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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

Showing 11261150 of 1729 papers

TitleStatusHype
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input0
Gender-Based Vocation Identification in Swedish 19th Century Prose Fiction using Linguistic Patterns, NER and CRF Learning0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance0
Generalisation in Named Entity Recognition: A Quantitative Analysis0
Generate it. A simple method for End-to-End Relation Extraction0
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment0
Generating Task-Pertinent sorted Error Lists for Speech Recognition0
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools0
Generative AI for Named Entity Recognition in Low-Resource Language Nepali0
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations0
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification0
Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts0
German BERT Model for Legal Named Entity Recognition0
German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues0
GerPS-Compare: Comparing NER methods for legal norm analysis0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks0
Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases0
GlobalNER: Incorporating Non-local Information into Named Entity Recognition0
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER0
GottBERT: a pure German Language Model0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction0
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering0
Graph Neural Network and NER-Based Text Summarization0
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