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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 976–1000 of 1729 papers

TitleStatusHype
The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish—0
The futility of STILTs for the classification of lexical borrowings in Spanish—0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer—0
The impact of simple feature engineering in multilingual medical NER—0
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition—0
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition—0
The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process—0
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models—0
TMR: Evaluating NER Recall on Tough Mentions—0
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers—0
Topic Sentence Named Entity Recognition: A New Task with Its Dataset and Benchmarks—0
Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City—0
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons—0
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning—0
Towards Automated Recipe Genre Classification using Semi-Supervised Learning—0
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases—0
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity—0
Towards De-identification of Legal Texts—0
Towards Discourse Parsing-inspired Semantic Storytelling—0
Towards Effective Multi-Task Interaction for Entity-Relation Extraction: A Unified Framework with Selection Recurrent Network—0
Towards Hybrid Intelligence in Journalism: Findings and Lessons Learnt from a Collaborative Analysis of Greek Political Rhetoric by ChatGPT and Humans—0
Towards identifying Source credibility on Information Leakage in Digital Gadget Market—0
Towards Interpretable Evaluations: A Case Study of Named Entity Recognition—0
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain—0
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