机译:使用Word N语法对正确和错误的希伯来语故事进行分类
Department of Computer Science, Jerusalem College of Technology-Lev Academic Center, 21 Havaad Haleumi St., P.O.B. 16031, 9116001 Jerusalem, Israel;
Department of Hebrew and Semitic Languages, Bar-Man University, Ramat-Gan, Israel;
Department of Computer Science, Jerusalem College of Technology-Lev Academic Center, Jerusalem, Israel;
Department of Computer Science, Jerusalem College of Technology-Lev Academic Center, Jerusalem, Israel;
False stories; story classification; supervised learning; text classification; true stories; word N-grams;
机译:舒必利对健康志愿者主题相关图片和联想词的真假记忆的影响
机译:关于真实的科学和错误的词:“氧化酶”,“低温恒温器”和“细胞凋亡”。
机译:VarBin,一种用于对NGS数据中的真假阳性变异进行分类的新颖方法
机译:真正并发的错误历史:从陪替氏到工具
机译:用于汉字识别的N-gram增强型学习分类器。
机译:舒必利对健康志愿者主题相关图片和联想词的真假记忆的影响
机译:JcTicol在Semeval-2019任务6:使用深度学习方法,单词/字符n-gram功能和预处理方法对社交媒体进行攻击语言