Valerie Estelle Frankel's Sherlock: Every Canon Reference You May Have Missed in BBC's PDF

By Valerie Estelle Frankel

BBC’s Sherlock has introduced the vintage adventures into outstanding life—fans the world over are delighting in each second. yet extra is hidden in the episodes for the worse fans—nonstop tricks to the unique adventures and the vintage motion pictures in addition. inside of this e-book are all of the references, with prices from the actors and creators, notes from John and Sherlock’s blogs, and a great deal of colourful symbolism. There are vistable destinations in London and a glance on the consistent byplay, way over uncomplicated friendship, among the 2 heroes. With personality bios and notes on all of the unseen situations, this publication bursts with references for Sherlock’s enthusiasts, those that understand the century of lore and people who are but to start it.

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Extra resources for Sherlock: Every Canon Reference You May Have Missed in BBC's Series 1-3

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Artif. Intell. Tools 17(01), 5–18 (2008) 8. : Finding experts in community-based question-answering services. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, pp. 315–316. ACM (2005) 9. : Probabilistic question recommendation for question answering communities. In: Proceedings of the 18th International Conference on World Wide Web, pp. 1229–1230. ACM (2009) 10. : Finding expert users in community question answering. In: Proceedings of the 21st International Conference on World Wide Web, pp.

Finding experts in community-based question-answering services. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, pp. 315–316. ACM (2005) 9. : Probabilistic question recommendation for question answering communities. In: Proceedings of the 18th International Conference on World Wide Web, pp. 1229–1230. ACM (2009) 10. : Finding expert users in community question answering. In: Proceedings of the 21st International Conference on World Wide Web, pp.

6 (2016) Predicting Best Answerers for New Questions: An Approach Leveraging Convolution Neural Networks in Community Question Answering Jian Wang ✉ , Jiqing Sun, Hongfei Lin, Hualei Dong, and Shaowu Zhang ( ) Dalian University of Technology, No. cn Abstract. Community Question Answering (CQA) websites are becoming increasingly important sources of information where users can share knowledge on various topics. These websites provide many opportunities for users to seek for help and provide answers, but they also bring new challenges.

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Sherlock: Every Canon Reference You May Have Missed in BBC's Series 1-3 by Valerie Estelle Frankel


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