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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 951–1000 of 1729 papers

TitleStatusHype
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
Syllable-based Neural Named Entity Recognition for Myanmar Language—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
Textual Entailment with Dynamic Contrastive Learning for Zero-shot NER—0
The Bulgarian Event Corpus: Overview and Initial NER Experiments—0
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish—0
The futility of STILTs for the classification of lexical borrowings in Spanish—0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer—0
The impact of simple feature engineering in multilingual medical NER—0
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition—0
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition—0
The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process—0
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models—0
TMR: Evaluating NER Recall on Tough Mentions—0
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers—0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City—0
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons—0
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning—0
Towards Automated Recipe Genre Classification using Semi-Supervised Learning—0
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases—0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity—0
Towards De-identification of Legal Texts—0
Towards Discourse Parsing-inspired Semantic Storytelling—0
Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network—0
Towards Hybrid Intelligence in Journalism: Findings and Lessons Learnt from a Collaborative Analysis of Greek Political Rhetoric by ChatGPT and Humans—0
Towards identifying Source credibility on Information Leakage in Digital Gadget Market—0
Towards Interpretable Evaluations: A Case Study of Named Entity Recognition—0
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain—0
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