Which of the Following cannot be Inferred from the above Passage?

被引:0
作者
Guven, Taner [1 ]
Cebeci, Goker [1 ]
Amasyali, Mehmet Fatih [1 ]
机构
[1] Yildiz Tekn Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey
来源
2019 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU) | 2019年
关键词
natural language processing; data set; reading comprehension; question answering;
D O I
10.1109/asyu48272.2019.8946369
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Machine comprehension of text is an important research topic in natural language processing. In this study, to meet the Turkish data set requirement in this topic, a dataset was created from Turkish paragraph question type asked in various national level exams. Various approaches was developed using N-Gram similarity, TF-IDF and word vectors to solve paragraph questions. 41.57% success was achieved on the proposed dataset.
引用
收藏
页码:118 / 122
页数:5
相关论文
共 11 条
[1]  
[Anonymous], 2016, SQUAD 100000 QUESTIO
[2]  
Bajgar O., 2016, EMBRACING DATA ABUND
[3]  
Basaran M, 2013, J ED SCI RES, V3, DOI [10.12973/jesr.2013.327ahttp://www.ebadjesr.com/images/MAKALE_ARSIV/C3_S2makaleler/3.2.07.pdf, DOI 10.12973/JESR.2013.327AHTTP://WWW.EBADJESR.COM/IMAGES/MAKALE_ARSIV/C3_S2MAKALELER/3.2.07.PDF]
[4]  
Bojanowski Piotr, 2017, Trans. Assoc. Comput. Linguist., V5, P135, DOI DOI 10.1162/TACL_A_00051
[5]  
Ercan G, 2018, 2018 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), P347, DOI 10.1109/UBMK.2018.8566502
[6]  
Hermann KM, 2015, ADV NEUR IN, V28
[7]  
Hill Felix, 2015, ARXIV151102301
[8]  
Mikolov T., 2013, Advances in Neural Information Processing Systems, V26, P1
[9]  
Rajpurkar P., 2018, EMPIRICAL METHODS NA, P193
[10]  
Renshaw E., 2013, MCTEST CHALLANGE DAT