ロード中...
Fooling Automatic Short Answer Grading Systems
With the rising success of adversarial attacks on many NLP tasks, systems which actually operate in an adversarial scenario need to be reevaluated. For this purpose, we pose the following research question: How difficult is it to fool automatic short answer grading systems? In particular, we investi...
保存先:
| 出版年: | Artificial Intelligence in Education |
|---|---|
| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7334174/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-52237-7_15 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|