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Named Entity Recognition

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TitleStatusHype
A Deep Learning-Based System for PharmaCoNER—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
AUC Maximization for Low-Resource Named Entity Recognition—0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
CSECU-DSG at SemEval-2022 Task 11: Identifying the Multilingual Complex Named Entity in Text Using Stacked Embeddings and Transformer based Approach—0
A two-step approach to leverage contextual data: speech recognition in air-traffic communications—0
CrowNER at Rocling 2022 Shared Task: NER using MacBERT and Adversarial Training—0
Analysis of Named Entity Recognition and Linking for Tweets—0
Curriculum d'apprentissage : reconnaissance d'entit\'es nomm\'ees pour l'extraction de concepts s\'emantiques (Curriculum learning : named entity recognition for semantic concept extraction)—0
Audio De-identification: A New Entity Recognition Task—0
DISARM: Detecting the Victims Targeted by Harmful Memes—0
Differentiable Scheduled Sampling for Credit Assignment—0
Czech Historical Named Entity Corpus v 1.0—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—0
DaCy: A Unified Framework for Danish NLP—0
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks—0
DAML: Chinese Named Entity Recognition with a fusion method of data-augmentation and meta-learning—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts—0
Differential Evolution Based Feature Selection and Classifier Ensemble for Named Entity Recognition—0
Augmenty: A Python Library for Structured Text Augmentation—0
DaNE: A Named Entity Resource for Danish—0
Cross Script Hindi English NER Corpus from Wikipedia—0
Attribute Value Generation from Product Title using Language Models—0
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