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).
Datasets
Latest papers
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity Recognition
In the refine stage, proposals interact with each other, and richer contextual information is incorporated into the proposal representations.
Boundary Smoothing for Named Entity Recognition
Neural named entity recognition (NER) models may easily encounter the over-confidence issue, which degrades the performance and calibration.
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Furthermore, we conduct ablation studies on the pretraining tasks for BioBART and find that sentence permutation has negative effects on downstream tasks.
Automatic Extraction of Nested Entities in Clinical Referrals in Spanish
The annotated corpus, clinical word embeddings, annotation guidelines, and neural models are freely released to the community.
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.
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing
They treat nested entities as partially-observed constituency trees and propose the masked inside algorithm for partial marginalization.
Unified Named Entity Recognition as Word-Word Relation Classification
So far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka.
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition
To fuse these heterogeneous factors, we propose a novel triaffine mechanism including triaffine attention and scoring.
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks
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.
Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path
This paper presents a novel method for nested named entity recognition.