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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 451–500 of 1729 papers

TitleStatusHype
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via AdaptersCode0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual FrameworkCode0
Fine-grained Contract NER using instruction based modelCode0
Adversarial Adaptation for French Named Entity RecognitionCode0
Few-shot classification in Named Entity Recognition TaskCode0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
Named-Entity Recognition for NorwegianCode0
Federated Incremental Named Entity RecognitionCode0
CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionCode0
DaN+: Danish Nested Named Entities and Lexical NormalizationCode0
Named Entity Recognition in Tweets: An Experimental StudyCode0
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV DeliveryCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
Data Augmentation for Robust Character Detection in Fantasy NovelsCode0
Data Centric Domain Adaptation for Historical Text with OCR ErrorsCode0
Automatic Identification and Normalisation of Physical Measurements in Scientific LiteratureCode0
Fine-grained Entity Typing without Knowledge BaseCode0
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language ModelingCode0
Improving Chemical Named Entity Recognition in Patents with Contextualized Word EmbeddingsCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling TaskCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
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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