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Semantic Scholar3rd Workshop on Computational Approaches to Linguistic Code Switching@ACL 2018: Melbourne, Australia
Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Thamar Solorio, Mona T. Diab, Julia Hirschberg:
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, Melbourne, Australia, July 19, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-45-2- Victor Soto, Julia Hirschberg:
Joint Part-of-Speech and Language ID Tagging for Code-Switched Data. 1-10 - Sunit Sivasankaran, Brij Mohan Lal Srivastava, Sunayana Sitaram, Kalika Bali, Monojit Choudhury:
Phone Merging For Code-Switched Speech Recognition. 11-19 - Wafia Adouane, Jean-Philippe Bernardy, Simon Dobnik:
Improving Neural Network Performance by Injecting Background Knowledge: Detecting Code-switching and Borrowing in Algerian texts. 20-28 - Khyathi Raghavi Chandu, Ekaterina Loginova, Vishal Gupta, Josef van Genabith, Günter Neumann, Manoj Kumar Chinnakotla, Eric Nyberg, Alan W. Black:
Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques. 29-38 - Vishal Gupta, Manoj Kumar Chinnakotla, Manish Shrivastava:
Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base. 39-50 - Deepthi Mave, Suraj Maharjan, Thamar Solorio:
Language Identification and Analysis of Code-Switched Social Media Text. 51-61 - Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, Pascale Fung:
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning. 62-67 - Barbara Bullock, Wally Guzman, Jacqueline Serigos, Vivek Sharath, Almeida Jacqueline Toribio:
Predicting the presence of a Matrix Language in code-switching. 68-75 - Sai Krishna Rallabandi, Sunayana Sitaram, Alan W. Black:
Automatic Detection of Code-switching Style from Acoustics. 76-81 - Khyathi Raghavi Chandu, Thomas Manzini, Sumeet Singh, Alan W. Black:
Language Informed Modeling of Code-Switched Text. 92-97 - Mohammed Attia, Younes Samih, Wolfgang Maier:
GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks. 98-102 - Devanshu Jain, Maria Kustikova, Mayank Darbari, Rishabh Gupta, Stephen Mayhew:
Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data. 103-109 - Genta Indra Winata, Chien-Sheng Wu, Andrea Madotto, Pascale Fung:
Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition. 110-114 - Utpal Kumar Sikdar, Biswanath Barik, Björn Gambäck:
Named Entity Recognition on Code-Switched Data Using Conditional Random Fields. 115-119 - Florian Janke, Tongrui Li, Eric Rincón, Gualberto A. Guzmán, Barbara Bullock, Almeida Jacqueline Toribio:
The University of Texas System Submission for the Code-Switching Workshop Shared Task 2018. 120-125 - Parvathy Geetha, Khyathi Raghavi Chandu, Alan W. Black:
Tackling Code-Switched NER: Participation of CMU. 126-131 - Daniel Claeser, Samantha Kent, Dennis Felske:
Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines. 132-137 - Gustavo Aguilar, Fahad AlGhamdi, Victor Soto, Mona T. Diab, Julia Hirschberg, Thamar Solorio:
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task. 138-147 - Shashwat Trivedi, Harsh Rangwani, Anil Kumar Singh:
IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data. 148-153 - Changhan Wang, Kyunghyun Cho, Douwe Kiela:
Code-Switched Named Entity Recognition with Embedding Attention. 154-158
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