Entity Disambiguation

56 papers with code • 10 benchmarks • 10 datasets

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

Most implemented papers

Deep Joint Entity Disambiguation with Local Neural Attention

dalab/deep-ed EMNLP 2017

We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations.

EntEval: A Holistic Evaluation Benchmark for Entity Representations

ZeweiChu/EntEval IJCNLP 2019

Rich entity representations are useful for a wide class of problems involving entities.

Learning Dynamic Context Augmentation for Global Entity Linking

YoungXiyuan/DCA IJCNLP 2019

Despite of the recent success of collective entity linking (EL) methods, these "global" inference methods may yield sub-optimal results when the "all-mention coherence" assumption breaks, and often suffer from high computational cost at the inference stage, due to the complex search space.

Autoregressive Entity Retrieval

facebookresearch/GENRE ICLR 2021

For instance, Encyclopedias such as Wikipedia are structured by entities (e. g., one per Wikipedia article).

Biomedical Interpretable Entity Representations

diegoolano/biomedical_interpretable_entity_representations Findings (ACL) 2021

Pre-trained language models induce dense entity representations that offer strong performance on entity-centric NLP tasks, but such representations are not immediately interpretable.

ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking

amazon-research/ReFinED NAACL (ACL) 2022

The model is capable of generalising to large-scale knowledge bases such as Wikidata (which has 15 times more entities than Wikipedia) and of zero-shot entity linking.

Improving Entity Disambiguation by Reasoning over a Knowledge Base

alexa/refined NAACL 2022

Recent work in entity disambiguation (ED) has typically neglected structured knowledge base (KB) facts, and instead relied on a limited subset of KB information, such as entity descriptions or types.

Entity Disambiguation with Web Links

wikilinks/nel TACL 2015

Entity disambiguation with Wikipedia relies on structured information from redirect pages, article text, inter-article links, and categories.

Studying the Wikipedia Hyperlink Graph for Relatedness and Disambiguation

asoroa/ukb 5 Mar 2015

Hyperlinks and other relations in Wikipedia are a extraordinary resource which is still not fully understood.