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Entity Disambiguation is the task of linking mentions of ambiguous entities to their referent entities in a knowledge base such as Wikipedia.

Source: Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation

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Latest papers without code

KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System

11 Dec 2020

We introduce KOSMOS, a knowledge retrieval system based on the constructed knowledge graph of social media and mainstream media documents.

ENTITY DISAMBIGUATION

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation

20 Oct 2020

A challenge for named entity disambiguation (NED), the task of mapping textual mentions to entities in a knowledge base, is how to disambiguate entities that appear rarely in the training data, termed tail entities.

ENTITY DISAMBIGUATION RELATION EXTRACTION

Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach

24 Mar 2020

In this paper, we present SoftwareKG - a knowledge graph that contains information about software mentions from more than 51, 000 scientific articles from the social sciences.

ENTITY DISAMBIGUATION NAMED ENTITY RECOGNITION

End-to-End Entity Linking and Disambiguation leveraging Word and Knowledge Graph Embeddings

25 Feb 2020

Entity linking - connecting entity mentions in a natural language utterance to knowledge graph (KG) entities is a crucial step for question answering over KGs.

ENTITY DISAMBIGUATION ENTITY LINKING KNOWLEDGE GRAPH EMBEDDINGS QUESTION ANSWERING WORD EMBEDDINGS

Is Aligning Embedding Spaces a Challenging Task? A Study on Heterogeneous Embedding Alignment Methods

21 Feb 2020

Representation Learning of words and Knowledge Graphs (KG) into low dimensional vector spaces along with its applications to many real-world scenarios have recently gained momentum.

ENTITY DISAMBIGUATION KNOWLEDGE GRAPH COMPLETION QUESTION ANSWERING REPRESENTATION LEARNING

LATTE: Latent Type Modeling for Biomedical Entity Linking

21 Nov 2019

This is of significant importance in the biomedical domain, where it could be used to semantically annotate a large volume of clinical records and biomedical literature, to standardized concepts described in an ontology such as Unified Medical Language System (UMLS).

ENTITY DISAMBIGUATION ENTITY LINKING

Contextualized End-to-End Neural Entity Linking

10 Nov 2019

We propose yet another entity linking model (YELM) which links words to entities instead of spans.

ENTITY DISAMBIGUATION ENTITY LINKING WORD EMBEDDINGS

Global Entity Disambiguation with Pretrained Contextualized Embeddings of Words and Entities

1 Sep 2019

We propose a new global entity disambiguation (ED) model based on contextualized embeddings of words and entities.

ENTITY DISAMBIGUATION LANGUAGE MODELLING