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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 71–80 of 1729 papers

TitleStatusHype
BNLP: Natural language processing toolkit for Bengali languageCode1
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer NetworksCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
A Named Entity Based Approach to Model RecipesCode1
A Human Subject Study of Named Entity Recognition (NER) in Conversational Music Recommendation QueriesCode1
A Label-Aware Autoregressive Framework for Cross-Domain NERCode1
A Large-Scale Chinese Multimodal NER Dataset with Speech CluesCode1
ALBETO and DistilBETO: Lightweight Spanish Language ModelsCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity RecognitionCode1
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