Main content extraction from web pages-sometimes also called boilerplate removal-has been a research topic for over two decades. Yet despite web pages being delivered in a machine-readable markup format, extracting the actual content is still a challenge today. Even with the latest HTML5 standard, which defines many semantic elements to mark content areas, web page authors do not always use semantic markup correctly or to its full potential, making it hard for automated systems to extract the relevant information. A high-precision, high-recall content extraction is crucial for downstream applications such as search engines, AI language tools, distraction-free reader modes in users' browsers, and other general assistive technologies. For such a fundamental task, however, surprisingly few openly available extraction systems or training and benchmarking datasets exist. Even less research has gone into the rigorous evaluation and a true apples-to-apples comparison of the few extraction systems that do exist. To get a better grasp on the current state of the art in the field, we combine and clean eight existing human-labeled web content extraction datasets. On the combined dataset, we evaluate 14~competitive main content extraction systems and five baseline approaches. Finally, we build three ensembles as new state-of-the-art extraction baselines. We find that the performance of existing systems is quite genre-dependent and no single extractor performs best on all types of web pages.

This paper presents a VCO-integrator-based high-efficiency low-dropout voltage regulator (LDO). Due to the integrator based architecture the LDO has higher efficiency, lower input voltage and better load regulation than traditional operational-amplifier based implementations. The proposed LDO was fabricated in 180nm CMOS technology along with a traditional operational-amplifier based design for comparison. The proposed LDO consumes a power of 3.7μW at 0.8V input and can achieve a drop-out voltage of 100mV and a load regulation of 8.8μV/mA. The proposed LDO is capacitor-free.