-augmented GenerationLeveraging User-Generated Metadata of Online Videos for Cover Song Identification
YouTube is a rich source of cover songs. Since the platform itself is organized in terms of videos rather than songs, the retrieval of covers is not trivial. The field of cover song identification addresses this problem …
Cover song identificationEntity ResolutionRetrievalLeveraging large language models for efficient representation learning for entity resolution
In this paper, the authors propose TriBERTa, a supervised entity resolution system that utilizes a pre-trained large language model and a triplet loss function to learn representations for entity matching. The system con…
BlockingContrastive LearningEntity ResolutionLanguage Modeling+5Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution
In this work, we present two systems -- Named Entity Resolution (NER) and Natural Language Inference (NLI) -- for detecting legal violations within unstructured textual data and for associating these violations with pote…
Entity ResolutionNatural Language InferenceNERGem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions
Embeddings are now used to underpin a wide variety of data management tasks, including entity resolution, dataset search and semantic type detection. Such applications often involve datasets with numerical columns, but t…
AttributeEntity ResolutionT-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework
Entity resolution (ER) is the process of determining whether two representations refer to the same real-world entity and plays a crucial role in data curation and data cleaning. Recent studies have introduced the KAER fr…
Entity ResolutionLearning variant product relationship and variation attributes from e-commerce website structures
We introduce VARM, variant relationship matcher strategy, to identify pairs of variant products in e-commerce catalogs. Traditional definitions of entity resolution are concerned with whether product mentions refer to th…
Entity ResolutionRAG