Search Results for author: Akhil Kedia

Found 3 papers, 0 papers with code

Keep Learning: Self-supervised Meta-learning for Learning from Inference

no code implementations EACL 2021 Akhil Kedia, Sai Chetan Chinthakindi

A common approach in many machine learning algorithms involves self-supervised learning on large unlabeled data before fine-tuning on downstream tasks to further improve performance.

Image Classification Language Modelling +4

Learning to Generate Questions by Recovering Answer-containing Sentences

no code implementations1 Jan 2021 Seohyun Back, Akhil Kedia, Sai Chetan Chinthakindi, Haejun Lee, Jaegul Choo

We evaluate our method against existing ones in terms of the quality of generated questions as well as the fine-tuned MRC model accuracy after training on the data synthetically generated by our method.

Ranked #4 on Question Generation on SQuAD1.1 (using extra training data)

Machine Reading Comprehension Question Answering +1

NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension

no code implementations ICLR 2020 Seohyun Back, Sai Chetan Chinthakindi, Akhil Kedia, Haejun Lee, Jaegul Choo

Real-world question answering systems often retrieve potentially relevant documents to a given question through a keyword search, followed by a machine reading comprehension (MRC) step to find the exact answer from them.

Machine Reading Comprehension Question Answering

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