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How Noisy Social Media Text, How Diffrnt Social Media Sources?
Timothy Baldwin
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Paul Cook
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Marco Lui
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Andrew MacKinlay
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Li Wang
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Paper Details:
Month: October
Year: 2013
Location: Nagoya, Japan
Venue:
IJCNLP |
Citations
URL
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages
Nut Limsopatham
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Nigel Collier
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Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets
Leon Derczynski
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Kalina Bontcheva
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Entity Linking for Spoken Language
Adrian Benton
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Mark Dredze
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Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings
Luchen Tan
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Haotian Zhang
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Charles Clarke
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Mark Smucker
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Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation
Nut Limsopatham
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Nigel Collier
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Predicting the Level of Text Standardness in User-generated Content
Nikola Ljubešić
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Darja Fišer
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Tomaž Erjavec
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Jaka Čibej
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Dafne Marko
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Senja Pollak
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Iza Škrjanec
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TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay
Mladen Karan
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Goran Glavaš
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Jan Šnajder
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Bojana Dalbelo Bašić
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Ivan Vulić
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Marie-Francine Moens
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Automatic Identification of Expressions of Locations in Tweet Messages using Conditional Random Fields
Fei Liu
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Afshin Rahimi
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Bahar Salehi
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Miji Choi
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Ping Tan
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Long Duong
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Mining Lexical Variants from Microblogs: An Unsupervised Multilingual Approach
Alejandro Mosquera
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Paloma Moreda Pozo
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What I’ve learned about annotating informal text (and why you shouldn’t take my word for it)
Nathan Schneider
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Investigating Public Health Surveillance using Twitter
Antonio Jimeno Yepes
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Andrew MacKinlay
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Bo Han
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Stylistic Variation in Social Media Part-of-Speech Tagging
Murali Raghu Babu Balusu
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Taha Merghani
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Jacob Eisenstein
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Corpora of social media in minority Uralic languages
Timofey Arkhangelskiy
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http://rankings.big-boards.com
http://www.cis.uni-muenchen.de/
Field Of Study
Task
Language Identification
Tagging
Approach
Unsupervised Learning
Language
English
Malay
Japanese
Spanish
Dataset
News
Social Media
Twitter
Blogs
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