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WNUT - 2016
Total Papers:- 32
Total Papers accross all years:- 258
Total Citations :- 124
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Results of the WNUT16 Named Entity Recognition Shared Task
Benjamin Strauss |
Bethany Toma |
Alan Ritter |
Marie-Catherine de Marneffe |
Wei Xu |
Bidirectional LSTM for Named Entity Recognition in Twitter Messages
Nut Limsopatham |
Nigel Collier |
Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text
Bo Han |
Afshin Rahimi |
Leon Derczynski |
Timothy Baldwin |
Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features
Lianhua Chi |
Kwan Hui Lim |
Nebula Alam |
Christopher J. Butler |
Japanese Text Normalization with Encoder-Decoder Model
Taishi Ikeda |
Hiroyuki Shindo |
Yuji Matsumoto |
CSIRO Data61 at the WNUT Geo Shared Task
Gaya Jayasinghe |
Brian Jin |
James Mchugh |
Bella Robinson |
Stephen Wan |
A Simple Scalable Neural Networks based Model for Geolocation Prediction in Twitter
Yasuhide Miura |
Motoki Taniguchi |
Tomoki Taniguchi |
Tomoko Ohkuma |
From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario
Héctor Martínez Alonso |
Djamé Seddah |
Benoît Sagot |
Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets
Billal Belainine |
Alexsandro Fonseca |
Fatiha Sadat |
Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization
Thales Felipe Costa Bertaglia |
Maria das Graças Volpe Nunes |
Feature-Rich Twitter Named Entity Recognition and Classification
Utpal Kumar Sikdar |
Björn Gambäck |
Semi-supervised Named Entity Recognition in noisy-text
Shubhanshu Mishra |
Jana Diesner |
Private or Corporate? Predicting User Types on Twitter
Nikola Ljubešić |
Darja Fišer |
A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation
Marlies van der Wees |
Arianna Bisazza |
Christof Monz |
Name Variation in Community Question Answering Systems
Anietie Andy |
Satoshi Sekine |
Mugizi Rwebangira |
Mark Dredze |
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