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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 1–50 of 1729 papers

TitleStatusHype
h2oGPT: Democratizing Large Language ModelsCode6
Do "English" Named Entity Recognizers Work Well on Global Englishes?Code5
RaTEScore: A Metric for Radiology Report GenerationCode4
Accurate clinical and biomedical Named entity recognition at scaleCode3
WhisperNER: Unified Open Named Entity and Speech RecognitionCode3
Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical ExpressionsCode3
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
BERN2: an advanced neural biomedical named entity recognition and normalization toolCode2
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity RecognitionCode2
T-NER: An All-Round Python Library for Transformer-based Named Entity RecognitionCode2
Rethinking Negative Instances for Generative Named Entity RecognitionCode2
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for ChineseCode2
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerCode2
TechGPT-2.0: A large language model project to solve the task of knowledge graph constructionCode2
Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRsCode2
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and ChallengesCode2
GPT-NER: Named Entity Recognition via Large Language ModelsCode2
calamanCy: A Tagalog Natural Language Processing ToolkitCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
Actionable Entities Recognition Benchmark for Interactive FictionCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Bipartite Flat-Graph Network for Nested Named Entity RecognitionCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu FrameworkCode1
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention DetectionCode1
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant SupervisionCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
Boundary Smoothing for Named Entity RecognitionCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
Better Feature Integration for Named Entity RecognitionCode1
BNLP: Natural language processing toolkit for Bengali languageCode1
Chinese NER Using Lattice LSTMCode1
Automatic extraction of materials and properties from superconductors scientific literatureCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
Beheshti-NER: Persian Named Entity Recognition Using BERTCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
AraBERT: Transformer-based Model for Arabic Language UnderstandingCode1
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLPCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based TechniqueCode1
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
A Unified Generative Framework for Various NER SubtasksCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
A Dataset of German Legal Documents for Named Entity RecognitionCode1
SeqScore: Addressing Barriers to Reproducible Named Entity Recognition EvaluationCode1
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
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