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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 51–75 of 1729 papers

TitleStatusHype
Computer Science Named Entity Recognition in the Open Research Knowledge GraphCode1
ConNER: Consistency Training for Cross-lingual Named Entity RecognitionCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based TechniqueCode1
AraBERT: Transformer-based Model for Arabic Language UnderstandingCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
Coarse-to-Fine Pre-training for Named Entity RecognitionCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
Deep Active Learning for Named Entity RecognitionCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
Deep Span Representations for Named Entity RecognitionCode1
A Named Entity Based Approach to Model RecipesCode1
Bipartite Flat-Graph Network for Nested Named Entity RecognitionCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu FrameworkCode1
BNLP: Natural language processing toolkit for Bengali languageCode1
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation QueriesCode1
A Large-Scale Chinese Multimodal NER Dataset with Speech CluesCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
Better Feature Integration for Named Entity RecognitionCode1
ALBETO and DistilBETO: Lightweight Spanish Language ModelsCode1
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