Croatian POS Tagger as a Prerequisite for Knowledge Extraction in Intelligent Tutoring Systems (CROSBI ID 709975)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vasić, Daniel ; Žitko, Branko ; Grubišić, Ani ; Stankov, Slavomir ; Gašpar, Angelina ; Šarić-Grgić, Ines ; Tomaš, Suzana ; Peraić, Ivan ; Markić-Vučić, Matea
engleski
Croatian POS Tagger as a Prerequisite for Knowledge Extraction in Intelligent Tutoring Systems
In this article we present an knowledge extraction approach that can be used in systems that implement teaching in a fully automated manner. These systems are called Intelligent Tutoring Systems (ITS) and are conceived around the idea of one-to-one teaching. Many such systems use natural language processing to improve the communication interface between student and the system. These techniques can be also used on the content creator side to semi- automate or fully automate the task of teaching content creation. In such systems the knowledge representation plays a crucial role to successfully implement teaching and encourage learning. The output of the knowledge extraction phase is a knowledge in the form of a hyper graph that can be used for adaption to the students current knowledge level. We present a deep neural network architecture for precise POS tagging of words written in languages that are morphologically rich. Using sparse representations for words in this task increases the vector space and makes learning more complex. This problem can be solved to some extent by using traditional vector representations but there is also the problem with representing words that are ambiguous. Proposed architecture uses a Bidirectional Encoder Representations from Transformers (BERT) model that is pre-trained on Croatian language to achieve state-of-the-art accuracy for POS tagging.
Natural language processing ; Knowledge extraction ; Part of Speech tagging ; Intelligent Tutoring Systems
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Podaci o prilogu
334-345.
2021.
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objavljeno
10.1007/978-3-030-77857-6_23
Podaci o matičnoj publikaciji
Lecture notes in computer science
Sottilare, Robert A. ; Schwarz, Jessica
Cham: Springer
978-3-030-77857-6
0302-9743
1611-3349
Podaci o skupu
3rd International Conference on Adaptive Instructional Systems, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021
predavanje
24.07.2021-29.07.2021
online