When searching for information, a human reader first glances over a document, spots
relevant sections, and then focuses on a few sentences for resolving her intention. However …

Existing research on cross-lingual retrieval cannot take good advantage of large-scale
pretrained language models such as multilingual BERT and XLM. We hypothesize that the …

Wikipedia is one of the most visited sites on the Web and a common source of information
for many users. As an encyclopedia, Wikipedia was not conceived as a source of original …

Social biases on Wikipedia, a widely-read global platform, could greatly influence public
opinion. While prior research has examined man/woman gender bias in biography articles …

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for
open knowledge, surprisingly little is known about how people navigate its content when …

A major challenge for many analyses of Wikipedia dynamics—eg, imbalances in content
quality, geographic differences in what content is popular, what types of articles attract more …

Learning semantic representations of documents is essential for various downstream
applications, including text classification and information retrieval. Entities, as important …

Wikipedia is edited by volunteer editors around the world. Considering the large amount of
existing content (eg over 5M articles in English Wikipedia), deciding what to edit next can be …

There has recently been much interest in extending vector-based word representations to
multiple languages, such that words can be compared across languages. In this paper, we …

This Open-Access-book addresses the issue of translating mathematical expressions from
LaTeX to the syntax of Computer Algebra Systems (CAS). Over the past decades, especially …