Entity Disambiguation

56 papers with code • 10 benchmarks • 11 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

Probabilistic Bag-Of-Hyperlinks Model for Entity Linking

dalab/pboh-entity-linking 8 Sep 2015

We demonstrate the accuracy of our approach on a wide range of benchmark datasets, showing that it matches, and in many cases outperforms, existing state-of-the-art methods.

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

wikipedia2vec/wikipedia2vec CONLL 2016

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 Linking with a Paraphrase Flavor

masha-p/paraphrase_flavor LREC 2016

The task of Named Entity Linking is to link entity mentions in the document to their correct entries in a knowledge base and to cluster NIL mentions.

Learning Distributed Representations of Texts and Entities from Knowledge Base

studio-ousia/ntee TACL 2017

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

Named Entity Disambiguation for Noisy Text

yotam-happy/NEDforNoisyText CONLL 2017

We address the task of Named Entity Disambiguation (NED) for noisy text.

DeepType: Multilingual Entity Linking by Neural Type System Evolution

openai/deeptype 3 Feb 2018

The wealth of structured (e. g. Wikidata) and unstructured data about the world available today presents an incredible opportunity for tomorrow's Artificial Intelligence.

Collective Entity Disambiguation with Structured Gradient Tree Boosting

bloomberg/sgtb NAACL 2018

To the best of our knowledge, our work is the first one that employs the structured gradient tree boosting (SGTB) algorithm for collective entity disambiguation.

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

UKPLab/starsem2018-entity-linking SEMEVAL 2018

We use the Wikidata knowledge base and available question answering datasets to create benchmarks for entity linking on question answering data.

ELDEN: Improved Entity Linking Using Densified Knowledge Graphs

priyaradhakrishnan0/ELDEN NAACL 2018

Entity Linking (EL) systems aim to automatically map mentions of an entity in text to the corresponding entity in a Knowledge Graph (KG).