Search Results - "Krishnan, Jitin"

Unsupervised Cross-Domain and Cross-Lingual Methods for Text Classification, Slot-Filling, and Question-Answering by Krishnan, Jitin

“…Transfer learning has significantly revolutionized modern machine learning systems by instilling the ability to use the knowledge gained from solving one…”
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Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services by Krishnan, Jitin, Purohit, Hemant, Rangwala, Huzefa

“…During the onset of a natural or man-made crisis event, public often share relevant information for emergency services on social web platforms such as Twitter…”
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Cross-Lingual Text Classification of Transliterated Hindi and Malayalam by Krishnan, Jitin, Anastasopoulos, Antonios, Purohit, Hemant, Rangwala, Huzefa

“…Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work,…”
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Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services by Krishnan, Jitin, Purohit, Hemant, Rangwala, Huzefa

“…During the onset of a disaster event, filtering relevant information from the social web data is challenging due to its sparse availability and practical…”
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Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift by Krishnan, Jitin, Purohit, Hemant, Rangwala, Huzefa

“…Domain adaptation approaches seek to learn from a source domain and generalize it to an unseen target domain. At present, the state-of-the-art unsupervised…”
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Cross-Lingual Text Classification of Transliterated Hindi and Malayalam by Krishnan, Jitin, Anastasopoulos, Antonios, Purohit, Hemant, Rangwala, Huzefa

“…Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work,…”
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Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling by Krishnan, Jitin, Anastasopoulos, Antonios, Purohit, Hemant, Rangwala, Huzefa

“…Predicting user intent and detecting the corresponding slots from text are two key problems in Natural Language Understanding (NLU). In the context of…”
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Representation Deficiency in Masked Language Modeling by Meng, Yu, Krishnan, Jitin, Wang, Sinong, Wang, Qifan, Mao, Yuning, Fang, Han, Ghazvininejad, Marjan, Han, Jiawei, Zettlemoyer, Luke

“…Masked Language Modeling (MLM) has been one of the most prominent approaches for pretraining bidirectional text encoders due to its simplicity and…”
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Common-Knowledge Concept Recognition for SEVA by Krishnan, Jitin, Coronado, Patrick, Purohit, Hemant, Rangwala, Huzefa

“…We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as…”
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