Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Matt Langsenkamp

dblp:326/1636 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2023
0009-0006-1072-5162ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › indexing
document indexing
0.712023
Searching the ACL Anthology with Math Formulas and Text · SIGIR 2023
Information retrieval › document retrieval › domain-specific retrieval › mathematical information retrieval
math-aware search
0.712023
Searching the ACL Anthology with Math Formulas and Text · SIGIR 2023
Information retrieval › document retrieval › domain-specific retrieval › mathematical information retrieval › math-aware search
mathematical formula retrieval
0.712023
Searching the ACL Anthology with Math Formulas and Text · SIGIR 2023
Information retrieval › document retrieval
text search
0.212023
Searching the ACL Anthology with Math Formulas and Text · SIGIR 2023

Methods — techniques the papers use, named apart from their topics

computer vision · 0.7PDF vector graphics analysis · 0.7
YearPublicationVenuePosition
2023 Searching the ACL Anthology with Math Formulas and Text
abstract
Mathematical notation is a key analytical resource for science and technology. Unfortunately, current math-aware search engines require LATEX or template palettes to construct formulas, which can be challenging for non-experts. Also, their indexed collections are primarily web pages where formulas are represented explicitly in machine-readable formats (e.g., LATEX, Presentation MathML). The new MathDeck system searches PDF documents in a portion of the ACL Anthology using both formulas and text, and shows matched words and formulas along with other extracted formulas in-context. In PDF, formulas are not demarcated: a new indexing module extracts formulas using PDF vector graphics information and computer vision techniques. For non-expert users and visual editing, a central design feature of MathDeck's interface is formula 'chips' usable in formula creation, search, reuse, and annotation with titles and descriptions in cards. For experts, LATEX is supported in the text query box and the visual formula editor. MathDeck is open-source, and our demo is available online.
Bryan Amador, Matt Langsenkamp, Abhisek Dey, Ayush Kumar Shah, Richard Zanibbi
SIGIR2