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Named Entity Recognition

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TitleStatusHype
CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction—0
Collective Robustness Certificates—0
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks—0
Combining Domain-Specific Models and LLMs for Automated Disease Phenotyping from Survey Data—0
Combining Minimally-supervised Methods for Arabic Named Entity Recognition—0
Combining neural and knowledge-based approaches to Named Entity Recognition in Polish—0
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER—0
COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing—0
Company classification using zero-shot learning—0
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies—0
Comparative Analysis of Extrinsic Factors for NER in French—0
Comparative Analysis of Named Entity Recognition in the Dungeons and Dragons Domain—0
Comparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model—0
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition—0
Comparing Named-Entity Recognizers in a Targeted Domain: Handcrafted Rules vs Machine Learning—0
Comparing Open Arabic Named Entity Recognition Tools—0
Complementary and Integrative Health Lexicon (CIHLex) and Entity Recognition in the Literature—0
Composited-Nested-Learning with Data Augmentation for Nested Named Entity Recognition—0
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service—0
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision—0
Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
Computational Approaches to Arabic-English Code-Switching—0
Computer Science Articles Named Entity Recognition Datasets: Survey and Our Recent Development—0
Computing Word Classes Using Spectral Clustering—0
CoNECo: A corpus for named entity recognition and normalization of protein complexes—0
Confidence estimation of classification based on the distribution of the neural network output layer—0
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition—0
CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English—0
Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF—0
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition—0
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database—0
Constructing a Korean Named Entity Recognition Dataset for the Financial Domain using Active Learning—0
Constructing a Word Similarity Graph from Vector based Word Representation for Named Entity Recognition—0
Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection—0
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning—0
Context-aware Adversarial Attack on Named Entity Recognition—0
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition—0
Context-aware Fine-tuning of Self-supervised Speech Models—0
Context-Sensitive Recognition for Emerging and Rare Entities—0
Contextual Characters with Segmentation Representation for Named Entity Recognition in Chinese—0
Contextualization and Generalization in Entity and Relation Extraction—0
Contextualized French Language Models for Biomedical Named Entity Recognition—0
Contextualized Word Representations from Distant Supervision with and for NER—0
Contextual Text Embeddings for Twi—0
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER—0
Controlled Data Generation via Insertion Operations for NLU—0
Controlled Randomness Improves the Performance of Transformer Models—0
Cookpad Parsed Corpus: Linguistic Annotations of Japanese Recipes—0
CopyNext: Explicit Span Copying and Alignment in Sequence to Sequence Models—0
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