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ORCIDNUT@IJCNLP 2015: Beijing, China
- Wei Xu, Bo Han, Alan Ritter:
Proceedings of the Workshop on Noisy User-generated Text, NUT@IJCNLP 2015, Beijing, China, July 31, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-69-3 - Teresa Lynn, Kevin P. Scannell
, Eimear Maguire:
Minority Language Twitter: Part-of-Speech Tagging and Analysis of Irish Tweets. 1-8 - Anna Jørgensen, Dirk Hovy, Anders Søgaard:
Challenges of studying and processing dialects in social media. 9-18 - Mohammad Arshi Saloot, Norisma Idris, Nor Liyana Mohd Shuib, Ram Gopal Raj, AiTi Aw:
Toward Tweets Normalization Using Maximum Entropy. 19-27 - Marlies van der Wees, Arianna Bisazza, Christof Monz:
Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text. 28-37 - Magali Sanches Duran, Maria das Graças Volpe Nunes, Lucas Avanço:
A Normalizer for UGC in Brazilian Portuguese. 38-47 - Leon Derczynski, Isabelle Augenstein, Kalina Bontcheva:
USFD: Twitter NER with Drift Compensation and Linked Data. 48-53 - Colin Cherry, Hongyu Guo, Chengbi Dai:
NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter. 54-60 - Md. Shad Akhtar, Utpal Kumar Sikdar, Asif Ekbal:
IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition. 61-67 - Tian Tian, Marco Dinarelli, Isabelle Tellier:
Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF. 68-71 - Eun-Suk Yang, Yu-Seop Kim:
Hallym: Named Entity Recognition on Twitter with Word Representation. 72-77 - Dmitry Supranovich, Viachaslau Patsepnia:
IHS_RD: Lexical Normalization for English Tweets. 78-81 - Russell Beckley:
Bekli: A Simple Approach to Twitter Text Normalization. 82-86 - Ning Jin:
NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization. 87-92 - Joachim Wagner, Jennifer Foster:
DCU-ADAPT: Learning Edit Operations for Microblog Normalisation with the Generalised Perceptron. 93-98 - Yerai Doval, Jesús Vilares, Carlos Gómez-Rodríguez:
LYSGROUP: Adapting a Spanish microtext normalization system to English. 99-105 - Md. Shad Akhtar, Utpal Kumar Sikdar, Asif Ekbal:
IITP: Hybrid Approach for Text Normalization in Twitter. 106-110 - Wookhee Min, Bradford W. Mott:
NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization. 111-119 - Gábor Berend, Ervin Tasnádi:
USZEGED: Correction Type-sensitive Normalization of English Tweets Using Efficiently Indexed n-gram Statistics. 120-125 - Timothy Baldwin, Marie-Catherine de Marneffe, Bo Han, Young-Bum Kim, Alan Ritter, Wei Xu:
Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition. 126-135 - Ikuya Yamada, Hideaki Takeda, Yoshiyasu Takefuji:
Enhancing Named Entity Recognition in Twitter Messages Using Entity Linking. 136-140 - Zhiqiang Toh, Bin Chen, Jian Su:
Improving Twitter Named Entity Recognition using Word Representations. 141-145 - Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle:
Multimedia Lab $@$ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations. 146-153 - Samuel P. Leeman-Munk, James C. Lester:
NCSU_SAS_SAM: Deep Encoding and Reconstruction for Normalization of Noisy Text. 154-161 - Julie Wulff, Anders Søgaard:
Learning finite state word representations for unsupervised Twitter adaptation of POS taggers. 162-166 - Fahad R. Albogamy, Allan Ramasy:
Towards POS Tagging for Arabic Tweets. 167-171
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