Papers Entity Resolution
“Entity Resolution” 태그가 달린 논문 214편 · 필터 해제
Clustering Via Crowdsourcing
In recent years, crowdsourcing, aka human aided computation has emerged as an effective platform for solving problems that are considered complex for machines alone. Using human is time-consuming and costly due to moneta…
ClusteringEntity ResolutionFast Learning from Distributed Datasets without Entity Matching
Consider the following data fusion scenario: two datasets/peers contain the same real-world entities described using partially shared features, e.g. banking and insurance company records of the same customer base. Our go…
Entity ResolutionExploiting Lists of Names for Named Entity Identification of Financial Institutions from Unstructured Documents
There is a wealth of information about financial systems that is embedded in document collections. In this paper, we focus on a specialized text extraction task for this domain. The objective is to extract mentions of na…
Entity Resolutionnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+1ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution
Entity resolution (ER), an important and common data cleaning problem, is about detecting data duplicate representations for the same external entities, and merging them into single representations. Relatively recently, …
AttributeBIG-bench Machine LearningBlockingEntity ResolutionMicroclustering: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
Most generative models for clustering implicitly assume that the number of data points in each cluster grows linearly with the total number of data points. Finite mixture models, Dirichlet process mixture models, and Pit…
ClusteringEntity ResolutionA Practioner's Guide to Evaluating Entity Resolution Results
Entity resolution (ER) is the task of identifying records belonging to the same entity (e.g. individual, group) across one or multiple databases. Ironically, it has multiple names: deduplication and record linkage, among…
ClusteringEntity ResolutionGeneral ClassificationMulti-class ClassificationPerformance Bounds for Pairwise Entity Resolution
One significant challenge to scaling entity resolution algorithms to massive datasets is understanding how performance changes after moving beyond the realm of small, manually labeled reference datasets. Unlike tradition…
BIG-bench Machine LearningEntity ResolutionERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution
Entity resolution (ER), an important and common data cleaning problem, is about detecting data duplicate representations for the same external entities, and merging them into single representations. Relatively recently, …
AttributeBIG-bench Machine LearningBlockingEntity ResolutionMarkov Logic Networks for Natural Language Question Answering
Our goal is to answer elementary-level science questions using knowledge extracted automatically from science textbooks, expressed in a subset of first-order logic. Given the incomplete and noisy nature of these automati…
Entity ResolutionQuestion AnsweringSemantically Smooth Knowledge Graph Embedding
SPINOZA\_VU: An NLP Pipeline for Cross Document TimeLines
Plato: A Selective Context Model for Entity Resolution
We present Plato, a probabilistic model for entity resolution that includes a novel approach for handling noisy or uninformative features, and supplements labeled training data derived from Wikipedia with a very large un…
Entity LinkingEntity ResolutionResolution of Difficult Pronouns Using the ROSS Method
A new natural language understanding method for disambiguation of difficult pronouns is described. Difficult pronouns are those pronouns for which a level of world or domain knowledge is needed in order to perform anapho…
Entity ResolutionNatural Language UnderstandingValidation of Matching
We introduce a technique to compute probably approximately correct (PAC) bounds on precision and recall for matching algorithms. The bounds require some verified matches, but those matches may be used to develop the algo…
Entity ResolutionVariational Bayes for Merging Noisy Databases
Bayesian entity resolution merges together multiple, noisy databases and returns the minimal collection of unique individuals represented, together with their true, latent record values. Bayesian methods allow flexible g…
Bayesian InferenceEntity ResolutionLearning Alternative Name Spellings
Name matching is a key component of systems for entity resolution or record linkage. Alternative spellings of the same names are a com- mon occurrence in many applications. We use the largest collection of genealogy pers…
Entity ResolutionMachine TranslationRetrievalTranslationCan Crowdsourcing be used for Effective Annotation of Arabic?
Crowdsourcing has been used recently as an alternative to traditional costly annotation by many natural language processing groups. In this paper, we explore the use of Amazon Mechanical Turk (AMT) in order to assess the…
Entity ResolutionMultiple-choiceNatural Language InferencePart-Of-Speech Tagging+3Improving Entity Linking using Surface Form Refinement
In this paper, we present an algorithm for improving named entity resolution and entity linking by using surface form generation and rewriting. Surface forms consist of a word or a group of words that matches lexical uni…
Entity LinkingEntity ResolutionFormNamed Entity Recognition (NER)+1Lexicon Infused Phrase Embeddings for Named Entity Resolution
Most state-of-the-art approaches for named-entity recognition (NER) use semi supervised information in the form of word clusters and lexicons. Recently neural network-based language models have been explored, as they as …
Entity ResolutionFormLearning Word Embeddingsnamed-entity-recognition+4