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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 901–950 of 1729 papers

TitleStatusHype
Shifting NER into High Gear: The Auto-AdvER Approach—0
Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER—0
silpa_nlp at SemEval-2022 Tasks 11: Transformer based NER models for Hindi and Bangla languages—0
Similarit\'e s\'emantique entre phrases : apprentissage par transfert interlingue (Semantic Sentence Similarity : Multilingual Transfer Learning)—0
Simple Effective Microblog Named Entity Recognition: Arabic as an Example—0
Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data—0
SimpleNER Sentence Simplification System for GEM 2021—0
Simple Semantic-based Data Augmentation for Named Entity Recognition in Biomedical Texts—0
Simple yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition—0
SinaTools: Open Source Toolkit for Arabic Natural Language Processing—0
SiNER: A Large Dataset for Sindhi Named Entity Recognition—0
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages—0
Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget—0
SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems—0
Social Media Personal Event Notifier Using NLP and Machine Learning—0
Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024—0
Solving Price Per Unit Problem Around the World: Formulating Fact Extraction as Question Answering—0
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding—0
Span-based joint entity and relation extraction augmented with sequence tagging mechanism—0
Spanish NER with Word Representations and Conditional Random Fields—0
Skill over Scale: The Case for Medium, Domain-Specific Models for SE—0
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity—0
Structured Language Generation Model for Robust Structure Prediction—0
Subsequence Based Deep Active Learning for Named Entity Recognition—0
Suivi de contours d'articulateurs orofaciaux \`a partir d'IRM dynamique (Orofacial articulators tracking from dynamic MRI)—0
Surprisingly Simple Adapter Ensembling for Zero-Shot Cross-Lingual Sequence Tagging—0
Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina—0
Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools—0
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data—0
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping—0
Symbol-based entity marker highlighting for enhanced text mining in materials science with generative AI—0
Synapse at CAp 2017 NER challenge: Fasttext CRF—0
Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling—0
Syst\`eme hybride pour la reconnaissance des entit\'es nomm\'ees arabes \`a base des CRF (Hybrid arabic NER system using CRF Model)—0
Tackling Code-Switched NER: Participation of CMU—0
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature—0
Tamil NER - Coping with Real Time Challenges—0
Targetable Named Entity Recognition in Social Media—0
Taxonomy Expansion for Named Entity Recognition—0
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network—0
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers—0
Terminologies augmented recurrent neural network model for clinical named entity recognition—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text—0
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling—0
TexSmart: A System for Enhanced Natural Language Understanding—0
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis—0
Text2Insight: Transform natural language text into insights seamlessly using multi-model architecture—0
TextMosaic: A New Data Augmentation Method for Named Entity Recognition Using Document-Level Contexts—0
Text Segmentation using Named Entity Recognition and Co-reference Resolution in English and Greek Texts—0
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning—0
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