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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 951–1000 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
Computer Science Articles Named Entity Recognition Datasets: Survey and Our Recent Development—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction—0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Boundary Smoothing for Named Entity Recognition—0
Explicit Modeling the Context for Chinese NER—0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
Are We NER Yet? Measuring the Impact of ASR Errors on Named Entity Recognition in Spontaneous Conversation Transcripts—0
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning—0
Distantly Supervised Named Entity Recognition with Category-Oriented Confidence CalibrationCode0
A PubMedBERT-based Classifier with Data Augmentation Strategy for Detecting Medication Mentions in Tweets—0
Named Entity Recognition in Historic Legal Text: A Transformer and State Machine Ensemble Method—0
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network—0
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset—0
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant SupervisionCode0
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-SwitchingCode0
Few-Shot Named Entity Recognition: An Empirical Baseline Study—0
Fine-grained Entity Typing without Knowledge BaseCode0
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition—0
Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity RecognitionCode0
Improved Named Entity Recognition for Noisy Call Center Transcripts—0
MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer—0
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