---
title: "Workshop on Noisy User-generated Text 2016 — accepted papers"
description: "Workshop on Noisy User-generated Text 2016 — accepted papers: 2 papers in the Elamur Research library (Osaka, Japan), with our…"
canonical: "https://research.elamur.ai/free/en/venues/wnut/2016/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/wnut/2016/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/) / 2016

# Workshop on Noisy User-generated Text 2016 — accepted papers

Workshop on Noisy User-generated Text 2016 is the 2016 edition of the Workshop on Noisy User-generated Text, held in Osaka, Japan, December 2016 (publisher: Association for Computational Linguistics). OpenAlex lists 31 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Osaka, [Japan](https://md.research.elamur.ai/free/en/countries/japan/) · 🗓 December 2016

[**31** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/wnut/2016/#works) · [**26** citations of these works](https://md.research.elamur.ai/free/en/venues/wnut/2016/#works)

## All accepted papers (31)

The most cited first; 2 with our summary link to their page here, the others to the original.

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

[See all 31 papers in Workshop on Noisy User-generated Text 2016 — accepted papers →](https://md.research.elamur.ai/free/en/venues/wnut/2016/papers/)

## Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. **[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/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Marlies van der Wees, Arianna Bisazza, Christof Monz*2016 · 18 citations*
2. **[Unsupervised Stemmer for Arabic Tweets](https://md.research.elamur.ai/free/en/papers/albogamy-2016-unsupervised-stemmer-arabic-tweets/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Fahad Albogamy, Allan Ramsay*2016 · 8 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Semitic languages (2)](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Machine translation (1)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Morphology (1)](https://md.research.elamur.ai/free/en/topics/morphology/)

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Arianna Bisazza**1 work here · 18 citations](https://md.research.elamur.ai/free/en/authors/arianna-bisazza/) · [🧑‍🔬**Christof Monz**1 work here · 18 citations](https://md.research.elamur.ai/free/en/authors/christof-monz/) · [🧑‍🔬**Marlies van der Wees**1 work here · 18 citations](https://md.research.elamur.ai/free/en/authors/marlies-van-der-wees/) · [🧑‍🔬**Allan Ramsay**1 work here · 8 citations](https://md.research.elamur.ai/free/en/authors/allan-ramsay/) · [🧑‍🔬**Fahad Albogamy**1 work here · 8 citations](https://md.research.elamur.ai/free/en/authors/fahad-albogamy/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**University of Manchester** Manchester · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🎓**University of Amsterdam** Amsterdam · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous Workshop on Noisy User-generated Text 2015](https://md.research.elamur.ai/free/en/venues/wnut/2015/)
- [next → Workshop on Noisy User-generated Text 2017](https://md.research.elamur.ai/free/en/venues/wnut/2017/)
- [↑ back to Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)