@inproceedings{stathopoulos-teufel-2016-mathematical,
title = "Mathematical Information Retrieval based on Type Embeddings and Query Expansion",
author = "Stathopoulos, Yiannos and
Teufel, Simone",
editor = "Matsumoto, Yuji and
Prasad, Rashmi",
booktitle = "Proceedings of {COLING} 2016, the 26th International Conference on Computational Linguistics: Technical Papers",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/C16-1221",
pages = "2344--2355",
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.",
}
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%0 Conference Proceedings
%T Mathematical Information Retrieval based on Type Embeddings and Query Expansion
%A Stathopoulos, Yiannos
%A Teufel, Simone
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F stathopoulos-teufel-2016-mathematical
%X 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.
%U https://aclanthology.org/C16-1221
%P 2344-2355
Markdown (Informal)
[Mathematical Information Retrieval based on Type Embeddings and Query Expansion](https://aclanthology.org/C16-1221) (Stathopoulos & Teufel, COLING 2016)
ACL