named-entity-recognition

892 papers with code • 0 benchmarks • 2 datasets

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Libraries

Use these libraries to find named-entity-recognition models and implementations

Most implemented papers

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.

CrossNER: Evaluating Cross-Domain Named Entity Recognition

zliucr/CrossNER 8 Dec 2020

Cross-domain named entity recognition (NER) models are able to cope with the scarcity issue of NER samples in target domains.

Entity, Relation, and Event Extraction with Contextualized Span Representations

dwadden/dygiepp IJCNLP 2019

We examine the capabilities of a unified, multi-task framework for three information extraction tasks: named entity recognition, relation extraction, and event extraction.

Dice Loss for Data-imbalanced NLP Tasks

ShannonAI/dice_loss_for_NLP ACL 2020

Many NLP tasks such as tagging and machine reading comprehension are faced with the severe data imbalance issue: negative examples significantly outnumber positive examples, and the huge number of background examples (or easy-negative examples) overwhelms the training.

KLUE: Korean Language Understanding Evaluation

KLUE-benchmark/KLUE 20 May 2021

We introduce Korean Language Understanding Evaluation (KLUE) benchmark.

Empower Sequence Labeling with Task-Aware Neural Language Model

LiyuanLucasLiu/LM-LSTM-CRF 13 Sep 2017

In this study, we develop a novel neural framework to extract abundant knowledge hidden in raw texts to empower the sequence labeling task.

LINSPECTOR: Multilingual Probing Tasks for Word Representations

UKPLab/linspector CL 2020

We present a reusable methodology for creation and evaluation of such tests in a multilingual setting.

Advancing NLP with Cognitive Language Processing Signals

DS3Lab/zuco-nlp 4 Apr 2019

Cognitive language processing data such as eye-tracking features have shown improvements on single NLP tasks.

Nested Named Entity Recognition via Second-best Sequence Learning and Decoding

yahshibu/nested-ner-tacl2020-transformers 5 Sep 2019

When an entity name contains other names within it, the identification of all combinations of names can become difficult and expensive.

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese

CLUEbenchmark/CLUENER2020 13 Jan 2020

In this paper, we introduce the NER dataset from CLUE organization (CLUENER2020), a well-defined fine-grained dataset for named entity recognition in Chinese.