Papers by NIloy Ganguly

2 papers
Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework (2021.findings-emnlp)

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Challenge: EMQAP is an automated question answering system for electronics devices . it uses a supervised multitask learning framework to identify the section in the E-manual where the answer can be found and the exact answer span within that section.
Approach: They develop an algorithm to exploit data from E-manuals and pretrain RoBERTa on it.
Outcome: The proposed algorithm improves ROUGE-L F1 scores over most competitive baseline.
A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow (2021.acl-long)

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Challenge: Existing text-style transfer techniques focus on flipping the style attribute polarity instead of fine-grained regulation of attributes to generate multiple variants of a sentence.
Approach: They propose a hierarchical architecture for finer control over the attribute, preserving content using attribute dis- entanglement.
Outcome: The proposed framework generates natural looking sentences with finer control of intensity of a given attribute.

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