Bibliography Of Thesis

In International Conference on Learning Representations (ICLR). Transactions of the Association of Computational Lin- guistics (TACL). Minjoon Seo, Sewon Min, Ali Farhadi, and Hannaneh Hajishirzi. Shiqi Shen, Yong Cheng, Zhongjun He, Wei He, Hua Wu, Maosong Sun, and Yang Liu. Minimum risk training for neural machine translation. Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerald Tesauro, Bowen Zhou, and Jing Jiang. Rˆ3: Reinforced reader- ranker for open-domain question answering. Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, and Murray Campbell. Evidence aggrega- tion for answer re-ranking in open-domain question answering.

In Association for Compu- tational Linguistics (ACL), volume 1, pages 1683–1692. In Advances in Neural Information Processing Systems (NIPS), pages 2377– 2385. In Empirical Methods in Natural Language Processing (EMNLP), pages 4208–4219. In International Confer- ence on Learning Representations (ICLR). A constituent-centric neural architecture for reading comprehension. Dynamic coattention net- works for question answering. DCN : Mixed objective and deep residual coattention for question answering.

In Empirical Methods in Natural Language Processing (EMNLP), pages 1400–1409.

Mike Mintz, Steven Bills, Rion Snow, and Daniel Jurafsky. Distant supervision for relation extraction without labeled data.

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. In ACL 2014 Workshop on Semantic Parsing, pages 82–86. In Association for Computational Linguistics (ACL), volume 1, pages 1880–1890.

Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V Le. QANet: Combining local convolution with global self- attention for reading comprehension. Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason We- ston. Personalizing dialogue agents: I have a dog, do you have pets too?In Association for Computational Linguistics (ACL), pages 563–570. In Empirical Methods in Natural Language Processing (EMNLP), pages 2230–2235.Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. BLEU: a method for automatic evaluation of machine translation.Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, and Sanja Fidler. Movie QA: Understanding stories in movies through question- answering. Kilian Weinberger, Anirban Dasgupta, John Langford, Alex Smola, and Josh Attenberg. Feature hashing for large scale multitask learning. Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. Constructing datasets for multi-hop reading comprehension across documents. Qiang Wu, Christopher JC Burges, Krysta M Svore, and Jianfeng Gao. Adapting boosting for information retrieval measures. In Empirical Methods in Natural Language Processing (EMNLP), pages 2369–2380.In Conference on computer vision and pattern recognition (CVPR), pages 4631–4640. In Ad- vances in Neural Information Processing Systems (NIPS), pages 5998–6008. In International Conference on Machine Learning (ICML), pages 1113–1120. Transactions of the Association for Computational Linguistics, 7–302. Xuchen Yao, Jonathan Berant, and Benjamin Van Durme. Freebase QA: Information extraction or semantic parsing?In Association for Computational Lin- guistics (ACL), pages 311–318. Know what you don’t know: Unan- swerable questions for SQu AD. MCTest: A chal- lenge dataset for the open-domain machine comprehension of text. Scripts, plans, goals and understanding: An inquiry into human knowledge structures. Abigail See, Peter J Liu, and Christopher D Manning. Get to the point: Summa- rization with pointer-generator networks.Ankur Parikh, Oscar Ta ̈ckstro ̈m, Dipanjan Das, and Jakob Uszkoreit. A decompos- able attention model for natural language inference. Compositional semantic parsing on semi- structured tables. In Association for Computational Linguistics (ACL), volume 2, pages 784–789. In Empirical Methods in Natural Language Processing (EMNLP), pages 193–203. A rule-based question answering system for reading comprehension tests. Open domain question answer- ing using Wikipedia-based knowledge model. Mrinmaya Sachan, Kumar Dubey, Eric Xing, and Matthew Richardson. Learning answer-entailing structures for machine comprehension. In Association for Computa- tional Linguistics (ACL), volume 1, pages 239–249. In Association for Computational Linguistics (ACL), volume 1, pages 1073–1083.In Association for Computational Linguistics (ACL), pages 1003–1011.Tom M Mitchell, Justin Betteridge, Andrew Carlson, Estevam Hruschka, and Richard Wang. Populating the semantic web by macro-reading internet text. In ACL workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization, pages 65–72. In POSTER 2015—19th International Student Conference on Electrical Engineering, pages 1156– 1165. In North American Asso- ciation for Computational Linguistics (NAACL), pages 110–119. In Association for Computational Linguistics (ACL), volume 1, pages 1736–1745. METEOR: An automatic metric for mt evalu- ation with improved correlation with human judgments. Yoda QA: a modular question answering system pipeline. Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. A diversity- promoting objective function for neural conversation models. ROUGE: A package for automatic evaluation of summaries. Yankai Lin, Haozhe Ji, Zhiyuan Liu, and Maosong Sun. Denoising distantly super- vised open-domain question answering.

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