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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 1501–1550 of 1729 papers

TitleStatusHype
Fine-grained Named Entity Annotation for Finnish—0
Fine-grained Named Entity Annotations for German Biographic Interviews—0
FinEst BERT and CroSloEngual BERT: less is more in multilingual models—0
Fine Tuning Named Entity Extraction Models for the Fantasy Domain—0
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages—0
FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets—0
FLERT: Document-Level Features for Named Entity Recognition—0
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition—0
Flippi: End To End GenAI Assistant for E-Commerce—0
Floods Relevancy and Identification of Location from Twitter Posts using NLP Techniques—0
Focused training sets to reduce noise in NER feature models—0
Fouille de motifs et CRF pour la reconnaissance de sympt\^omes dans les textes biom\'edicaux (Pattern mining and CRF for symptoms recognition in biomedical texts)—0
FRASIMED: a Clinical French Annotated Resource Produced through Crosslingual BERT-Based Annotation Projection—0
From Dialogue to Diagram: Task and Relationship Extraction from Natural Language for Accelerated Business Process Prototyping—0
From Voice to Safety: Language AI Powered Pilot-ATC Communication Understanding for Airport Surface Movement Collision Risk Assessment—0
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers—0
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers—0
F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media—0
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition—0
GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models—0
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition—0
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition—0
GBD-NER at PARSEME Shared Task 2018: Multi-Word Expression Detection Using Bidirectional Long-Short-Term Memory Networks and Graph-Based Decoding—0
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models—0
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input—0
Gender-Based Vocation Identification in Swedish 19th Century Prose Fiction using Linguistic Patterns, NER and CRF Learning—0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance—0
Generalisation in Named Entity Recognition: A Quantitative Analysis—0
Generate it. A simple method for End-to-End Relation Extraction—0
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment—0
Generating Task-Pertinent sorted Error Lists for Speech Recognition—0
Generative AI for Business Strategy: Using Foundation Models to Create Business Strategy Tools—0
Generative AI for Named Entity Recognition in Low-Resource Language Nepali—0
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations—0
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification—0
Geoparsing the historical Gazetteers of Scotland: accurately computing location in mass digitised texts—0
German BERT Model for Legal Named Entity Recognition—0
German NER with a Multilingual Rule Based Information Extraction System: Analysis and Issues—0
GerPS-Compare: Comparing NER methods for legal norm analysis—0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian—0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Global Health Monitor: A Web-based System for Detecting and Mapping Infectious Diseases—0
GlobalNER: Incorporating Non-local Information into Named Entity Recognition—0
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition—0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER—0
GottBERT: a pure German Language Model—0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
Graph-Convolutional Networks: Named Entity Recognition and Large Language Model Embedding in Document Clustering—0
Graph Neural Network and NER-Based Text Summarization—0
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
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