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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

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Showing 501–525 of 1729 papers

TitleStatusHype
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
Evaluating Transferability of BERT Models on Uralic LanguagesCode0
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty EstimationCode0
Evaluating Contextualized Language Models for HungarianCode0
Different Tastes of Entities: Investigating Human Label Variation in Named Entity AnnotationsCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade DirectoriesCode0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity RecognitionCode0
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream taskCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Financial Named Entity Recognition: How Far Can LLM Go?Code0
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-levelCode0
Biomedical Named Entity Recognition at ScaleCode0
Biomedical Language Models are Robust to Sub-optimal TokenizationCode0
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