Papers with pedagogical tool
Automated Writing Support Using Deep Linguistic Parsers (2020.lrec-1)
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Luís Morgado da Costa, Roger V P Winder, Shu Yun Li, Benedict Christopher Lin Tzer Liang, Joseph Mackinnon, Francis Bond
| Challenge: | Automated Grammar Error Detection (GED) and Grammar Erreor Correction (GEC) are tasks that have attracted some attention within the NLP community. |
| Approach: | They propose a web-based system that integrates English Grammatical Error Detection (GED) and course-specific stylistic guidelines to automatically review and provide feedback on student assignments. |
| Outcome: | The system integrates both general NLP methods and high precision parsers to check student assignments before they are submitted for grading. |
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling (2024.acl-long)
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Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, Jad Kabbara
| Challenge: | a novel application of large language models (LLMs) to legal education helps non-experts learn complex legal concepts . authors find storytelling helps nonexperts understand complex legal terms and concepts compared to definitions . |
| Approach: | They propose a novel application of large language models to legal education . they use LLMs to generate legal stories explaining complex legal concepts . |
| Outcome: | The proposed method improves comprehension and interest among non-native speakers compared to definitions . the novel method also shows that non-experts retain more stories . |
The Abkhaz National Corpus (L18-1)
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| Challenge: | Abkhaz National Corpus is a comprehensive and open, grammatically annotated text corpus . it is currently growing and is being extended to include all important texts written in the language . |
| Approach: | They propose to use the Abkhaz National Corpus to annotate Abkhhaz texts . the corpus is a comprehensive and open, grammatically annotated text corpus . |
| Outcome: | The proposed corpus is a grammatically annotated text corpus which makes the language accessible to scientific investigations from various perspectives. |