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        <title>Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension</title>
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        <namePart type="given">David</namePart>
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        <namePart type="given">Xiaodong</namePart>
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            <title>Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing</title>
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    <abstract>We develop a technique for transfer learning in machine comprehension (MC) using a novel two-stage synthesis network. Given a high performing MC model in one domain, our technique aims to answer questions about documents in another domain, where we use no labeled data of question-answer pairs. Using the proposed synthesis network with a pretrained model on the SQuAD dataset, we achieve an F1 measure of 46.6% on the challenging NewsQA dataset, approaching performance of in-domain models (F1 measure of 50.0%) and outperforming the out-of-domain baseline by 7.6%, without use of provided annotations.</abstract>
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%0 Conference Proceedings
%T Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
%A Golub, David
%A Huang, Po-Sen
%A He, Xiaodong
%A Deng, Li
%Y Palmer, Martha
%Y Hwa, Rebecca
%Y Riedel, Sebastian
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F golub-etal-2017-two
%X We develop a technique for transfer learning in machine comprehension (MC) using a novel two-stage synthesis network. Given a high performing MC model in one domain, our technique aims to answer questions about documents in another domain, where we use no labeled data of question-answer pairs. Using the proposed synthesis network with a pretrained model on the SQuAD dataset, we achieve an F1 measure of 46.6% on the challenging NewsQA dataset, approaching performance of in-domain models (F1 measure of 50.0%) and outperforming the out-of-domain baseline by 7.6%, without use of provided annotations.
%R 10.18653/v1/D17-1087
%U https://aclanthology.org/D17-1087/
%U https://doi.org/10.18653/v1/D17-1087
%P 835-844

Markdown (Informal)

[Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension](https://aclanthology.org/D17-1087/) (Golub et al., EMNLP 2017)

• Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension (Golub et al., EMNLP 2017)

ACL

• David Golub, Po-Sen Huang, Xiaodong He, and Li Deng. 2017. Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pages 835–844, Copenhagen, Denmark. Association for Computational Linguistics.