Abstract
I present ETHAN: Experimental Testing of Hybrid AI Node implemented entirely on free cloud computing infrastructure. The ultimate goal of this research is to create modular reusable hybrid neuro-symbolic architecture for Artificial Intelligence. As a test case I model natural language comprehension of causal relations from open domain text corpus that combines semi-supervised language model (Huggingface Transformers) with constituency and dependency parsers (Allen Institute for Artificial Intelligence.)- Anthology ID:
- 2020.semeval-1.83
- Volume:
- Proceedings of the Fourteenth Workshop on Semantic Evaluation
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona (online)
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- International Committee for Computational Linguistics
- Note:
- Pages:
- 645–652
- Language:
- URL:
- https://aclanthology.org/2020.semeval-1.83
- DOI:
- 10.18653/v1/2020.semeval-1.83
- Cite (ACL):
- Len Yabloko. 2020. ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 645–652, Barcelona (online). International Committee for Computational Linguistics.
- Cite (Informal):
- ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing (Yabloko, SemEval 2020)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2020.semeval-1.83.pdf