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职业迁徙
个人简介
Current research interests
Representation learning for graph search
We are exploring how to go beyond shallow graph neural networks to represent nodes, edges and graphs for better link prediction and searching a corpus of graphs with a query graph with trainable notions of subgraph isomorphism.
Better embedding representation for entities, types, relations, and time
We are studying how to embed entities, types, relations and time to infer new edges in regular and temporal knowledge graphs, and their application to (temporal) question answering.
Complex multi-modal question answering
With IBM Research, I am exploring how to translate complex queries involving knowledge base access, arithmetic and logical operations into structured programs with memory.
Code-switched text analysis
Indian languages borrow heavily from English, resulting in ``code switching'' languages like Hindlish, Benglish, etc., the lingua franca of social media. We are investigating how to improve standard NLP tasks by generating synthetic code-switched text, and designing multi-task low-supervision recurrent networks.
研究兴趣
论文共 278 篇作者统计合作学者相似作者
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Anshul Mittal, Shikhar Mohan,Deepak Saini, Suchith C. Prabhu, Jain jiao,Sumeet Agarwal,Soumen Chakrabarti,Purushottam Kar,Manik Varma
CoRR (2024)
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CoRR (2024)
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CoRR (2023): 3675-3691
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CoRR (2023)
CoRR (2023): 14054-14066
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