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WNUT - 2016
Total Papers:- 32
Total Papers accross all years:- 258
Total Citations :- 124
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Unsupervised Stemmer for Arabic Tweets
Fahad Albogamy |
Allan Ramsay |
Learning to recognise named entities in tweets by exploiting weakly labelled data
Kurt Junshean Espinosa |
Riza Theresa Batista-Navarro |
Sophia Ananiadou |
Learning to Search for Recognizing Named Entities in Twitter
Ioannis Partalas |
Cédric Lopez |
Nadia Derbas |
Ruslan Kalitvianski |
ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.
Michel Naim Gerguis |
Cherif Salama |
M. Watheq El-Kharashi |
UQAM-NTL: Named entity recognition in Twitter messages
Ngoc Tan Le |
Fatma Mallek |
Fatiha Sadat |
Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)
Bo Han |
Alan Ritter |
Leon Derczynski |
Wei Xu |
Tim Baldwin |
Processing non-canonical or noisy text: fortuitous data to the rescue
Barbara Plank |
From Entity Linking to Question Answering – Recent Progress on Semantic Grounding Tasks
Ming-Wei Chang |
DISAANA and D-SUMM: Large-scale Real Time NLP Systems for Analyzing Disaster Related Reports in Tweets
Kentaro Torisawa |
Disaster Analysis using User-Generated Weather Report
Yasunobu Asakura |
Masatsugu Hangyo |
Mamoru Komachi |
Veracity Computing from Lexical Cues and Perceived Certainty Trends
Uwe Reichel |
Piroska Lendvai |
Whose Nickname is This? Recognizing Politicians from Their Aliases
Wei-Chung Wang |
Hung-Chen Chen |
Zhi-Kai Ji |
Hui-I Hsiao |
Yu-Shian Chiu |
Lun-Wei Ku |
Towards Accurate Event Detection in Social Media: A Weakly Supervised Approach for Learning Implicit Event Indicators
Ajit Jain |
Girish Kasiviswanathan |
Ruihong Huang |
Topic Stability over Noisy Sources
Jing Su |
Derek Greene |
Oisín Boydell |
Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance
Julie Pain |
Jessie Levacher |
Adam Quinquenel |
Anja Belz |
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