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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 751–760 of 1729 papers

TitleStatusHype
H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship—0
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity RecognitionCode0
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction—0
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF—0
An Ensemble-based approach for assigning text to correct Harmonized system code—0
Unintended Memorization and Timing Attacks in Named Entity Recognition Models—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges—0
CrowNER at Rocling 2022 Shared Task: NER using MacBERT and Adversarial Training—0
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