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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 101–150 of 1729 papers

TitleStatusHype
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation)Code1
A Label-Aware Autoregressive Framework for Cross-Domain NERCode1
NERDA-Con: Extending NER models for Continual Learning -- Integrating Distinct Tasks and Updating Distribution ShiftsCode1
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language ModelsCode1
Enhanced Entity Annotations for Multilingual CorporaCode1
RuNNE-2022 Shared Task: Recognizing Nested Named EntitiesCode1
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language UnderstandingCode1
Wojood: Nested Arabic Named Entity Corpus and Recognition using BERTCode1
Hero-Gang Neural Model For Named Entity RecognitionCode1
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity RecognitionCode1
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical NotesCode1
Pretrained Biomedical Language Models for Clinical NLP in SpanishCode1
Thai Nested Named Entity Recognition CorpusCode1
GNNer: Reducing Overlapping in Span-based NER Using Graph Neural NetworksCode1
HiNER: A Large Hindi Named Entity Recognition DatasetCode1
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity RecognitionCode1
Boundary Smoothing for Named Entity RecognitionCode1
Robust Self-Augmentation for Named Entity Recognition with Meta ReweightingCode1
ALBETO and DistilBETO: Lightweight Spanish Language ModelsCode1
L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language ModelsCode1
TASTEset -- Recipe Dataset and Food Entities Recognition BenchmarkCode1
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-TuningCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical TextsCode1
MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic PerspectiveCode1
CyNER: A Python Library for Cybersecurity Named Entity RecognitionCode1
kNN-NER: Named Entity Recognition with Nearest Neighbor SearchCode1
Computer Science Named Entity Recognition in the Open Research Knowledge GraphCode1
Parallel Instance Query Network for Named Entity RecognitionCode1
Nested Named Entity Recognition as Latent Lexicalized Constituency ParsingCode1
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity RecognitionCode1
Distantly Supervised Named Entity Recognition via Confidence-Based Multi-Class Positive and Unlabeled LearningCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
HuSpaCy: an industrial-strength Hungarian natural language processing toolkitCode1
KIND: an Italian Multi-Domain Dataset for Named Entity RecognitionCode1
Unified Named Entity Recognition as Word-Word Relation ClassificationCode1
Learning Rich Representation of Keyphrases from TextCode1
Named entity recognition architecture combining contextual and global featuresCode1
Open-CyKG: An Open Cyber Threat Intelligence Knowledge GraphCode1
Enhancing Multilingual Language Model with Massive Multilingual Knowledge TriplesCode1
Zero-Shot Learning in Named-Entity Recognition with External KnowledgeCode1
Focusing on Potential Named Entities During Active Label AcquisitionCode1
Named Entity Recognition for Entity Linking: What Works and What’s NextCode1
WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NERCode1
Enhanced Language Representation with Label Knowledge for Span ExtractionCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity RecognitionCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
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