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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 1101–1150 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
A Named Entity Recognition and Topic Modeling-based Solution for Locating and Better Assessment of Natural Disasters in Social Media—0
A Named Entity Recognition Shootout for German—0
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
A Natural Language Processing Pipeline for Detecting Informal Data References in Academic Literature—0
An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature—0
An Automated Domain Understanding Technique for Knowledge Graph Generation—0
ANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts—0
An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition—0
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
An Empirical Study of Representation, Training and Decoding for Span-based Named Entity Recognition—0
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles—0
An Empirical Study on Fine-Grained Named Entity Recognition—0
An End-to-End Solution for Named Entity Recognition in eCommerce Search—0
An Ensemble-based approach for assigning text to correct Harmonized system code—0
An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking—0
A Neural Pipeline Approach for the PharmaCoNER Shared Task using Contextual Exhaustive Models—0
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition—0
An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain—0
An Experimental Study on Data Augmentation Techniques for Named Entity Recognition on Low-Resource Domains—0
An Intelligent Recommendation-cum-Reminder System—0
An Investigation towards Differentially Private Sequence Tagging in a Federated Framework—0
Annotated Job Ads with Named Entity Recognition—0
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