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Named Entity Recognition

149 papers with code · Natural Language Processing

Named entity recognition (NER) is the task of tagging entities in text with their corresponding type. Approaches typically use BIO notation, which differentiates the beginning (B) and the inside (I) of entities. O is used for non-entity tokens.

Example:

Mark Watney visited Mars
B-PER I-PER O B-LOC

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Latest papers with code

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

5 Sep 2019yahshibu/nested-ner-2019-bert

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

NESTED MENTION RECOGNITION NESTED NAMED ENTITY RECOGNITION

1
05 Sep 2019

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

3 Sep 2019ZihanWangKi/CrossWeigh

Therefore, we manually correct these label mistakes and form a cleaner test set.

NAMED ENTITY RECOGNITION

2
03 Sep 2019

Remedying BiLSTM-CNN Deficiency in Modeling Cross-Context for NER

29 Aug 2019ckiplab/ckiptagger

Recent researches prevalently used BiLSTM-CNN as a core module for NER in a sequence-labeling setup.

NAMED ENTITY RECOGNITION

987
29 Aug 2019

Exploiting Multiple Embeddings for Chinese Named Entity Recognition

28 Aug 2019WHUIR/ME-CNER

Identifying the named entities mentioned in text would enrich many semantic applications at the downstream level.

CHINESE NAMED ENTITY RECOGNITION

2
28 Aug 2019

A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers

23 Aug 2019Aditi138/EntityTargetedActiveLearning

Most state-of-the-art models for named entity recognition (NER) rely on the availability of large amounts of labeled data, making them challenging to extend to new, lower-resourced languages.

ACTIVE LEARNING CROSS-LINGUAL TRANSFER NAMED ENTITY RECOGNITION TRANSFER LEARNING

5
23 Aug 2019

Neural Architectures for Nested NER through Linearization

ACL 2019 ufal/acl2019_nested_ner

We propose two neural network architectures for nested named entity recognition (NER), a setting in which named entities may overlap and also be labeled with more than one label.

NESTED MENTION RECOGNITION NESTED NAMED ENTITY RECOGNITION

5
19 Aug 2019

Simplify the Usage of Lexicon in Chinese NER

16 Aug 2019v-mipeng/LexiconAugmentedNER

This way, our method can avoid introducing a complicated sequence modeling architecture to model the lexicon information.

CHINESE NAMED ENTITY RECOGNITION

13
16 Aug 2019

Raw-to-End Name Entity Recognition in Social Media

14 Aug 2019LiyuanLucasLiu/Raw-to-End

Our model neither requires the conversion from character sequences to word sequences, nor assumes tokenizer can correctly detect all word boundaries.

NAMED ENTITY RECOGNITION TOKENIZATION

5
14 Aug 2019

BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks

13 Aug 2019shreyashub/BioFLAIR

We also investigate the effects of a small amount of additional pretraining on PubMed content, and of combining FLAIR and ELMO models.

 SOTA for Named Entity Recognition on BC5CDR (using extra training data)

MEDICAL NAMED ENTITY RECOGNITION

2
13 Aug 2019