Abstract
We present an approach to mathematical information retrieval (MIR) that exploits a special kind of technical terminology, referred to as a mathematical type. In this paper, we present and evaluate a type detection mechanism and show its positive effect on the retrieval of research-level mathematics. Our best model, which performs query expansion with a type-aware embedding space, strongly outperforms standard IR models with state-of-the-art query expansion (vector space-based and language modelling-based), on a relatively new corpus of research-level queries.- Anthology ID:
- C16-1221
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Yuji Matsumoto, Rashmi Prasad
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 2344–2355
- Language:
- URL:
- https://aclanthology.org/C16-1221
- DOI:
- Cite (ACL):
- Yiannos Stathopoulos and Simone Teufel. 2016. Mathematical Information Retrieval based on Type Embeddings and Query Expansion. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 2344–2355, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Mathematical Information Retrieval based on Type Embeddings and Query Expansion (Stathopoulos & Teufel, COLING 2016)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/C16-1221.pdf