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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 1521–1530 of 1729 papers

TitleStatusHype
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural LanguageCode0
Efficient Dependency-Guided Named Entity RecognitionCode0
NERCat: Fine-Tuning for Enhanced Named Entity Recognition in CatalanCode0
CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling approaches for NERCode0
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NERCode0
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity RecognitionCode0
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype LearningCode0
Chinese Named Entity Recognition Augmented with Lexicon MemoryCode0
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity RecognitionCode0
Effectiveness of Cross-linguistic Extraction of Genetic Information using Generative Large Language ModelsCode0
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