Abstract
While many writing assistance systems can automatically correct grammatical errors, most do not provide any explanation about their suggested corrections. This paper proposes an
algorithm that selects example sentences to serve as feedback
on preposition usage correction. This algorithm exploits the
argument/adjunct distinction to select the most relevant example sentences. Evaluation shows that the use of argumenthood
information improves the quality of the selected sentences.
| Original language | English |
|---|---|
| Title of host publication | SEMAPRO 2019 |
| Subtitle of host publication | The Thirteenth International Conference on Advances in Semantic Processing |
| Editors | Tim vor der Brück, Efstratios Kontopoulos |
| Publisher | International Academy, Research, and Industry Association (IARIA) |
| ISBN (Electronic) | 978-1-61208-738-2 |
| Publication status | Published - 22 Sept 2019 |
| Event | The Thirteenth International Conference on Advances in Semantic Processing - SEMAPRO 2019 - Hotel Novotel Porto Gaia, Porto, Portugal Duration: 22 Sept 2019 → 26 Sept 2019 https://www.iaria.org/conferences2019/ProgramSEMAPRO19.html |
Conference
| Conference | The Thirteenth International Conference on Advances in Semantic Processing - SEMAPRO 2019 |
|---|---|
| Place | Portugal |
| City | Porto |
| Period | 22/09/19 → 26/09/19 |
| Internet address |
Research Keywords
- computer-assisted language learning
- example sentence selection
- grammatical error correction feedback
- preposition