Abstract
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence in Education |
| Subtitle of host publication | 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II |
| Editors | Seiji Isotani, Eva Millán, Amy Ogan, Peter Hastings, Bruce McLaren, Rose Luckin |
| Place of Publication | Cham |
| Publisher | Springer |
| Chapter | 45 |
| Pages | 242-246 |
| Number of pages | 5 |
| Volume | 2 |
| ISBN (Electronic) | 9783030232078 |
| ISBN (Print) | 9783030232061 |
| DOIs | |
| Publication status | Published - 21 Jun 2019 |
| Event | 20th International Conference on Artificial Intelligence in Education - Palmer House Hilton Hotel, Chicago, United States Duration: 25 Jun 2019 → 29 Jun 2019 https://caed-lab.com/aied2019/ |
Publication series
| Series | Lecture Notes in Computer Science |
|---|---|
| Volume | 11626 |
| ISSN | 0302-9743 |
Conference
| Conference | 20th International Conference on Artificial Intelligence in Education |
|---|---|
| Abbreviated title | AIED 2019 |
| Country | United States |
| City | Chicago |
| Period | 25/06/19 → 29/06/19 |
| Internet address |
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Keywords
- answer matching
- semantic similarity
- natural language processing
- Neural network
Cite this
}
Semantic Matching of Open Texts to Pre-scripted Answers in Dialogue-Based Learning. / Rușeți, Ștefan; Lala, R.; Gutu-Robu, Gabriel; Dascălu, Mihai; Jeuring, J.T.; Van Geest, Marcell.
Artificial Intelligence in Education: 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part II. ed. / Seiji Isotani; Eva Millán; Amy Ogan; Peter Hastings; Bruce McLaren; Rose Luckin. Vol. 2 Cham : Springer, 2019. p. 242-246 (Lecture Notes in Computer Science, Vol. 11626).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
TY - GEN
T1 - Semantic Matching of Open Texts to Pre-scripted Answers in Dialogue-Based Learning
AU - Rușeți, Ștefan
AU - Lala, R.
AU - Gutu-Robu, Gabriel
AU - Dascălu, Mihai
AU - Jeuring, J.T.
AU - Van Geest, Marcell
PY - 2019/6/21
Y1 - 2019/6/21
N2 - Gamification is frequently employed in learning environments to enhance learner interactions and engagement. However, most games use pre-scripted dialogues and interactions with players, which limit their immersion and cognition. Our aim is to develop a semantic matching tool that enables users to introduce open text answers which are automatically associated with the most similar pre-scripted answer. A structured scenario written in Dutch was developed by experts for this communication experiment as a sequence of possible interactions within the environment. Semantic similarity scores computed with the SpaCy library were combined with string kernels, WordNet-based distances, and used as features in a neural network. Our experiments show that string kernels are the most predictive feature for determining the most probable pre-scripted answer, whereas neural networks obtain similar performance by combining multiple semantic similarity measures.
AB - Gamification is frequently employed in learning environments to enhance learner interactions and engagement. However, most games use pre-scripted dialogues and interactions with players, which limit their immersion and cognition. Our aim is to develop a semantic matching tool that enables users to introduce open text answers which are automatically associated with the most similar pre-scripted answer. A structured scenario written in Dutch was developed by experts for this communication experiment as a sequence of possible interactions within the environment. Semantic similarity scores computed with the SpaCy library were combined with string kernels, WordNet-based distances, and used as features in a neural network. Our experiments show that string kernels are the most predictive feature for determining the most probable pre-scripted answer, whereas neural networks obtain similar performance by combining multiple semantic similarity measures.
KW - answer matching
KW - semantic similarity
KW - natural language processing
KW - Neural network
U2 - 10.1007/978-3-030-23207-8_45
DO - 10.1007/978-3-030-23207-8_45
M3 - Conference article in proceeding
SN - 9783030232061
VL - 2
T3 - Lecture Notes in Computer Science
SP - 242
EP - 246
BT - Artificial Intelligence in Education
A2 - Isotani, Seiji
A2 - Millán, Eva
A2 - Ogan, Amy
A2 - Hastings, Peter
A2 - McLaren, Bruce
A2 - Luckin, Rose
PB - Springer
CY - Cham
ER -