Keywords

Details

Category:

Conference activity

Type:

materiały konferencyjne indeksowane w Web of Science

Title of issue:

Semantic Keyword-Based Search on Structured Data Sources: IKC: International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources strony 70 - 79

ISSN:

0302-9746

Language:

English

Publication year:

2018

Bibliographic description:

Jagoda J., Boiński T..: Assessing Word Difficulty for Quiz-Like Game, W: Semantic Keyword-Based Search on Structured Data Sources: IKC: International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, 2018, Springer International Publishing AG,.

DOI:

Digital Object Identifier (open in new tab) 10.1007/978-3-319-74497-1_7

Bibliography: test

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2. Szymański, J.: Mining relations between Wikipedia categories. In: Networked Dig- ital Technologies, pp. 248-255. Springer (2010) open in new tab
3. Szymański, J.: Words context analysis for improvement of information retrieval. In: International Conference on Computational Collective Intelligence. pp. 318- 325. Springer (2012) open in new tab
4. Szymański, J., Duch, W.: Self organizing maps for visualization of categories. In: Neural Information Processing. pp. 160-167. Springer (2012) open in new tab
5. Von Ahn, L.: Games with a purpose. Computer 39(6), 92-94 (2006) open in new tab
6. Von Ahn, L., Dabbish, L.: Designing games with a purpose. Communications of the ACM 51(8), 58-67 (2008) open in new tab
7. Biuro Prasowe Samsung Electronics Polska Sp. z o.o.: Prawie po lowa Polaków gra codziennie w gry wideo (in Polish) open in new tab
8. Wightman, D.: Crowdsourcing human-based computation. In: Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries. pp. 551-560. ACM (2010) open in new tab
9. Boiński, T.: Game with a purpose for mappings verification. In: Computer Science and Information Systems (FedCSIS), 2016 Federated Conference on. pp. 405-409. IEEE (2016) open in new tab
10. Binkley, M.R.: New ways of assessing text difficulty. Readability: Its past, present and future pp. 98-120 (1988)
11. Kauchak, D., Leroy, G., Hogue, A.: Measuring text difficulty using parse-tree fre- quency. Journal of the Association for Information Science and Technology (2017) open in new tab
12. Crossley, S.A., Greenfield, J., McNamara, D.S.: Assessing text readability using cognitively based indices. Tesol Quarterly 42(3), 475-493 (2008) open in new tab
13. Breland, H.M.: Word frequency and word difficulty: A comparison of counts in four corpora. Psychological Science 7(2), 96-99 (1996) open in new tab
14. Carroll, J.B.: An alternative to juilland's usage coefficient for lexical frequencies. ETS Research Report Series 1970(2) (1970) open in new tab
15. Inc., T.: Twinword API. https://www.twinword.com/api/language-scoring.php (2011), [Online: 10.05.2017] open in new tab
16. Kincaid, J.P., Fishburne Jr, R.P., Rogers, R.L., Chissom, B.S.: Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel. Tech. rep., DTIC Document (1975) open in new tab

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Gdańsk University of Technology