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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 1561–1570 of 1729 papers

TitleStatusHype
Neural Cross-Lingual Named Entity Recognition with Minimal ResourcesCode0
JBNU-CCLab at SemEval-2022 Task 12: Machine Reading Comprehension and Span Pair Classification for Linking Mathematical Symbols to Their DescriptionsCode0
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in DanishCode0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot TransferCode0
Joint Automatic Speech Recognition And Structure Learning For Better Speech UnderstandingCode0
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?Code0
Truth Discovery in Sequence Labels from CrowdsCode0
Searching for Optimal Subword Tokenization in Cross-domain NERCode0
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal DataCode0
Neural Mention DetectionCode0
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