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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 951–975 of 1729 papers

TitleStatusHype
Wiki to Automotive: Understanding the Distribution Shift and its impact on Named Entity Recognition—0
NER-BERT: A Pre-trained Model for Low-Resource Entity Tagging—0
Multi-task pre-finetuning for zero-shot cross lingual transfer—0
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches—0
KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers—0
Few-shot Named Entity Recognition with Cloze Questions—0
CL-NERIL: A Cross-Lingual Model for NER in Indian LanguagesCode0
Improving Tagging Consistency and Entity Coverage for Chemical Identification in Full-text Articles—0
Unsupervised Domain Adaptation with Contrastive Learning for Cross-domain Chinese NER—0
Cross-domain Named Entity Recognition via Graph Matching—0
A Simple Information-Based Approach to Unsupervised Domain-Adaptive Aspect-Based Sentiment Analysis—0
Clause Attention based on Signal Words Division—0
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing—0
CLGP: Multi-Feature Embedding based Cross-Attention for Chinese NER—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
Chinese Word Attention based on Valid Division of Sentence—0
Packed Levitated Marker for Entity and Relation Extraction—0
Rethinking Negative Sampling for Handling Missing Entity Annotations—0
Simple yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition—0
Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data—0
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective—0
TextMosaic: A New Data Augmentation Method for Named Entity Recognition Using Document-Level Contexts—0
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition—0
Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER—0
Learning to Learn Recognising Biomedical Entities from Multiple Domains with Task Hardness—0
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