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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 1026–1050 of 1729 papers

TitleStatusHype
Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency—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
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning—0
T2NER: Transformers based Transfer Learning Framework for Named Entity RecognitionCode1
Optimizing small BERTs trained for German NERCode0
Earnings-21: A Practical Benchmark for ASR in the WildCode1
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models CrispCode0
skweak: Weak Supervision Made Easy for NLPCode1
Regularization for Long Named Entity RecognitionCode0
Zero-Resource Multi-Dialectal Arabic Natural Language Understanding—0
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity RecognitionCode1
Better Feature Integration for Named Entity RecognitionCode1
Noisy-Labeled NER with Confidence EstimationCode1
COVID-19 Named Entity Recognition for VietnameseCode1
Effect of depth order on iterative nested named entity recognition models—0
Dynamic Ensembles in Named Entity Recognition for Historical Arabic Texts—0
FuzzyBIO: A Proposal for Fuzzy Representation of Discontinuous EntitiesCode0
Multilingual Named Entity Recognition and Matching Using BERT and Dedupe for Slavic Languages—0
Multilingual Slavic Named Entity Recognition—0
Priberam Labs at the 3rd Shared Task on SlavNER—0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages—0
Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition SystemsCode0
Identifying Named Entities as they are Typed—0
Subword Pooling Makes a DifferenceCode0
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