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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 651–675 of 1729 papers

TitleStatusHype
DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials LiteratureCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
DistALANER: Distantly Supervised Active Learning Augmented Named Entity Recognition in the Open Source Software EcosystemCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
An Encoding Strategy Based Word-Character LSTM for Chinese NERCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via AdaptersCode0
MphayaNER: Named Entity Recognition for TshivendaCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
A Feature-Based Model for Nested Named-Entity Recognition at VLSP-2018 NER Evaluation CampaignCode0
A Pragmatic Guide to Geoparsing EvaluationCode0
Massively Multilingual Transfer for NERCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
FonMTL: Towards Multitask Learning for the Fon LanguageCode0
Probing Biomedical Embeddings from Language ModelsCode0
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
An Empirical Study on Fine-Grained Named Entity Recognition—0
DGT-TM: A freely Available Translation Memory in 22 Languages—0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries—0
Development of a WAZOBIA-Named Entity Recognition System—0
BERTaú: Itaú BERT for digital customer service—0
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles—0
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi—0
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