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Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition
Leon Derczynski
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Eric Nichols
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Marieke van Erp
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Nut Limsopatham
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
WNUT |
WS |
Citations
URL
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
Gustavo Aguilar
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Adrian Pastor López-Monroy
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Fabio González
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Thamar Solorio
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A Multi-task Approach for Named Entity Recognition in Social Media Data
Gustavo Aguilar
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Suraj Maharjan
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Adrian Pastor López-Monroy
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Thamar Solorio
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Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets
Pius von Däniken
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Mark Cieliebak
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A Feature-based Ensemble Approach to Recognition of Emerging and Rare Named Entities
Utpal Kumar Sikdar
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Björn Gambäck
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Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
Daniel Pressel
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Sagnik Ray Choudhury
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Brian Lester
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Yanjie Zhao
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Matt Barta
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Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data
Devanshu Jain
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Maria Kustikova
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Mayank Darbari
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Rishabh Gupta
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Stephen Mayhew
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The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018
Florian Janke
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Tongrui Li
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Eric Rincón
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Gualberto Guzmán
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Barbara Bullock
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Almeida Jacqueline Toribio
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IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data
Shashwat Trivedi
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Harsh Rangwani
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Anil Kumar Singh
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https://stackexchange.com
https://archive.org/download/
http://gate.ac.uk/sale/tao/index.html
Field Of Study
Task
Named Entity Recognition
Information Extraction
Language
Multilingual
English
Dataset
News
Social Media
Twitter
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