Abstract
Cydex is a platform that provides neural search infrastructure for domain-specific scholarly literature. The platform represents an abstraction of Covidex, our recently developed full-stack open-source search engine for the COVID-19 Open Research Dataset (CORD-19) from AI2. While Covidex takes advantage of the latest best practices for keyword search using the popular Lucene search library as well as state-of-the-art neural ranking models using T5, parts of the system were hard coded to only work with CORD-19. This paper describes our efforts to generalize Covidex into Cydex, which can be applied to scholarly literature in different domains. By decoupling corpus-specific configurations from the frontend implementation, we are able to demonstrate the generality of Cydex on two very different corpora: the ACL Anthology and a collection of hydrology abstracts. Our platform is entirely open source and available at cydex.ai.- Anthology ID:
- 2020.sdp-1.19
- Volume:
- Proceedings of the First Workshop on Scholarly Document Processing
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer
- Venue:
- sdp
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 168–173
- Language:
- URL:
- https://aclanthology.org/2020.sdp-1.19
- DOI:
- 10.18653/v1/2020.sdp-1.19
- Cite (ACL):
- Shane Ding, Edwin Zhang, and Jimmy Lin. 2020. Cydex: Neural Search Infrastructure for the Scholarly Literature. In Proceedings of the First Workshop on Scholarly Document Processing, pages 168–173, Online. Association for Computational Linguistics.
- Cite (Informal):
- Cydex: Neural Search Infrastructure for the Scholarly Literature (Ding et al., sdp 2020)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2020.sdp-1.19.pdf
- Data
- CORD-19, TREC-COVID