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Sentence
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#	Item
81	Automatically Generated Spam Detection Based on Sentence-level Topic Information Yoshihiko Suhara, Hiroyuki Toda, Shuichi Nishioka, Seiji Susaki NTT Service Evolution Laboratories, NTT Corporation 1-1 Hikari-no-oka, Yoko Add to Reading List Source URL: www.dl.kuis.kyoto-u.ac.jp - Date: 2013-04-28 22:52:00
82	(A) At Ease in GilberteseThe order of the words/phrases in a Gilbertese sentence conforms to the following pattern: Person marker Verb Add to Reading List Source URL: nacloweb.org - Date: 2018-03-26 14:03:50
83	Appendix A NEBRASKA PROBATION SYSTEM SENTENCE DATE: Presentence Investigation Add to Reading List Source URL: assets.documentcloud.org - Date: 2016-05-22 22:36:12
84	˙ È Ï ‚  ‡ ˙ÈÏ‚‡ INSTRUCTIONS The following section contains two types of questions: Reading Comprehension and Sentence Completion. Each question is followed by four possible responses. Add to Reading List Source URL: nite.org.il - Date: 2013-01-06 02:58:58
85	Annotating Inter-Sentence Temporal Relations in Clinical Notes Jennifer D’Souza, Vincent Ng Human Language Technology Research Institute University of Texas at Dallas Richardson, TX {jld082000,vince}@hlt.utd Add to Reading List Source URL: www.lrec-conf.org - Date: 2014-05-20 12:22:23
86	Economics 113: Second Midterm: Practice Exam Spring 2005 I. Identifications: do all ten: one sentence each defining the terms and giving their significance in the context of the course: Theodore Roosevelt Franklin Roosev Add to Reading List Source URL: www.j-bradford-delong.net - Date: 2005-03-17 16:00:01
87	Automatic Sentence Generation from Images ∗ Yoshitaka Ushiku Tatsuya Harada Yasuo Kuniyoshi Add to Reading List Source URL: www.isi.imi.i.u-tokyo.ac.jp - Date: 2013-05-19 05:43:19
88	A Reply to Benjamin Breen Seventeenth-century theologians and philosophers often wrote long books in which they reproduced sentence by sentence the texts of their opponents, and then at even greater length pointed out Add to Reading List Source URL: www.inventionofscience.com - Date: 2016-01-19 10:43:41
89	Sentence-Level Instance-Weighting for Graph-Based and Transition-Based Dependency Parsing Martin Haulrich ISV Computational Linguistics Group Copenhagen Business School Add to Reading List Source URL: aclweb.org - Date: 2011-09-20 12:01:49
90	CATEGORIES IN TOPICS I.9 Marko Malink 1. Topics’ categories vs. Categories’ categories In the ﬁrst sentence of Topics I.9, Aristotle proposes to determine the gšnh tîn kathgoriîn. These are the ten categories he Add to Reading List Source URL: www.nyu.edu - Date: 2013-04-03 03:30:50

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