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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 451–475 of 1729 papers

TitleStatusHype
CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
Czech Historical Named Entity Corpus v 1.0—0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER—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
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features—0
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition—0
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations—0
DaNE: A Named Entity Resource for Danish—0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings—0
A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector—0
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
Data Cleaning Tools for Token Classification Tasks—0
Data-Constrained Synthesis of Training Data for De-Identification—0
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts—0
Cloze-driven Pretraining of Self-attention Networks—0
De-Bias for Generative Extraction in Unified NER Task—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
Adaptive Self-training for Neural Sequence Labeling with Few Labels—0
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