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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 1676–1700 of 1729 papers

TitleStatusHype
Low-Resource Named Entity Recognition Based on Multi-hop Dependency TriggerCode0
Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity RecognitionCode0
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized RepresentationsCode0
Simplify the Usage of Lexicon in Chinese NERCode0
Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning ApproachesCode0
PersoNER: Persian Named-Entity RecognitionCode0
Deep Affix Features Improve Neural Named Entity RecognizersCode0
A Feature-Rich Vietnamese Named-Entity Recognition ModelCode0
PEYMA: A Tagged Corpus for Persian Named EntitiesCode0
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target LanguageCode0
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of DataCode0
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic ModelingCode0
Single versus Multiple Annotation for Named Entity Recognition of MutationsCode0
Data Centric Domain Adaptation for Historical Text with OCR ErrorsCode0
P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language ModelsCode0
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity RecognitionCode0
BERT Rediscovers the Classical NLP PipelineCode0
Skill-LLM: Repurposing General-Purpose LLMs for Skill ExtractionCode0
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionCode0
Data Augmentation for Robust Character Detection in Fantasy NovelsCode0
A Pragmatic Guide to Geoparsing EvaluationCode0
Porous Lattice-based Transformer Encoder for Chinese NERCode0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity RecognitionCode0
SkoltechNLP at SemEval-2022 Task 8: Multilingual News Article Similarity via Exploration of News Texts to Vector RepresentationsCode0
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