About

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

Benchmarks

Greatest papers with code

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

CONLL 2016 wikipedia2vec/wikipedia2vec

The KB graph model learns the relatedness of entities using the link structure of the KB, whereas the anchor context model aims to align vectors such that similar words and entities occur close to one another in the vector space by leveraging KB anchors and their context words.

ENTITY DISAMBIGUATION ENTITY LINKING

Deep Joint Entity Disambiguation with Local Neural Attention

EMNLP 2017 dalab/deep-ed

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

ENTITY DISAMBIGUATION

End-to-End Neural Entity Linking

CONLL 2018 dalab/end2end_neural_el

Entity Linking (EL) is an essential task for semantic text understanding and information extraction.

ENTITY DISAMBIGUATION ENTITY EMBEDDINGS ENTITY LINKING

Entity Disambiguation with Web Links

TACL 2015 wikilinks/nel

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

ENTITY DISAMBIGUATION ENTITY LINKING KNOWLEDGE BASE POPULATION

Autoregressive Entity Retrieval

ICLR 2021 facebookresearch/GENRE

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

ENTITY DISAMBIGUATION ENTITY LINKING OPEN-DOMAIN QUESTION ANSWERING

Studying the Wikipedia Hyperlink Graph for Relatedness and Disambiguation

5 Mar 2015asoroa/ukb

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

ENTITY DISAMBIGUATION

Learning Distributed Representations of Texts and Entities from Knowledge Base

TACL 2017 studio-ousia/ntee

Given a text in the KB, we train our proposed model to predict entities that are relevant to the text.

 Ranked #1 on Entity Linking on AIDA-CoNLL (Accuracy metric)

ENTITY DISAMBIGUATION ENTITY LINKING QUESTION ANSWERING

Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories

SEMEVAL 2018 UKPLab/starsem2018-entity-linking

We investigate entity linking in the context of a question answering task and present a jointly optimized neural architecture for entity mention detection and entity disambiguation that models the surrounding context on different levels of granularity.

ENTITY DISAMBIGUATION ENTITY LINKING KNOWLEDGE BASE QUESTION ANSWERING

Probabilistic Bag-Of-Hyperlinks Model for Entity Linking

8 Sep 2015dalab/pboh-entity-linking

We here propose a probabilistic approach that makes use of an effective graphical model to perform collective entity disambiguation.

ENTITY DISAMBIGUATION ENTITY LINKING FEATURE ENGINEERING MACHINE TRANSLATION