Nested Named Entity Recognition Edit Task
Natural Language Processing • Named Entity Recognition
About
Nested named entity recognition is a subtask of information extraction that seeks to locate and classify nested named entities (i.e., hierarchically structured entities) mentioned in unstructured text (Source: Adapted from Wikipedia).
Benchmarks
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Latest papers with code
An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
• lavis-nlp/jerex
• 
We present a joint model for entity-level relation extraction from documents.
Ranked #6 on
Relation Extraction
on DocRED
COREFERENCE RESOLUTION NESTED NAMED ENTITY RECOGNITION RELATION EXTRACTION
Nested Named Entity Recognition with Partially-Observed TreeCRFs
• FranxYao/Partially-Observed-TreeCRFs
•
With the TreeCRF we achieve a uniform way to jointly model the observed and the latent nodes.
Pyramid: A Layered Model for Nested Named Entity Recognition
ACL 2020
• LorrinWWW/Pyramid
•
Its hidden state at layer l represents an l-gram in the input text, which is labeled only if its corresponding text region represents a complete entity mention.
Ranked #2 on
Nested Named Entity Recognition
on GENIA
(using extra training data)
Bipartite Flat-Graph Network for Nested Named Entity Recognition
In this paper, we propose a novel bipartite flat-graph network (BiFlaG) for nested named entity recognition (NER), which contains two subgraph modules: a flat NER module for outermost entities and a graph module for all the entities located in inner layers.
Ranked #5 on
Nested Mention Recognition
on ACE 2005
A Boundary-aware Neural Model for Nested Named Entity Recognition
IJCNLP 2019
• thecharm/boundary-aware-nested-ner
•
We propose a boundary-aware neural model for nested NER which leverages entity boundaries to predict entity categorical labels.
Ranked #8 on
Named Entity Recognition
on GENIA
A Unified MRC Framework for Named Entity Recognition
ACL 2020
• ShannonAI/mrc-for-flat-nested-ner
•
Instead of treating the task of NER as a sequence labeling problem, we propose to formulate it as a machine reading comprehension (MRC) task.
Ranked #1 on
Named Entity Recognition
on ACE 2005
(using extra training data)
CHINESE NAMED ENTITY RECOGNITION ENTITY EXTRACTION USING GAN MACHINE READING COMPREHENSION NESTED MENTION RECOGNITION NESTED NAMED ENTITY RECOGNITION
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019
Our RE system ranked first in the SeeDev-binary Relation Extraction Task with F1-score of 0. 3738.
Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
• yahshibu/nested-ner-tacl2020-transformers
•
When an entity name contains other names within it, the identification of all combinations of names can become difficult and expensive.
Ranked #1 on
Nested Named Entity Recognition
on ACE 2004
(using extra training data)
Neural Architectures for Nested NER through Linearization
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.
Ranked #2 on
Nested Mention Recognition
on ACE 2005
Merge and Label: A novel neural network architecture for nested NER
ACL 2019
• fishjh2/merge_label
•
Named entity recognition (NER) is one of the best studied tasks in natural language processing.
Ranked #3 on
Nested Mention Recognition
on ACE 2005
ENTITY EMBEDDINGS NESTED MENTION RECOGNITION NESTED NAMED ENTITY RECOGNITION