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Named Entity Recognition

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Showing 1326–1350 of 2560 papers

TitleStatusHype
ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models—0
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution—0
Revised JNLPBA Corpus: A Revised Version of Biomedical NER Corpus for Relation Extraction Task—0
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition—0
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction—0
RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER—0
RNN Transducers for Nested Named Entity Recognition with constraints on alignment for long sequences—0
RoBERTweet: A BERT Language Model for Romanian Tweets—0
Robust Logistic Regression using Shift Parameters (Long Version)—0
Robust Named Entity Recognition with Truecasing Pretraining—0
Robustness to Capitalization Errors in Named Entity Recognition—0
Role-based model for Named Entity Recognition—0
Romanian micro-blogging named entity recognition including health-related entities—0
融入篇章信息的文学作品命名实体识别(Document-level Literary Named Entity Recognition)—0
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition—0
Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text—0
RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain—0
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
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition—0
Scientific and Technological Text Knowledge Extraction Method of based on Word Mixing and GRU—0
Scientific Information Extraction with Semi-supervised Neural Tagging—0
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