Nested Named Entity Recognition
44 papers with code • 6 benchmarks • 11 datasets
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
These leaderboards are used to track progress in Nested Named Entity Recognition
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Datasets
GENIA
ACE 2005
ACE 2004
NNE
GUM
Chilean Waiting List
The QUAERO French Medical Corpus
Latest papers with no code
In-Context Learning for Few-Shot Nested Named Entity Recognition
In nested Named entity recognition (NER), entities are nested with each other, and thus requiring more data annotations to address.
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition
Existing works for nested NER ignore the recognition order and boundary position relation of nested entities.
A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents
Our results show that while nested NER approaches enable extracting structured data directly, they do not benefit from the extra knowledge provided during training and reach a performance similar to the base approach on flat entities.
Few-Shot Nested Named Entity Recognition
Leveraging contextual dependency to distinguish nested entities, we propose a Biaffine-based Contrastive Learning (BCL) framework.
Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes
Nested Named Entity Recognition (NNER) has been a long-term challenge to researchers as an important sub-area of Named Entity Recognition.
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research.
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)
Span-based nested named-entity recognition (NER) has a cubic-time complexity using a variant of the CYK algorithm.
Local Hypergraph-based Nested Named Entity Recognition as Query-based Sequence Labeling
There has been a growing academic interest in the recognition of nested named entities in many domains.
Nested Named Entity Recognition as Holistic Structure Parsing
Thus in order to address this mismatch, this work models the full nested NEs in a sentence as a holistic structure, then we propose a holistic structure parsing algorithm to disclose the entire NEs once for all.
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition
Nested named entity recognition (NER) aims to identify the entity boundaries and recognize categories of the named entities in a complex hierarchical sentence.
