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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 401–450 of 1729 papers

TitleStatusHype
Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-TrainingCode0
Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific AcknowledgementsCode0
A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks—0
A Dataset and Strong Baselines for Classification of Czech News TextsCode0
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition—0
Mutual Reinforcement Effects in Japanese Sentence Classification and Named Entity Recognition Tasks—0
Cross-Lingual NER for Financial Transaction Data in Low-Resource Languages—0
Named entity recognition using GPT for identifying comparable companies—0
RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition—0
Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System—0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
CollabKG: A Learnable Human-Machine-Cooperative Information Extraction Toolkit for (Event) Knowledge Graph ConstructionCode0
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical DomainCode1
Information Extraction in Domain and Generic Documents: Findings from Heuristic-based and Data-driven Approaches—0
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries—0
Biomedical Language Models are Robust to Sub-optimal TokenizationCode0
Streamlining Social Media Information Retrieval for COVID-19 Research with Deep LearningCode0
Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity RecognitionCode0
DMNER: Biomedical Entity Recognition by Detection and MatchingCode0
Transfer Learning across Several Centuries: Machine and Historian Integrated Method to Decipher Royal Secretary's Diary—0
Enriching the NArabizi Treebank: A Multifaceted Approach to Supporting an Under-Resourced Language—0
Identifying and Extracting Rare Disease Phenotypes with Large Language ModelsCode0
Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review—0
Named entity recognition in resumes—0
Improving Code-Switching and Named Entity Recognition in ASR with Speech Editing based Data Augmentation—0
h2oGPT: Democratizing Large Language ModelsCode6
Enhancing Low Resource NER Using Assisting Language And Transfer Learning—0
Multilingual Clinical NER: Translation or Cross-lingual Transfer?—0
TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity RecognitionCode0
Skill over Scale: The Case for Medium, Domain-Specific Models for SE—0
Impact of translation on biomedical information extraction from real-life clinical notes—0
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes—0
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
MetaXLR -- Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed BanditCode0
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
Examining risks of racial biases in NLP tools for child protective services—0
Machine Learning Approach for Cancer Entities Association and Classification—0
Comparing and combining some popular NER approaches on Biomedical tasksCode0
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition—0
Extrinsic Factors Affecting the Accuracy of Biomedical NER—0
E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionCode1
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER—0
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across LanguagesCode0
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts—0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
PromptNER: Prompt Locating and Typing for Named Entity RecognitionCode1
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation—0
Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal PractitionersCode0
PromptNER: Prompting For Named Entity Recognition—0
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