About

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

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Datasets

Greatest papers with code

Named Entity Recognition with Bidirectional LSTM-CNNs

TACL 2016 zalandoresearch/flair

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 NAMED ENTITY RECOGNITION WORD EMBEDDINGS

Robustness Gym: Unifying the NLP Evaluation Landscape

13 Jan 2021makcedward/nlpaug

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

ENTITY LINKING

ERNIE: Enhanced Language Representation with Informative Entities

ACL 2019 thunlp/ERNIE

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 KNOWLEDGE GRAPHS LINGUISTIC ACCEPTABILITY NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SENTIMENT ANALYSIS

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

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

EMNLP 2020 facebookresearch/BLINK

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

EMNLP 2020 facebookresearch/BLINK

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 KNOWLEDGE DISTILLATION

DeepType: Multilingual Entity Linking by Neural Type System Evolution

3 Feb 2018openai/deeptype

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 ENTITY LINKING STOCHASTIC OPTIMIZATION

KILT: a Benchmark for Knowledge Intensive Language Tasks

4 Sep 2020facebookresearch/KILT

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 VERIFICATION OPEN-DOMAIN DIALOG OPEN-DOMAIN QUESTION ANSWERING SLOT FILLING

Multilingual Autoregressive Entity Linking

23 Mar 2021facebookresearch/GENRE

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

ICLR 2021 facebookresearch/GENRE

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

ENTITY DISAMBIGUATION ENTITY LINKING OPEN-DOMAIN QUESTION ANSWERING