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Nested Named Entity Recognition

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).

Papers

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Showing 1–50 of 81 papers

TitleStatusHype
Named Entity Recognition as Dependency ParsingCode1
Wojood: Nested Arabic Named Entity Corpus and Recognition using BERTCode1
A Neural Transition-based Model for Nested Mention RecognitionCode1
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity RecognitionCode1
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive LearningCode1
Parallel Instance Query Network for Named Entity RecognitionCode1
PromptNER: Prompt Locating and Typing for Named Entity RecognitionCode1
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity RecognitionCode1
Pyramid: A Layered Model for Nested Named Entity RecognitionCode1
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
RuNNE-2022 Shared Task: Recognizing Nested Named EntitiesCode1
A Unified Generative Framework for Various NER SubtasksCode1
A Unified MRC Framework for Named Entity RecognitionCode1
Structured Prediction as Translation between Augmented Natural LanguagesCode1
Thai Nested Named Entity Recognition CorpusCode1
BioBART: Pretraining and Evaluation of A Biomedical Generative Language ModelCode1
Unified Named Entity Recognition as Word-Word Relation ClassificationCode1
Bipartite Flat-Graph Network for Nested Named Entity RecognitionCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
Boundary Smoothing for Named Entity RecognitionCode1
Locate and Label: A Two-stage Identifier for Nested Named Entity RecognitionCode1
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
Nested Named Entity Recognition as Latent Lexicalized Constituency ParsingCode1
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
An End-to-end Model for Entity-level Relation Extraction using Multi-instance LearningCode1
End-to-End Entity Detection with Proposer and RegressorCode1
Nested Named Entity Recognition with Partially-Observed TreeCRFsCode1
A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation CampaignCode0
Type-supervised sequence labeling based on the heterogeneous star graph for named entity recognitionCode0
DepNeCTI: Dependency-based Nested Compound Type Identification for SanskritCode0
Merge and Label: A novel neural network architecture for nested NERCode0
Methods for Recognizing Nested TermsCode0
A Boundary Regression Model for Nested Named Entity RecognitionCode0
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region NetworksCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best PathCode0
Nested Named Entity Recognition via Second-best Sequence Learning and DecodingCode0
Comparing and combining some popular NER approaches on Biomedical tasksCode0
Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity RecognitionCode0
Neural Architectures for Nested NER through LinearizationCode0
Neural Segmental Hypergraphs for Overlapping Mention RecognitionCode0
Automatic Extraction of Nested Entities in Clinical Referrals in SpanishCode0
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019Code0
Multi-Grained Named Entity RecognitionCode0
To be Continuous, or to be Discrete, Those are Bits of QuestionsCode0
A Boundary-aware Neural Model for Nested Named Entity RecognitionCode0
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing—0
A Benchmark of Nested Named Entity Recognition Approaches in Historical Structured Documents—0
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)—0
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge—0
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