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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 26–50 of 1729 papers

TitleStatusHype
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
BNLP: Natural language processing toolkit for Bengali languageCode1
A Named Entity Based Approach to Model RecipesCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
Boundary Smoothing for Named Entity RecognitionCode1
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
Bipartite Flat-Graph Network for Nested Named Entity RecognitionCode1
Chinese NER Using Lattice LSTMCode1
A Unified Generative Framework for Various NER SubtasksCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
Automatic extraction of materials and properties from superconductors scientific literatureCode1
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation QueriesCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
A Large-Scale Chinese Multimodal NER Dataset with Speech CluesCode1
A Label-Aware Autoregressive Framework for Cross-Domain NERCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
ALBETO and DistilBETO: Lightweight Spanish Language ModelsCode1
An Effective System for Multi-format Information ExtractionCode1
A Dataset of German Legal Documents for Named Entity RecognitionCode1
SeqScore: Addressing Barriers to Reproducible Named Entity Recognition EvaluationCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
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