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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 876–900 of 1729 papers

TitleStatusHype
S2F-NER: Exploring Sequence-to-Forest Generation for Complex Entity Recognition—0
SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval—0
Scalable graph-based individual named entity identification—0
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities—0
SC-CoMIcs: A Superconductivity Corpus for Materials Informatics—0
Scraping the Shadows: Deep Learning Breakthroughs in Dark Web Intelligence—0
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model—0
Segmenting Natural Language Sentences via Lexical Unit Analysis—0
Segment-Level Neural Conditional Random Fields for Named Entity Recognition—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge—0
Self-attention-based BiGRU and capsule network for named entity recognition—0
Self-Attention Gazetteer Embeddings for Named-Entity Recognition—0
Semantic Annotation for Improved Safety in Construction Work—0
Semantic Parsing to Manipulate Relational Database For a Management System—0
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 Recognition—0
Semi-Supervised Learning from Small Annotated Data and Large Unlabeled Data for Fine-grained PICO Entity Recognition—0
Sentence-Level Resampling for Named Entity Recognition—0
Seq-GAN-BERT：Sequence Generative Adversarial Learning for Low-resource Name Entity Recognition—0
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling—0
Serbian NER&Beyond: The Archaic and the Modern Intertwinned—0
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models—0
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