Abstract
Multi-choice question answering in exams is a typical QA task. To accomplish this task, we present an answer localization method to locate answers shown in web pages, considering structural information and semantic information both. Using this method as basis, we analyze sentences and paragraphs appeared on web pages to get predictions. With this answer localization system, we get effective results on both validation dataset and test dataset.- Anthology ID:
- I17-4033
- Volume:
- Proceedings of the IJCNLP 2017, Shared Tasks
- Month:
- December
- Year:
- 2017
- Address:
- Taipei, Taiwan
- Editors:
- Chao-Hong Liu, Preslav Nakov, Nianwen Xue
- Venue:
- IJCNLP
- SIG:
- Publisher:
- Asian Federation of Natural Language Processing
- Note:
- Pages:
- 199–202
- Language:
- URL:
- https://aclanthology.org/I17-4033
- DOI:
- Cite (ACL):
- Changliang Li and Cunliang Kong. 2017. ALS at IJCNLP-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in Exams. In Proceedings of the IJCNLP 2017, Shared Tasks, pages 199–202, Taipei, Taiwan. Asian Federation of Natural Language Processing.
- Cite (Informal):
- ALS at IJCNLP-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in Exams (Li & Kong, IJCNLP 2017)
- PDF:
- https://preview.aclanthology.org/landing_page/I17-4033.pdf