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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 1401–1425 of 1729 papers

TitleStatusHype
Named-Entity Recognition for NorwegianCode0
MorphoBERT: a Persian NER System with BERT and Morphological Analysis—0
Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names—0
Projecting named entity recognizers without annotated or parallel corpora—0
Multilingual Language Models for Named Entity Recognition in German and English—0
A Discriminative Neural Model for Cross-Lingual Word Alignment—0
NEZHA: Neural Contextualized Representation for Chinese Language UnderstandingCode0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NERCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition—0
Position-Aware Self-Attention based Neural Sequence Labeling—0
Query-Based Named Entity Recognition—0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
Neural Architectures for Nested NER through LinearizationCode0
Named Entity Recognition for Nepali LanguageCode0
Simplify the Usage of Lexicon in Chinese NERCode0
Raw-to-End Name Entity Recognition in Social MediaCode0
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition—0
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling TasksCode0
Building a Massive Corpus for Named Entity Recognition using Free Open Data Sources—0
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment—0
Fast and Accurate Capitalization and Punctuation for Automatic Speech Recognition Using Transformer and Chunk Merging—0
Augmenting Named Entity Recognition with Commonsense Knowledge—0
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