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ORCIDNUT@EMNLP 2017: Copenhagen, Denmark
- Leon Derczynski, Wei Xu, Alan Ritter, Tim Baldwin:
Proceedings of the 3rd Workshop on Noisy User-generated Text, NUT@EMNLP 2017, Copenhagen, Denmark, September 7, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-94-4 - Jake Ryland Williams:
Boundary-based MWE segmentation with text partitioning. 1-10 - Francesco Barbieri, Luis Espinosa Anke, Miguel Ballesteros, Juan Soler Company, Horacio Saggion:
Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes. 11-20 - Mourad Gridach, Hatem Haddad, Hala Mulki:
Churn Identification in Microblogs using Convolutional Neural Networks with Structured Logical Knowledge. 21-30 - Rob van der Goot, Barbara Plank, Malvina Nissim:
To normalize, or not to normalize: The impact of normalization on Part-of-Speech tagging. 31-39 - Anietie Andy, Mark Dredze, Mugizi Rwebangira, Chris Callison-Burch:
Constructing an Alias List for Named Entities during an Event. 40-44 - Linzi Xing, Michael J. Paul:
Incorporating Metadata into Content-Based User Embeddings. 45-49 - Chris Emmery, Grzegorz Chrupala
, Walter Daelemans:
Simple Queries as Distant Labels for Predicting Gender on Twitter. 50-55 - Su Lin Blodgett, Johnny Wei, Brendan O'Connor:
A Dataset and Classifier for Recognizing Social Media English. 56-61 - Bahar Salehi, Anders Søgaard:
Evaluating hypotheses in geolocation on a very large sample of Twitter. 62-67 - Fraser Bowen, Jon Dehdari, Josef van Genabith:
The Effect of Error Rate in Artificially Generated Data for Automatic Preposition and Determiner Correction. 68-76 - Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski:
An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. 77-84 - Osman Tursun, Ruken Cakici:
Noisy Uyghur Text Normalization. 85-93 - Johannes Welbl, Nelson F. Liu, Matt Gardner:
Crowdsourcing Multiple Choice Science Questions. 94-106 - Emma Flint, Elliot Ford, Olivia Thomas, Andrew Caines, Paula Buttery:
A Text Normalisation System for Non-Standard English Words. 107-115 - Bahar Salehi, Dirk Hovy, Eduard H. Hovy, Anders Søgaard:
Huntsville, hospitals, and hockey teams: Names can reveal your location. 116-121 - Myungha Jang, Jinho D. Choi, James Allan:
Improving Document Clustering by Removing Unnatural Language. 122-130 - Preeti Bhargava, Nemanja Spasojevic, Guoning Hu:
Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media. 131-139 - Leon Derczynski, Eric Nichols, Marieke van Erp, Nut Limsopatham:
Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition. 140-147 - Gustavo Aguilar, Suraj Maharjan, Adrián Pastor López-Monroy, Thamar Solorio:
A Multi-task Approach for Named Entity Recognition in Social Media Data. 148-153 - Patrick Jansson, Shuhua Liu:
Distributed Representation, LDA Topic Modelling and Deep Learning for Emerging Named Entity Recognition from Social Media. 154-159 - Bill Y. Lin, Frank F. Xu, Zhiyi Luo, Kenny Q. Zhu:
Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media. 160-165 - Pius von Däniken, Mark Cieliebak:
Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets. 166-171 - Jake Ryland Williams, Giovanni C. Santia:
Context-Sensitive Recognition for Emerging and Rare Entities. 172-176 - Utpal Kumar Sikdar, Björn Gambäck:
A Feature-based Ensemble Approach to Recognition of Emerging and Rare Named Entities. 177-181
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