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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 1101–1125 of 1729 papers

TitleStatusHype
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)—0
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching—0
A Hassle-Free Machine Learning Method for Cohort Selection of Clinical Trials—0
A hybrid deep-learning approach for complex biochemical named entity recognition—0
AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology—0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural Language—0
AlbNER: A Corpus for Named Entity Recognition in Albanian—0
A Lexicon-Based Graph Neural Network for Chinese NER—0
All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations—0
A Local Detection Approach for Named Entity Recognition and Mention Detection—0
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging—0
A Machine Learning Approach to Quantitative Prosopography—0
A Marker-based Neural Network System for Extracting Social Determinants of Health—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
A multimodal deep learning approach for named entity recognition from social media—0
A Multi-Strategy Approach for Location Mining in Tweets: AUT NLP Group Entry for ALTA-2014 Shared Task—0
A Multi-task Learning Approach for Named Entity Recognition using Local Detection—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
A Multi-Task Learning Framework for Extracting Drugs and Their Interactions from Drug Labels—0
A Multi-Task Learning Framework for Extracting Bacteria Biotope Information—0
An Adaptive Framework for Named Entity Combination—0
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques—0
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