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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 251–275 of 1729 papers

TitleStatusHype
Can images help recognize entities? A study of the role of images for Multimodal NERCode1
Deeper Task-Specificity Improves Joint Entity and Relation ExtractionCode1
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionCode1
Developing a Named Entity Recognition Dataset for TagalogCode1
E-NER: Evidential Deep Learning for Trustworthy Named Entity RecognitionCode1
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity RecognitionCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
CMNER: A Chinese Multimodal NER Dataset based on Social MediaCode1
Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social MediaCode1
Better Feature Integration for Named Entity RecognitionCode1
Computationally Efficient NER Taggers with Combined Embeddings and Constrained DecodingCode1
An Empirical Study on Fine-Grained Named Entity Recognition—0
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)—0
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis—0
BERTaú: Itaú BERT for digital customer service—0
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles—0
Classification Attention for Chinese NER—0
BENNERD: A Neural Named Entity Linking System for COVID-19—0
An Empirical Study of Representation, Training and Decoding for Span-based Named Entity Recognition—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
AaltoNLP at SemEval-2022 Task 11: Ensembling Task-adaptive Pretrained Transformers for Multilingual Complex NER—0
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics—0
Classification of Contract-Amendment Relationships—0
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records—0
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