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View all- Starý Novotný V(2023)Markdown 3 at TUG 2023: Reflections from the Q&A sessionTUGboat10.47397/tb/44-3/tb138starynovotny-markdown-qa44:3(404-405)Online publication date: 2023
Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information
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Vít NovotnýAuthors Info & Claims
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Abstract
A study conducted by the International Data Corporation predicted that by the year 2021, the total amount of digital information resources would have reached the 40 zettabyte mark [2]. According to a rule formulated by Merrill Lynch, 80 to 90% of these resources are unstructured [7]. Despite this, users expect digital libraries to provide them with fast and interpretable access to digital information resources that will satisfy their information need. Math information retrieval emerged as a subfield of information retrieval in 2008 [8], when it became clear that standard information retrieval techniques used for text documents are inadequate to accurately retrieve documents in digital mathematical libraries.
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Mikolov et almbox. 2018. Advances in pre-training distributed word representations. In Proceedings of lrec 2018. elra, Miyazaki, Japan, 52--55.
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Index Terms
- Interpretable Document Representations for Fast and Accurate Retrieval of Mathematical Information
Recommendations
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries
CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge ManagementDigital mathematical libraries (DMLs) such as arXiv, Numdam, and EuDML contain mainly documents from STEM fields, where mathematical formulae are often more important than text for understanding. Conventional information retrieval (IR) systems are ...
Combining Text and Formula Queries in Math Information Retrieval: Evaluation of Query Results Merging Strategies
NWSearch '15: Proceedings of the First International Workshop on Novel Web Search Interfaces and SystemsSpecific to Math Information Retrieval is combining text with mathematical formulae both in documents and in queries. Rigorous evaluation of query expansion and merging strategies combining math and standard textual keyword terms in a query are given. ...
Document expansion for image retrieval
RIAO '10: Adaptivity, Personalization and Fusion of Heterogeneous InformationSuccessful information retrieval requires effective matching between the user's search request and the contents of relevant documents. Often the request entered by a user may not use the same topic relevant terms as the authors' of these documents. One ...
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Published In
July 2021
2998 pages
ISBN:9781450380379
DOI:10.1145/3404835
- General Chairs:
- Fernando Diaz,
- Chirag Shah,
- Torsten Suel,
- Program Chairs:
- Pablo Castells,
- Rosie Jones,
- Tetsuya Sakai
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Published: 11 July 2021
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SIGIR '21
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SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
July 11 - 15, 2021
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View all- Starý Novotný V(2023)Markdown 3 at TUG 2023: Reflections from the Q&A sessionTUGboat10.47397/tb/44-3/tb138starynovotny-markdown-qa44:3(404-405)Online publication date: 2023
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