---
title: "Workshop on Noisy User-generated Text 2016 — all accepted"
description: "All 31 papers of Workshop on Noisy User-generated Text 2016, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/wnut/2016/papers/"
---
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# Workshop on Noisy User-generated Text 2016: all accepted papers

31 papers · the most cited first · [← Workshop on Noisy User-generated Text 2016](https://md.research.elamur.ai/free/en/venues/wnut/2016/)

1. **[A Simple Scalable Neural Networks based Model for Geolocation Prediction in Twitter ↗](https://aclanthology.org/W16-3931/)**Yasuhide Miura, Motoki Taniguchi, Tomoki Taniguchi et al.
2. **[A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/wees-2016-simple-but-effective-approach-improve/)**Marlies van der Wees, Arianna Bisazza, Christof Monz*our summary*
3. **[ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition. ↗](https://aclanthology.org/W16-3925/)**Michel Naim Gerguis, Cherif Salama, M. Watheq El-Kharashi
4. **[Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance ↗](https://aclanthology.org/W16-3914/)**Julie Pain, Jessie Levacher, Adam Quinquenel et al.
5. **[Bidirectional LSTM for Named Entity Recognition in Twitter Messages ↗](https://aclanthology.org/W16-3920/)**Nut Limsopatham, Nigel Collier
6. **[CSIRO Data61 at the WNUT Geo Shared Task ↗](https://aclanthology.org/W16-3929/)**Gaya Jayasinghe, Brian Jin, James Mchugh et al.
7. **[DISAANA and D-SUMM: Large-scale Real Time NLP Systems for Analyzing Disaster Related Reports in Tweets ↗](https://aclanthology.org/W16-3903/)**Kentaro Torisawa
8. **[DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets ↗](https://aclanthology.org/W16-3924/)**Fabrice Dugas, Eric Nichols
9. **[Disaster Analysis using User-Generated Weather Report ↗](https://aclanthology.org/W16-3906/)**Yasunobu Asakura, Masatsugu Hangyo, Mamoru Komachi
10. **[Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization ↗](https://aclanthology.org/W16-3916/)**Thales Felipe Costa Bertaglia, Maria das Graças Volpe Nunes
11. **[Feature-Rich Twitter Named Entity Recognition and Classification ↗](https://aclanthology.org/W16-3922/)**Utpal Kumar Sikdar, Björn Gambäck
12. **[From Entity Linking to Question Answering – Recent Progress on Semantic Grounding Tasks ↗](https://aclanthology.org/W16-3902/)**Ming-Wei Chang
13. **[From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario ↗](https://aclanthology.org/W16-3905/)**Héctor Martínez Alonso, Djamé Seddah, Benoît Sagot
14. **[Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features ↗](https://aclanthology.org/W16-3930/)**Lianhua Chi, Kwan Hui Lim, Nebula Alam et al.
15. **[How Document Pre-processing affects Keyphrase Extraction Performance ↗](https://aclanthology.org/W16-3917/)**Florian Boudin, Hugo Mougard, Damien Cram
16. **[Japanese Text Normalization with Encoder-Decoder Model ↗](https://aclanthology.org/W16-3918/)**Taishi Ikeda, Hiroyuki Shindo, Yuji Matsumoto
17. **[Learning to Search for Recognizing Named Entities in Twitter ↗](https://aclanthology.org/W16-3923/)**Ioannis Partalas, Cédric Lopez, Nadia Derbas et al.
18. **[Learning to recognise named entities in tweets by exploiting weakly labelled data ↗](https://aclanthology.org/W16-3921/)**Kurt Junshean Espinosa, Riza Theresa Batista-Navarro, Sophia Ananiadou
19. **[Name Variation in Community Question Answering Systems ↗](https://aclanthology.org/W16-3909/)**Anietie Andy, Satoshi Sekine, Mugizi Rwebangira et al.
20. **[Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets ↗](https://aclanthology.org/W16-3915/)**Billal Belainine, Alexsandro Fonseca, Fatiha Sadat
21. **[Private or Corporate? Predicting User Types on Twitter ↗](https://aclanthology.org/W16-3904/)**Nikola Ljubešić, Darja Fišer
22. **[Processing non-canonical or noisy text: fortuitous data to the rescue ↗](https://aclanthology.org/W16-3901/)**Barbara Plank
23. **[Results of the WNUT16 Named Entity Recognition Shared Task ↗](https://aclanthology.org/W16-3919/)**Benjamin Strauss, Bethany Toma, Alan Ritter et al.
24. **[Semi-supervised Named Entity Recognition in noisy-text ↗](https://aclanthology.org/W16-3927/)**Shubhanshu Mishra, Jana Diesner
25. **[Topic Stability over Noisy Sources ↗](https://aclanthology.org/W16-3913/)**Jing Su, Derek Greene, Oisín Boydell
26. **[Towards Accurate Event Detection in Social Media: A Weakly Supervised Approach for Learning Implicit Event Indicators ↗](https://aclanthology.org/W16-3911/)**Ajit Jain, Girish Kasiviswanathan, Ruihong Huang
27. **[Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text ↗](https://aclanthology.org/W16-3928/)**Bo Han, Afshin Rahimi, Leon Derczynski et al.
28. **[UQAM-NTL: Named entity recognition in Twitter messages ↗](https://aclanthology.org/W16-3926/)**Ngoc Tan Le, Fatma Mallek, Fatiha Sadat
29. **[Unsupervised Stemmer for Arabic Tweets](https://md.research.elamur.ai/free/en/papers/albogamy-2016-unsupervised-stemmer-arabic-tweets/)**Fahad Albogamy, Allan Ramsay*our summary*
30. **[Veracity Computing from Lexical Cues and Perceived Certainty Trends ↗](https://aclanthology.org/W16-3907/)**Uwe Reichel, Piroska Lendvai
31. **[Whose Nickname is This? Recognizing Politicians from Their Aliases ↗](https://aclanthology.org/W16-3910/)**Wei-Chung Wang, Hung-Chen Chen, Zhi-Kai Ji et al.
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