Word embedding, which represents individual words with semantically fixed-length vectors,
has made it possible to successfully apply deep learning to natural language processing …

Wikipedia combines the power of AI solutions and human reviewers to safeguard article
quality. Quality control objectives include detecting malicious edits, fixing typos, and spotting …

This paper presents, to our knowledge, the first study on analyzing mathematical
expressions to detect academic plagiarism. We make the following contributions. First, we …

When retrieving scientific documents with mathematical expressions as the main content,
both mathematical expressions and their contextual text features require consideration …

Mathematical notation, ie, the writing system used to communicate concepts in mathematics,
encodes valuable information for a variety of information search and retrieval systems. Yet …

Extending machine reading approaches to extract mathematical concepts and their
descriptions is useful for a variety of tasks, ranging from mathematical information retrieval to …

One of the issues in extracting natural language sentences from PDF documents is the
identification of non-textual elements in a sentence. In this paper, we report our preliminary …

We present an overview of the NTCIR Math Tasks organized during NTCIR-10, 11, and 12.
These tasks are primarily dedicated to techniques for searching mathematical content with …

Digital mathematical libraries assemble the knowledge of years of mathematical research.
Numerous disciplines (eg, physics, engineering, pure and applied mathematics) rely heavily …

Writing and editing mathematical expressions with complicated structures in computer
system is difficult and time-consuming. To address this, we proposed MathAssist, a …