Bibliography Of Thesis

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.

Tags: How To Write An Assignment IntroductionHow To Do Business PlanTwelfth Night Essay On DisguiseEssay On My Hobby As A PaintingIf I Were Mayor EssayHealth Food Store Business PlanResume Writing Services Oakland CaAlabama Honors College EssayEssay English WritersRenewable Energy Business Plan

In Association for Computational Linguistics (ACL): System Demonstrations, pages 55–60.

Bryan Mc Cann, James Bradbury, Caiming Xiong, and Richard Socher. Learned in translation: Contextualized word vectors. In Advances in Neural Information Processing Systems (NIPS), pages 6297–6308. Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. Dis- tributed representations of words and phrases and their compositionality.

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.

It is included at the end of your report, on the last page (or last few pages).

You will find it easier to prepare your final bibliography if you keep track of each book, encyclopedia, or article you use as you are reading and taking notes.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.In Empirical Methods in Natural Language Processing (EMNLP), pages 2249–2255. In Association for Computational Linguistics (ACL), pages 1470–1480. In Empirical Methods in Natural Language Processing (EMNLP), pages 1532–1543. In North American Association for Computational Linguistics (NAACL), volume 1, pages 2227– 2237. Martin Raison, Pierre-Emmanuel Mazare ́, Rajarshi Das, and Antoine Bordes. Weaver: Deep co-encoding of questions and documents for machine reading. Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. SQu AD: 100,000 questions for machine comprehension of text. In ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding sytems, pages 13–19. Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rockta ̈schel, Mike Shel- don, Guillaume Bouchard, and Sebastian Riedel. Interpretation of natural language rules in conversational machine reading. Complex sequential question answering: Towards learning to converse over linked question answer pairs with a knowledge graph. Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. Bidi- rectional attention flow for machine comprehension. Hai Wang, Mohit Bansal, Kevin Gimpel, and David Mc Allester. Machine compre- hension with syntax, frames, and semantics. Machine comprehension using Match-LSTM and answer pointer.Jeffrey Pennington, Richard Socher, and Christopher Manning. Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. Improving language understanding by generative pre-training. In Empirical Methods in Natu- ral Language Processing (EMNLP), pages 2383–2392. Se- quence level training with recurrent neural networks. Co QA: A conversational question answering challenge. In Empirical Methods in Natural Language Processing (EMNLP), pages 2087–2097. Khapra, Karthik Sankaranarayanan, and Sarath Chandar. In International Conference on Learning Representations (ICLR). In International Conference on Learning Representations (ICLR). In Association for Computational Linguis- tics (ACL), volume 2, pages 700–706. In International Conference on Learning Representations (ICLR).Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, and Armand Joulin. Advances in pre-training distributed word representations. In Advances in Neural Information Processing Systems (NIPS), pages 3111–3119. In Em- pirical Methods in Natural Language Processing (EMNLP), pages 79–84.Alexander Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, and Jason Weston. Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston. Key-value memory networks for directly reading documents.In International Conference on Learning Repre- sentations (ICLR). In Association for Computational Linguistics (ACL), volume 1, pages 2204–2213.Learn how to easily write a bibliography by following the format outlined in this article.David Ahn, Valentin Jijkoun, Gilad Mishne, Karin Mu ̈ller, Maarten de Rijke, and Stefan Schlobach. Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. So ̈ren Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. In Empirical Methods in Natural Language Processing (EMNLP), pages 785–794. In Association for Computational Linguistics (ACL), volume 1, pages 1694–1704. In Empirical Methods in Natural Language Processing (EMNLP), pages 1412–1421. In North American Association for Com- putational Linguistics (NAACL), pages 1545–1554. In International Conference on Computer Vision (ICCV), pages 2425–2433. Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, and Eduard Hovy. RACE: Large-scale reading comprehension dataset from examinations. Xiaodong Liu, Yelong Shen, Kevin Duh, and Jianfeng Gao. Stochastic answer net- works for machine reading comprehension. Effective approaches to attention-based neural machine translation.

SHOW COMMENTS

Comments Bibliography Of Thesis

The Latest from naximov.ru ©