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
Most implemented papers
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition
tricktreat/locate-and-label
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ACL 2021
Although these methods have the innate ability to handle nested NER, they suffer from high computational cost, ignorance of boundary information, under-utilization of the spans that partially match with entities, and difficulties in long entity recognition.
A Sequence-to-Set Network for Nested Named Entity Recognition
We utilize a non-autoregressive decoder to predict the final set of entities in one pass, in which we are able to capture dependencies between entities.
A Unified Generative Framework for Various NER Subtasks
yhcc/BARTNER
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ACL 2021
To that end, we propose to formulate the NER subtasks as an entity span sequence generation task, which can be solved by a unified sequence-to-sequence (Seq2Seq) framework.
Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path
speedcell4/nersted
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ACL 2021
This paper presents a novel method for nested named entity recognition.
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks
sustcsonglin/pointer-net-for-nested
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ACL 2022
Constituency parsing and nested named entity recognition (NER) are similar tasks since they both aim to predict a collection of nested and non-crossing spans.
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition
GanjinZero/Triaffine-nested-ner
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Findings (ACL) 2022
To fuse these heterogeneous factors, we propose a novel triaffine mechanism including triaffine attention and scoring.
Unified Named Entity Recognition as Word-Word Relation Classification
ljynlp/w2ner
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So far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka.
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing
louchao98/nner_as_parsing
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ACL 2022
They treat nested entities as partially-observed constituency trees and propose the masked inside algorithm for partial marginalization.
Parallel Instance Query Network for Named Entity Recognition
Each instance query predicts one entity, and by feeding all instance queries simultaneously, we can query all entities in parallel.
Automatic Extraction of Nested Entities in Clinical Referrals in Spanish
plncmm/acm_health_msen
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ACM Transactions on Computing for Healthcare 2022
The annotated corpus, clinical word embeddings, annotation guidelines, and neural models are freely released to the community.
