Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media-Reference-Cited by-同舟云学术

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Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
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Author:

Aguilar Gustavo,López Monroy Adrian Pastor,González Fabio,Solorio Thamar

Publisher

Association for Computational Linguistics

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Entity linking for English and other languages: a survey;Knowledge and Information Systems;2024-04-02

2. Research on Chinese Named Entity Recognition Based on Lexical Information and Spatial Features;Applied Sciences;2024-03-07

3. Combining UAV and Sentinel-2 Imagery for Estimating Millet FCover in a Heterogeneous Agricultural Landscape of Senegal;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. 複数の補助教師データを用いた固有表現抽出の学習手法;Journal of Natural Language Processing;2023

5. Investigating annotation noise for named entity recognition;Neural Computing and Applications;2022-09-24

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