NER

270 papers with code • 1 benchmarks • 2 datasets

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Greatest papers with code

Unsupervised Cross-lingual Representation Learning at Scale

huggingface/transformers ACL 2020

We also present a detailed empirical analysis of the key factors that are required to achieve these gains, including the trade-offs between (1) positive transfer and capacity dilution and (2) the performance of high and low resource languages at scale.

Cross-Lingual Transfer Language Modelling +2

FLERT: Document-Level Features for Named Entity Recognition

flairNLP/flair 13 Nov 2020

Current state-of-the-art approaches for named entity recognition (NER) typically consider text at the sentence-level and thus do not model information that crosses sentence boundaries.

Named Entity Recognition NER

HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition

flairNLP/flair 17 Aug 2020

Summary: Named Entity Recognition (NER) is an important step in biomedical information extraction pipelines.

Named Entity Recognition NER

Semi-supervised sequence tagging with bidirectional language models

flairNLP/flair ACL 2017

Pre-trained word embeddings learned from unlabeled text have become a standard component of neural network architectures for NLP tasks.

Chunking Named Entity Recognition +1

Neural Architectures for Named Entity Recognition

flairNLP/flair NAACL 2016

State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to learn effectively from the small, supervised training corpora that are available.

Named Entity Recognition NER

Pooled Contextualized Embeddings for Named Entity Recognition

zalandoresearch/flair NAACL 2019

We make all code and pre-trained models available to the research community for use and reproduction.

Named Entity Recognition NER

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

deepmipt/DeepPavlov 27 Sep 2017

Named Entity Recognition (NER) is one of the most common tasks of the natural language processing.

Named Entity Recognition NER +1

TENER: Adapting Transformer Encoder for Named Entity Recognition

HIT-SCIR/ltp 10 Nov 2019

The Bidirectional long short-term memory networks (BiLSTM) have been widely used as an encoder in models solving the named entity recognition (NER) task.

Chinese Named Entity Recognition NER

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

guillaumegenthial/sequence_tagging ACL 2016

State-of-the-art sequence labeling systems traditionally require large amounts of task-specific knowledge in the form of hand-crafted features and data pre-processing.

Feature Engineering Named Entity Recognition +3

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

PaddlePaddle/PaddleNLP 31 Aug 2019

The pre-trained language models have achieved great successes in various natural language understanding (NLU) tasks due to its capacity to capture the deep contextualized information in text by pre-training on large-scale corpora.

Named Entity Recognition Natural Language Inference +3