Citation recommendation: approaches and datasets
Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …
to the overload of published scientific works in recent years on the one hand, and the need …
[HTML][HTML] Ungendered writing: Writing styles are unlikely to account for gender differences in funding rates in the natural and technical sciences
Academia has traditionally faced a substantial gender gap in staff positions and career path
progression. Women do not advance up the academic career ladder in the same rate as …
progression. Women do not advance up the academic career ladder in the same rate as …
Improving the accessibility of scientific documents: Current state, user needs, and a system solution to enhance scientific PDF accessibility for blind and low vision …
The majority of scientific papers are distributed in PDF, which pose challenges for
accessibility, especially for blind and low vision (BLV) readers. We characterize the scope of …
accessibility, especially for blind and low vision (BLV) readers. We characterize the scope of …
A large dataset of scientific text reuse in Open-Access publications
We present the Webis-STEREO-21 dataset, a massive collection of S cientific Te xt Re use
in O pen-access publications. It contains 91 million cases of reused text passages found in …
in O pen-access publications. It contains 91 million cases of reused text passages found in …
[HTML][HTML] Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human …
Background Using reports of randomised trials of smoking cessation interventions as a test
case, this study aimed to develop and evaluate machine learning (ML) algorithms for …
case, this study aimed to develop and evaluate machine learning (ML) algorithms for …
Automatic extraction of TEI structures in digitized lexical resources using conditional random fields
An important number of digitized lexical resources remain unexploited due to their
unstructured content. Manually structuring such resources is a costly task given their …
unstructured content. Manually structuring such resources is a costly task given their …
Scia11y: Converting scientific papers to accessible html
We present SciA11y, a system that renders inaccessible scientific paper PDFs into HTML.
SciA11y uses machine learning models to extract and understand the content of scientific …
SciA11y uses machine learning models to extract and understand the content of scientific …
[HTML][HTML] R-classify: Extracting research papers' relevant concepts from a controlled vocabulary
In the past few decades, we saw a proliferation of scientific articles available online. This
data-rich environment offers several opportunities but also challenges, since it is …
data-rich environment offers several opportunities but also challenges, since it is …
Enhancing usability for automatically structuring digitised dictionaries
M Khemakhem, A Herold, L Romary - GLOBALEX workshop at LREC …, 2018 - hal.science
The last decade has seen a rapid development of the number of NLP tools which have been
made available to the community. The usability of several e-lexicography tools represents a …
made available to the community. The usability of several e-lexicography tools represents a …
The digitization of historical astrophysical literature with highly localized figures and figure captions
Scientific articles published prior to the “age of digitization” in the late 1990s contain figures
which are “trapped” within their scanned pages. While progress to extract figures and their …
which are “trapped” within their scanned pages. While progress to extract figures and their …