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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 1351–1400 of 1729 papers

TitleStatusHype
Crowdsourcing and annotating NER for Twitter \#drift—0
CrowNER at Rocling 2022 Shared Task: NER using MacBERT and Adversarial Training—0
CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
Czech Historical Named Entity Corpus v 1.0—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—0
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition—0
DaNE: A Named Entity Resource for Danish—0
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition—0
Data Cleaning Tools for Token Classification Tasks—0
Data-Constrained Synthesis of Training Data for De-Identification—0
DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition—0
De-Bias for Generative Extraction in Unified NER Task—0
Deep CLAS: Deep Contextual Listen, Attend and Spell—0
DeepCon: An End-to-End Multilingual Toolkit for Automatic Minuting of Multi-Party Dialogues—0
Deep Exhaustive Model for Nested Named Entity Recognition—0
DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature—0
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text—0
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security—0
Deep Learning Based Named Entity Recognition Models for Recipes—0
Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results—0
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries—0
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature—0
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models—0
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches—0
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification—0
Designing Informative Metrics for Few-Shot Example Selection—0
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service—0
Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names—0
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi—0
Development of a WAZOBIA-Named Entity Recognition System—0
DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries—0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
DGT-TM: A freely Available Translation Memory in 22 Languages—0
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
Digital Leafleting: Extracting Structured Data from Multimedia Online Flyers—0
Dissecting Span Identification Tasks with Performance Prediction—0
Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality—0
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled Learning—0
Distill and Calibrate: Denoising Inconsistent Labeling Instances for Chinese Named Entity Recognition—0
Distilling Large Language Models for Efficient Clinical Information Extraction—0
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models—0
Distilling BERT into Simple Neural Networks with Unlabeled Transfer Data—0
Distributed Word Representations Improve NER for e-Commerce—0
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