Abstract
In the following, we describe our system developed for the Semeval2019 Task 8. We fine-tuned a BERT checkpoint on the qatar living forum dump and used this checkpoint to train a number of models. Our hand-in for subtask A consists of a fine-tuned classifier from this BERT checkpoint. For subtask B, we first have a classifier deciding whether a comment is factual or non-factual. If it is factual, we retrieve intra-forum evidence and using this evidence, have a classifier deciding the comment’s veracity. We trained this classifier on ratings which we crawled from qatarliving.com- Anthology ID:
- S19-2201
- Volume:
- Proceedings of the 13th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota, USA
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1149–1154
- Language:
- URL:
- https://aclanthology.org/S19-2201
- DOI:
- 10.18653/v1/S19-2201
- Cite (ACL):
- Dominik Stammbach, Stalin Varanasi, and Guenter Neumann. 2019. DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 1149–1154, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums (Stammbach et al., SemEval 2019)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/S19-2201.pdf
- Data
- SQuAD