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Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
Deepak Gupta
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Pabitra Lenka
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Asif Ekbal
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Pushpak Bhattacharyya
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Paper Details:
Month: October
Year: 2018
Location: Brussels, Belgium
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
No Citations Yet
http://www.iitp.ac.in/~ai-nlp-ml/
http://cogcomp.org/Data/QA/QC/
http://fire.irsi.res.in/fire/2015/home
http://ltrc.iiit.ac.in/icon2015/
http://ltrc.iiit.ac.in/showfile.php?
http://polyglot.readthedocs.io/en/latest/
http://ufal.mff.cuni.cz/hindencorp
http://norvig.com/ngrams/
https://github.com/libindic/indic-trans
Field Of Study
Linguistic Trends
Embeddings
Code Mixing
Task
Language Identification
Tagging
Sentiment Analysis
Question Answering
Machine Translation
Approach
Deep Learning
Language
Multilingual
English
Hindi
Spanish
Dataset
Social Media
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