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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 1176–1200 of 1729 papers

TitleStatusHype
Adaptive Self-training for Few-shot Neural Sequence Labeling—0
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African LanguagesCode0
Dissecting Span Identification Tasks with Performance Prediction—0
Local Additivity Based Data Augmentation for Semi-supervised NERCode1
NLP Service APIs and Models for Efficient Registration of New Clients—0
Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism—0
Named Entity Recognition with Context-Aware Dictionary Knowledge—0
BENNERD: A Neural Named Entity Linking System for COVID-19—0
Evaluating Multilingual BERT for Estonian—0
Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery ModelsCode1
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text—0
DWIE: an entity-centric dataset for multi-task document-level information extractionCode1
Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!Code1
Vector Projection Network for Few-shot Slot Tagging in Natural Language UnderstandingCode1
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition—0
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLPCode1
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Cascaded Models for Better Fine-Grained Named Entity Recognition—0
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi—0
FILTER: An Enhanced Fusion Method for Cross-lingual Language UnderstandingCode1
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity RecognitionCode0
VinAI at ChEMU 2020: An accurate system for named entity recognition in chemical reactions from patents—0
Two Step Joint Model for Drug Drug Interaction Extraction—0
Example-Based Named Entity RecognitionCode1
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