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ORCIDNUT@EMNLP 2018: Brussels, Belgium
- Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi:
Proceedings of the 4th Workshop on Noisy User-generated Text, NUT@EMNLP 2018, Brussels, Belgium, November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-79-7 - Philippa Shoemark
, James Kirby, Sharon Goldwater:
Inducing a lexicon of sociolinguistic variables from code-mixed text. 1-6 - Taro Miyazaki, Afshin Rahimi, Trevor Cohn, Timothy Baldwin:
Twitter Geolocation using Knowledge-Based Methods. 7-16 - Keith Harrigian:
Geocoding Without Geotags: A Text-based Approach for reddit. 17-27 - Revanth Rameshkumar, Peter Bailey, Abhishek Jha, Chris Quirk:
Assigning people to tasks identified in email: The EPA dataset for addressee tagging for detected task intent. 28-32 - Junchao Zheng, Courtney Napoles, Joel R. Tetreault:
How do you correct run-on sentences it's not as easy as it seems. 33-38 - Ryo Nagata, Tomoya Mizumoto, Yuta Kikuchi, Yoshifumi Kawasaki, Kotaro Funakoshi:
A POS Tagging Model Adapted to Learner English. 39-48 - Soumil Mandal, Karthick Nanmaran:
Normalization of Transliterated Words in Code-Mixed Data Using Seq2Seq Model & Levenshtein Distance. 49-53 - Valentin Malykh, Varvara Logacheva, Taras Khakhulin:
Robust Word Vectors: Context-Informed Embeddings for Noisy Texts. 54-63 - Eetu Sjöblom, Mathias Creutz, Mikko Aulamo:
Paraphrase Detection on Noisy Subtitles in Six Languages. 64-73 - Lisheng Fu, Pablo Barrio:
Distantly Supervised Attribute Detection from Reviews. 74-78 - Adriane Boyd:
Using Wikipedia Edits in Low Resource Grammatical Error Correction. 79-84 - Kemal Kurniawan, Samuel Louvan:
Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts. 85-92 - Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Orthogonal Matching Pursuit for Text Classification. 93-103 - R. Andrew Kreek, Emilia Apostolova:
Training and Prediction Data Discrepancies: Challenges of Text Classification with Noisy, Historical Data. 104-109 - Zeynep Yirmibesoglu, Gülsen Eryigit:
Detecting Code-Switching between Turkish-English Language Pair. 110-115 - Soumil Mandal, Anil Kumar Singh:
Language Identification in Code-Mixed Data using Multichannel Neural Networks and Context Capture. 116-120 - Luciana Benotti, Jayadev Bhaskaran, Sigtryggur Kjartansson, David Lang:
Modeling Student Response Times: Towards Efficient One-on-one Tutoring Dialogues. 121-131 - Sergiu Nisioi, Anca Bucur, Liviu P. Dinu:
Content Extraction and Lexical Analysis from Customer-Agent Interactions. 132-136 - Steven Xu, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, Timothy Baldwin:
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata. 137-147 - Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira:
Word-like character n-gram embedding. 148-152 - Kiminobu Makino, Yuka Takei, Taro Miyazaki, Jun Goto:
Classification of Tweets about Reported Events using Neural Networks. 153-163 - Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal, William W. Cohen:
Learning to Define Terms in the Software Domain. 164-172 - Dan Iter, Alon Y. Halevy, Wang-Chiew Tan:
FrameIt: Ontology Discovery for Noisy User-Generated Text. 173-183 - Adrian Benton, Mark Dredze:
Using Author Embeddings to Improve Tweet Stance Classification. 184-194 - Jan Vium Enghoff, Søren Harrison, Zeljko Agic:
Low-resource named entity recognition via multi-source projection: Not quite there yet? 195-201 - Lisheng Fu, Bonan Min, Thien Huu Nguyen, Ralph Grishman:
A Case Study on Learning a Unified Encoder of Relations. 202-207 - Zach Wood-Doughty, Nicholas Andrews, Mark Dredze:
Convolutions Are All You Need (For Classifying Character Sequences). 208-213 - Shintaro Inuzuka, Takahiko Ito, Jun Harashima:
Step or Not: Discriminator for The Real Instructions in User-generated Recipes. 214 - Daniel Hanson, Andrea Simenstad:
Combining Human and Machine Transcriptions on the Zooniverse Platform. 215-216
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