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Named Entity Recognition

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TitleStatusHype
KALA: Knowledge-Augmented Language Model Adaptation—0
TextMosaic: A New Data Augmentation Method for Named Entity Recognition Using Document-Level Contexts—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
Computer Science Articles Named Entity Recognition Datasets: Survey and Our Recent Development—0
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing—0
CBLUE: A Chinese Biomedical Language Understanding EvaluationBenchmark—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
TableIE: Capture the Interactions among Joint Information Extraction Explicitly via Double Tables—0
Question Answering Infused Pre-training of General-Purpose Contextualized Representations—0
Are We NER Yet? Measuring the Impact of ASR Errors on Named Entity Recognition in Spontaneous Conversation Transcripts—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
Few-Shot Named Entity Recognition with Biaffine Span Representation—0
KinyaBERT: a Morphology-aware Kinyarwanda Language Model—0
DataWords: Getting Contrarian with Text, Structured Data and Explanations—0
The overview of the NLM-Chem BioCreative VII track: full-text chemical identification and indexing in PubMed articles—0
Reducing the impact of out of vocabulary words in the translation of natural language questions into SPARQL queries—0
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets—0
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset—0
Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts.Code0
Few-Shot Named Entity Recognition: An Empirical Baseline Study—0
Fine-grained Entity Typing without Knowledge BaseCode0
MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer—0
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition—0
Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition—0
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text—0
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