Papers Entity Resolution
“Entity Resolution” 태그가 달린 논문 214편 · 필터 해제
BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali)
Recognizing biomedical entities in the text has significance in biomedical and health science research, as it benefits myriad downstream tasks, including entity linking, relation extraction, or entity resolution. While E…
AnatomyArticlesEntity LinkingEntity Resolution+2A Survey on Efficient Processing of Similarity Queries over Neural Embeddings
Similarity query is the family of queries based on some similarity metrics. Unlike the traditional database queries which are mostly based on value equality, similarity queries aim to find targets "similar enough to" the…
Entity ResolutionInformation RetrievalRetrievalA Critical Re-evaluation of Neural Methods for Entity Alignment
Neural methods have become the de-facto choice for the vast majority of data analysis tasks, and entity alignment (EA) is no exception. Not surprisingly, more than 50 different neural EA methods have been published since…
Entity AlignmentEntity ResolutionFairnessAnalyzing how BERT performs entity matching
State-of-the-art Entity Matching (EM) approaches rely on transformer architectures, such as BERT, for generating highly contex-tualized embeddings of terms. The embeddings are then used to predict whether pairs of entity…
Entity ResolutionSemantic SimilaritySemantic Textual SimilarityEffective Explanations for Entity Resolution Models
Entity resolution (ER) aims at matching records that refer to the same real-world entity. Although widely studied for the last 50 years, ER still represents a challenging data management problem, and several recent works…
AttributecounterfactualEntity ResolutionManagementSupervised Contrastive Learning for Product Matching
Contrastive learning has moved the state of the art for many tasks in computer vision and information retrieval in recent years. This poster is the first work that applies supervised contrastive learning to the task of p…
Contrastive LearningData AugmentationEntity ResolutionInformation Retrieval+1Why the Rich Get Richer? On the Balancedness of Random Partition Models
Random partition models are widely used in Bayesian methods for various clustering tasks, such as mixture models, topic models, and community detection problems. While the number of clusters induced by random partition m…
Community DetectionEntity ResolutionTopic ModelsActive Gradual Machine Learning for Entity Resolution
Recent work has shown that the task of entity resolution (ER) can be effectively performed by gradual machine learning (GML). GML begins with some easy instances, which can be automatically labeled by the machine with hi…
Active LearningBIG-bench Machine LearningEntity ResolutionUnsupervised Matching of Data and Text
Entity resolution is a widely studied problem with several proposals to match records across relations. Matching textual content is a widespread task in many applications, such as question answering and search. While rec…
Entity ResolutionQuestion AnsweringvalidWord EmbeddingsGraph-based hierarchical record clustering for unsupervised entity resolution
Here we study the problem of matched record clustering in unsupervised entity resolution. We build upon a state-of-the-art probabilistic framework named the Data Washing Machine (DWM). We introduce a graph-based hierarch…
ClusteringEntity ResolutionMultidimensional Assignment Problem for multipartite entity resolution
Multipartite entity resolution aims at integrating records from multiple datasets into one entity. We derive a mathematical formulation for a general class of record linkage problems in multipartite entity resolution acr…
Combinatorial OptimizationEntity ResolutionCombining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution
The distribution gap between training datasets and data encountered in production is well acknowledged. Training datasets are often constructed over a fixed period of time and by carefully curating the data to be labeled…
Entity ResolutionA Weak Self-supervision with Transition-Based Modeling for Reference Resolution
The reference resolution is a task to find the link between an entity and its source action in the same recipe. In this study, we introduce a weak self-supervision method with a transition-based model for reference resol…
Entity ResolutionEm-K Indexing for Approximate Query Matching in Large-scale ER
Accurate and efficient entity resolution (ER) is a significant challenge in many data mining and analysis projects requiring integrating and processing massive data collections. It is becoming increasingly important in r…
BlockingEntity ResolutionResources and Evaluations for Danish Entity Resolution
Automatic coreference resolution is understudied in Danish even though most of the Danish Dependency Treebank (Buch-Kromann, 2003) is annotated with coreference relations. This paper describes a conversion of its partial…
coreference-resolutionCoreference ResolutionEntity DisambiguationEntity Linking+1FairER: Entity Resolution with Fairness Constraints
One of the most critical tasks for improving data quality and increasing the reliability of data analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to the same real-world entity…
DiversityEntity ResolutionFairnessCross-Language Learning for Entity Matching
Transformer-based entity matching methods have significantly moved the state of the art for less-structured matching tasks such as matching product offers in e-commerce. In order to excel at these tasks, Transformer-base…
Cross-Lingual TransferEntity ResolutionGraph-boosted Active Learning for Multi-Source Entity Resolution
Supervised entity resolution methods rely on labeled record pairs for learning matching patterns between two or more data sources. Active learning minimizes the labeling effort by selecting informative pairs for labeling…
Active LearningEntity ResolutionEnd-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs
Recently, end-to-end (E2E) trained models for question answering over knowledge graphs (KGQA) have delivered promising results using only a weakly supervised dataset. However, these models are trained and evaluated in a …
Entity ResolutionKnowledge GraphsQuestion AnsweringPersonalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations
The growing popularity of Virtual Assistants poses new challenges for Entity Resolution, the task of linking mentions in text to their referent entities in a knowledge base. Specifically, in the shopping domain, customer…
Entity ResolutionReranking