A systemic functional linguistics approach to implicit entity recognition in tweets-Reference-Cited by-同舟云学术

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A systemic functional linguistics approach to implicit entity recognition in tweets

Published:2022-07 Issue:4 Volume:59 Page:102957
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Hosseini Hawre,Mansouri Mehran,Bagheri Ebrahim^ORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference52 articles.

1. Automatic ontology construction from text: a review from shallow to deep learning trend;Al-Aswadi;Artificial Intelligence Review,2020

2. A general organization of knowledge for natural language processing: the penman upper model;Bateman,1990

3. A maximum entropy approach to natural language processing;Berger;Computational Linguistics,1996

4. Nymble: a high-performance learning name-finder;Bikel,1997

5. Reddit entity linking dataset;Botzer;Information Processing & Management,2021

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1. LaQuE: Enabling Entity Search at Scale;Lecture Notes in Computer Science;2024

2. A Multi-Task Framework Based on Decomposition for Multimodal Named Entity Recognition;2024

3. Named Entity Recognition from Chinese Medical Literature Based on Deep Learning Method;2023 China Automation Congress (CAC);2023-11-17

4. A Chinese Grammatical Error Correction Model Based On Grammatical Generalization And Parameter Sharing;The Computer Journal;2023-09-01

5. USAF: Multimodal Chinese named entity recognition using synthesized acoustic features;Information Processing & Management;2023-05

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