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MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers
Conversational agents such as Cortana, Alexa and Siri are continuously working on increasing their capabilities by adding new domains.
Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty
We show that this method outperforms state-of-the-art semi-supervised learning algorithms on three different prediction tasks using mobile phone datasets from three different developing countries.
Determinants of Mobile Money Adoption in Pakistan
In this work, we analyze the problem of adoption of mobile money in Pakistan by using the call detail records of a major telecom company as our input.
Machine Learning Across Cultures: Modeling the Adoption of Financial Services for the Poor
Recently, mobile operators in many developing economies have launched "Mobile Money" platforms that deliver basic financial services over the mobile phone network.
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