Entity Linking

109 papers with code • 16 benchmarks • 18 datasets

Assigning a unique identity to entities (such as famous individuals, locations, or companies) mentioned in text (Source: Wikipedia).

Greatest papers with code

Named Entity Recognition with Bidirectional LSTM-CNNs

zalandoresearch/flair TACL 2016

Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance.

Entity Linking Feature Engineering +2

Robustness Gym: Unifying the NLP Evaluation Landscape

makcedward/nlpaug NAACL 2021

Despite impressive performance on standard benchmarks, deep neural networks are often brittle when deployed in real-world systems.

Entity Linking Platform

ERNIE: Enhanced Language Representation with Informative Entities

thunlp/ERNIE ACL 2019

Neural language representation models such as BERT pre-trained on large-scale corpora can well capture rich semantic patterns from plain text, and be fine-tuned to consistently improve the performance of various NLP tasks.

Entity Linking Entity Typing +5

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 Disambiguation Entity Linking

Efficient One-Pass End-to-End Entity Linking for Questions

facebookresearch/BLINK EMNLP 2020

We present ELQ, a fast end-to-end entity linking model for questions, which uses a biencoder to jointly perform mention detection and linking in one pass.

Entity Linking Question Answering

Scalable Zero-shot Entity Linking with Dense Entity Retrieval

facebookresearch/BLINK EMNLP 2020

This paper introduces a conceptually simple, scalable, and highly effective BERT-based entity linking model, along with an extensive evaluation of its accuracy-speed trade-off.

Entity Embeddings Entity Linking +2

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.

Entity Disambiguation Entity Embeddings +2

KILT: a Benchmark for Knowledge Intensive Language Tasks

facebookresearch/KILT NAACL 2021

We test both task-specific and general baselines, evaluating downstream performance in addition to the ability of the models to provide provenance.

Entity Linking Fact Checking +4

Multilingual Autoregressive Entity Linking

facebookresearch/GENRE 23 Mar 2021

Moreover, in a zero-shot setting on languages with no training data at all, mGENRE treats the target language as a latent variable that is marginalized at prediction time.

Entity Linking

Autoregressive Entity Retrieval

facebookresearch/GENRE ICLR 2021

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

Entity Disambiguation Entity Linking +2