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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 476–500 of 1729 papers

TitleStatusHype
Evolution of ESG-focused DLT Research: An NLP Analysis of the LiteratureCode0
Neural Adaptation Layers for Cross-domain Named Entity RecognitionCode0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Evaluating Transferability of BERT Models on Uralic LanguagesCode0
Evaluation of a Sequence Tagging Tool for Biomedical TextsCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
BAND: Biomedical Alert News DatasetCode0
A Byte-sized Approach to Named Entity RecognitionCode0
Evaluating Contextualized Language Models for HungarianCode0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade DirectoriesCode0
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream taskCode0
Breaking BERT: Understanding its Vulnerabilities for Named Entity Recognition through Adversarial AttackCode0
A Novel Approach for Auto-Formulation of Optimization ProblemsCode0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic ModelCode0
On-the-Job Learning with Bayesian Decision TheoryCode0
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Design Challenges and Misconceptions in Neural Sequence LabelingCode0
Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared TaskCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Enhancing deep neural networks with morphological informationCode0
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