Abstract
In this paper we present MappSent, a textual similarity approach that we applied to the multi-choice question answering in exams shared task. MappSent has initially been proposed for question-to-question similarity hazem2017. In this work, we present the results of two adaptations of MappSent for the question answering task on the English dataset.- Anthology ID:
- I17-4034
- 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:
- 203–207
- Language:
- URL:
- https://aclanthology.org/I17-4034
- DOI:
- Cite (ACL):
- Amir Hazem. 2017. MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations. In Proceedings of the IJCNLP 2017, Shared Tasks, pages 203–207, Taipei, Taiwan. Asian Federation of Natural Language Processing.
- Cite (Informal):
- MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations (Hazem, IJCNLP 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/I17-4034.pdf