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Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling ...
Abstract: Predicting user intent and detecting the corresponding slots from text are two key problems in Natural Language Understanding (NLU). In the context of zero-shot learning, this task is typically approached by either using representations from pre-trained multilingual transformers such as mBERT, or by machine translating the source data into the known target language and then fine-tuning. Our work focuses on a particular scenario where the target language is unknown during training. To this goal, we propose a novel method to augment the monolingual source data using multilingual code-switching via random translations to enhance a transformer's language neutrality when fine-tuning it for a downstream task. This method also helps discover novel insights on how code-switching with different language families around the world impact the performance on the target language. Experiments on the benchmark dataset of MultiATIS++ yielded an average improvement of +4.2% in accuracy for intent task and +1.8% in F1 for slot ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/2103.07792
https://dx.doi.org/10.48550/arxiv.2103.07792
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Cross-Lingual Text Classification of Transliterated Hindi and Malayalam ...
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3
What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
In: Valerie Shalin (2017)
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4
What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
In: Valerie Shalin (2017)
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5
Intent Classification of Short-Text on Social Media
In: Valerie Shalin (2017)
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6
Intent Classification of Short-Text on Social Media
In: Amit P. Sheth (2016)
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7
Intent Classification of Short-Text on Social Media
In: Krishnaprasad Thirunarayan (2016)
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8
Intent Classification of Short-Text on Social Media
In: Publications (2015)
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9
Intent Classification of Short-Text on Social Media
In: Publications (2015)
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10
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
In: John M. Flach (2015)
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11
What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
In: John M. Flach (2015)
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12
Intent Classification of Short-Text on Social Media
In: Kno.e.sis Publications (2015)
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13
What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
In: John M. Flach (2015)
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14
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
In: Publications (2014)
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15
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
In: Amit P. Sheth (2014)
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16
What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
In: Amit P. Sheth (2014)
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17
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
In: Kno.e.sis Publications (2014)
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18
What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
In: Amit P. Sheth (2014)
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19
Twitris v3: From Citizen Sensing to Analysis, Coordination and Action
In: Amit P. Sheth (2014)
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20
What kind of #conversation is Twitter? Mining #psycholinguistic cues for emergency coordination
In: Computers in human behavior. - Amsterdam [u.a.] : Elsevier 29 (2013) 6, 2438-2447
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