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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

Showing 13511400 of 1729 papers

TitleStatusHype
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Fine-grained Contract NER using instruction based modelCode0
Fine-grained Entity Typing without Knowledge BaseCode0
Fine-Grained Error Analysis and Fair Evaluation of Labeled SpansCode0
Automatic Extraction of Nested Entities in Clinical Referrals in SpanishCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolutionCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based ApproachCode0
Finetuning BERT on Partially Annotated NER CorporaCode0
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial LabelsCode0
Towards Improving Neural Named Entity Recognition with GazetteersCode0
R2D2: Robust Data-to-Text with Replacement DetectionCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Streamlining Social Media Information Retrieval for COVID-19 Research with Deep LearningCode0
Stress Test Evaluation of Biomedical Word EmbeddingsCode0
Multi-Grained Named Entity RecognitionCode0
CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence TranslationCode0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
FonMTL: Towards Multitask Learning for the Fon LanguageCode0
Foreseeing the Benefits of Incidental SupervisionCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
Student-Powered Digital Scholarship CoLab Project in the HKUST Library: Develop a Chinese Named-Entity Recognition (NER) Tool within One Semester from the Ground UpCode0
Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal PractitionersCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
Countering Malicious Content Moderation Evasion in Online Social Networks: Simulation and Detection of Word CamouflageCode0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
Raw-to-End Name Entity Recognition in Social MediaCode0
Towards Multi-Sense Cross-Lingual Alignment of Contextual EmbeddingsCode0
Substitute Based SCODE Word Embeddings in Supervised NLP TasksCode0
Evaluating Transferability of BERT Models on Uralic LanguagesCode0
Massively Multilingual Transfer for NERCode0
FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific ScenariosCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NERCode0
FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous EntitiesCode0
Multilinguals at SemEval-2022 Task 11: Complex NER in Semantically Ambiguous Settings for Low Resource LanguagesCode0
Gated Task Interaction Framework for Multi-task Sequence TaggingCode0
Subword Pooling Makes a DifferenceCode0
Subword Pooling Makes a DifferenceCode0
Gazetteer-Enhanced Bangla Named Entity Recognition with BanglaBERT Semantic Embeddings K-Means-Infused CRF ModelCode0
Cost-efficient Crowdsourcing for Span-based Sequence Labeling: Worker Selection and Data AugmentationCode0
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence LabelingCode0
Neural Correction Model for Open-Domain Named Entity RecognitionCode0
GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report EvaluationCode0
Contextual Label Projection for Cross-Lingual Structured PredictionCode0
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
Towards Realistic Single-Task Continuous Learning Research for NERCode0
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