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TweeNLP
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Team
Improving Twitter Named Entity Recognition using Word Representations
Zhiqiang Toh
|
Bin Chen
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Jian Su
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
WNUT |
WS |
Citations
URL
Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition
Timothy Baldwin
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Marie Catherine de Marneffe
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Bo Han
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Young-Bum Kim
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Alan Ritter
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Wei Xu
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Learning to recognise named entities in tweets by exploiting weakly labelled data
Kurt Junshean Espinosa
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Riza Theresa Batista-Navarro
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Sophia Ananiadou
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ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.
Michel Naim Gerguis
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Cherif Salama
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M. Watheq El-Kharashi
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Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines
Daniel Claeser
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Samantha Kent
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Dennis Felske
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http://nlp.stanford.edu/projects/glove/
https://catalog.ldc.upenn.edu/LDC2011T07
https://github.com/myleott/ark-twokenize-py
https://github.com/percyliang/brown-cluster/
https://code.google.com/p/word2vec/
https://spark.apache.org/mllib/
http://taku910.github.io/crfpp/
Field Of Study
Task
Language Identification
Named Entity Recognition
Information Extraction
Sentiment Analysis
Language
English
Dataset
Twitter
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