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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 901925 of 1729 papers

TitleStatusHype
Scalable graph-based individual named entity identification0
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities0
SC-CoMIcs: A Superconductivity Corpus for Materials Informatics0
Scraping the Shadows: Deep Learning Breakthroughs in Dark Web Intelligence0
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model0
Segmenting Natural Language Sentences via Lexical Unit Analysis0
Segment-Level Neural Conditional Random Fields for Named Entity Recognition0
SegMix: A Simple Structure-Aware Data Augmentation Method0
SegMix: A Simple Structure-Aware Data Augmentation Method0
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge0
Self-attention-based BiGRU and capsule network for named entity recognition0
Self-Attention Gazetteer Embeddings for Named-Entity Recognition0
Semantic Annotation for Improved Safety in Construction Work0
Semantic Parsing to Manipulate Relational Database For a Management System0
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)0
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2)0
Semi-supervised Bootstrapping approach for Named Entity Recognition0
Semi-Supervised Learning from Small Annotated Data and Large Unlabeled Data for Fine-grained PICO Entity Recognition0
Sentence-Level Resampling for Named Entity Recognition0
Seq-GAN-BERT:Sequence Generative Adversarial Learning for Low-resource Name Entity Recognition0
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling0
Serbian NER&Beyond: The Archaic and the Modern Intertwinned0
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models0
Shifting NER into High Gear: The Auto-AdvER Approach0
Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER0
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