Automatic information extraction from online published scientific documents is useful in
various applications such as tagging, web indexing and search engine optimization. As a …

Given the growth of scientific literature on the web, particularly material science, acquiring
data precisely from the literature has become more significant. Material information systems …

The present article aims to review and evaluate the practiced and classical techniques,
tools, models, and systems concerning automatic information extraction (IE) from published …

As data driven decisions are based on facts, data collection can be used to lay a foundation
for decision-making irrespective of industry. With the decision-making capability provided by …

Many solutions have been provided to extract bibliographic references from PDF papers.
Machine learning, rule-based and regular expressions approaches were among the most …

This paper offers a brief history of, ConfSys, a conference management system, that has
been used for over 15 years to support a number of international academic conferences. It is …

Ушбу мақолада тўғри боғланишли қоидага асосланган фикрлаш тизимлари, қоидага
асосланган тизимлар ва уларнинг асосий хусусиятлари, қоидага асосланган …

The unprecedented growth of the research publications in diversified domains has
overwhelmed the research community. These research publications are linked and indexed …

This thesis is written in collaboration with the Swedish Public Employment Service and aims
to investigate methods and techniques to automatically extract metadata from unstructured …

Metadata extraction is essential for the discovery of scientific information. However, it can be
tedious and requires a lot of time and effort, given that the number of scientific publications is …