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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 1626–1650 of 1729 papers

TitleStatusHype
Sentence-Level Resampling for Named Entity RecognitionCode0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity RecognitionCode0
Did You Enjoy the Last Supper? An Experimental Study on Cross-Domain NER Models for the Art DomainCode0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Learning Task-specific Representation for Novel Words in Sequence LabelingCode0
Sequence Labeling: A Practical ApproachCode0
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity RecognitionCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
Biomedical Named Entity Recognition at ScaleCode0
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region NetworksCode0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
Biomedical Language Models are Robust to Sub-optimal TokenizationCode0
Optimizing small BERTs trained for German NERCode0
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NERCode0
SetGNER: General Named Entity Recognition as Entity Set GenerationCode0
Overview of STEM Science as Process, Method, Material, and Data Named EntitiesCode0
Less than One-shot: Named Entity Recognition via Extremely Weak SupervisionCode0
Design Challenges and Misconceptions in Neural Sequence LabelingCode0
Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph NetworkCode0
Alleviating Digitization Errors in Named Entity Recognition for Historical DocumentsCode0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Tokenization Impacts Multilingual Language Modeling: Assessing Vocabulary Allocation and Overlap Across LanguagesCode0
TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASRCode0
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