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Named Entity Recognition

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TitleStatusHype
Training sequence labeling models using prior knowledge—0
Actionable Entities Recognition Benchmark for Interactive FictionCode1
An Enhanced Span-based Decomposition Method for Few-Shot Sequence LabelingCode1
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning—0
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields—0
GERNERMED -- An Open German Medical NER ModelCode1
Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction—0
Named Entity Recognition and Classification on Historical Documents: A SurveyCode1
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial AttackCode0
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder—0
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets—0
reproducing "ner and pos when nothing is capitalized"Code0
The futility of STILTs for the classification of lexical borrowings in Spanish—0
Slot Filling for Biomedical Information ExtractionCode0
Context-NER : Contextual Phrase Generation at ScaleCode1
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity RecognitionCode0
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningCode1
Self-Training with Differentiable Teacher—0
Low-Resource Named Entity Recognition Based on Multi-hop Dependency TriggerCode0
What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey—0
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding—0
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information ExtractionCode1
MDAPT: Multilingual Domain Adaptive Pretraining in a Single ModelCode0
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition ModelsCode1
Clinical Trial Information Extraction with BERT—0
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework—0
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations—0
Efficient Test Time Adapter Ensembling for Low-resource Language VarietiesCode1
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction—0
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-TrainingCode1
Truth Discovery in Sequence Labels from CrowdsCode0
Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encoder—0
ELIT: Emory Language and Information ToolkitCode1
Biomedical and Clinical Language Models for Spanish: On the Benefits of Domain-Specific Pretraining in a Mid-Resource Scenario—0
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models—0
Data Augmentation for Cross-Domain Named Entity RecognitionCode1
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding—0
An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition—0
Imposing Relation Structure in Language-Model Embeddings Using Contrastive LearningCode1
TR-SEQ: Named Entity Recognition Dataset for Turkish Search Engine Queries—0
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER—0
Employing Wikipedia as a resource for Named Entity Recognition in Morphologically complex under-resourced languages—0
BERT-PersNER: A New Model for Persian Named Entity Recognition—0
Multilingual Epidemic Event Extraction : From Simple Classification Methods to Open Information Extraction (OIE) and Ontology—0
Corpus Creation and Language Identification in Low-Resource Code-Mixed Telugu-English Text—0
Transfer Learning for Czech Historical Named Entity Recognition—0
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty EstimationCode0
Multi-Task Triplet Loss for Named Entity Recognition using Supplementary Text—0
TNNT: The Named Entity Recognition ToolkitCode1
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