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Open benchmark for filtering techniques in entity resolution
Entity Resolution identifies entity profiles that represent the same real-world object. A brute-force approach that considers all pairs of entities...
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Semantic-aware entity alignment for low resource language knowledge graph
Entity alignment (EA) is an important technique aiming to find the same real entity between two different source knowledge graphs (KGs). Current...
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Distinct but correct: generating diversified and entity-revised medical response
Medical dialogue generation (MDG) is applied for building medical dialogue systems for intelligent consultation. Such systems can communicate with...
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A chinese named entity recognition method for small-scale dataset based on lexicon and unlabeled data
Recently, using lexicon information to improve the performance of Chinese named entity recognition has been proven to be effective. Moreover, the...
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Entity recognition based on heterogeneous graph reasoning of visual region and text candidate
Entity recognition plays a crucial role in various domains, such as natural language processing, information retrieval, and question-answering...
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Unsupervised Entity Alignment
State-of-the-art entity alignment solutions tend to rely on labeled data for model training. Additionally, they work under the closed-domain setting...
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Enhanced Named Entity Recognition algorithm for financial document verification
Many enterprise systems are document-intensive and require extensive manual verification. The verification process has challenge in terms of time and...
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Chinese Named Entity Recognition Augmented with Lexicon Memory
Inspired by the concept of content-addressable retrieval from cognitive science, we propose a novel fragmentbased Chinese named entity recognition...
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A performant and incremental algorithm for knowledge graph entity ty**
Knowledge Graph Entity Ty** (KGET) is a subtask of knowledge graph completion, which aims at inferring missing entity types by utilizing existing typ...
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Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment
Entity alignment is an essential process in knowledge graph (KG) fusion, which aims to link entities representing the same real-world object in...
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Entity Embeddings for Entity Ranking: A Replicability Study
Knowledge Graph embeddings model semantic and structural knowledge of entities in the context of the Knowledge Graph. A nascent research direction...
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Entity linking for English and other languages: a survey
Extracting named entities text forms the basis for many crucial tasks such as information retrieval and extraction, machine translation, opinion...
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Named Entity Recognition
This chapter provides an overview of named entity recognition (NER) from biomedical text, which is an algorithmic approach to identifying the span of...
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Enhanced Entity Interaction Modeling for Multi-Modal Entity Alignment
Multi-modal Entity Alignment (MMEA) aims to find equivalent entities across different multi-modal knowledge graphs (MMKGs). Most existing methods...
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Knowledge graph embedding via entity and relationship attributes
The translation rule-based TransE model is considered the most promising method due to its low complexity and high computational efficiency. However,...
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Multimodal Entity Alignment
In various tasks related to artificial intelligence, data is often present in multiple forms or modalities. Recently, it has become a popular...
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NeighBERT: Medical Entity Linking Using Relation-Induced Dense Retrieval
One of the common tasks in clinical natural language processing is medical entity linking (MEL) which involves mention detection followed by linking...
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ENER: Named Entity Recognition Model for Ethnic Ancient Books Based on Entity Boundary Detection
Due to the significant differences between the entity identification rules in the field of ethnic ancient books and the existing methods, the general...
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Entity graphs for exploring online discourse
A vast amount of human communication occurs online. These digital traces of natural human communication along with recent advances in natural...
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A multi-facet analysis of BERT-based entity matching models
State-of-the-art Entity Matching approaches rely on transformer architectures, such as BERT , for generating highly contextualized embeddings of...
