Mathematical Information Retrieval based on Type Embeddings and Query Expansion

Yiannos Stathopoulos, Simone Teufel


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:
Bibkey:
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)
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PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/C16-1221.pdf