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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 101–125 of 1729 papers

TitleStatusHype
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Enhanced Language Representation with Label Knowledge for Span ExtractionCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
Example-Based Named Entity RecognitionCode1
A Named Entity Based Approach to Model RecipesCode1
Better Feature Integration for Named Entity RecognitionCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLPCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical TextsCode1
Bipartite Flat-Graph Network for Nested Named Entity RecognitionCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu FrameworkCode1
Can images help recognize entities? A study of the role of images for Multimodal NERCode1
BNLP: Natural language processing toolkit for Bengali languageCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
An Effective System for Multi-format Information ExtractionCode1
Coarse-to-Fine Pre-training for Named Entity RecognitionCode1
Boundary Smoothing for Named Entity RecognitionCode1
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
German's Next Language ModelCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention DetectionCode1
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