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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 361–370 of 1729 papers

TitleStatusHype
Aspect-Based Sentiment Analysis and Singer Name Entity Recognition using Parameter Generation Network Based Transfer Learning—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences—0
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER—0
Cross-lingual Pseudo-Projected Expectation Regularization for Weakly Supervised Learning—0
CU-NLP at SemEval-2016 Task 8: AMR Parsing using LSTM-based Recurrent Neural Networks—0
De-Bias for Generative Extraction in Unified NER Task—0
AsNER - Annotated Dataset and Baseline for Assamese Named Entity recognition—0
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition—0
AsNER -- Annotated Dataset and Baseline for Assamese Named Entity recognition—0
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