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A paper generator is computer software that composes scholarly papers in the style of those that appear in academic journals or conference proceedings. Typically, the generator uses technical jargon from the field to compose sentences that are grammatically correct and seem erudite but are actually nonsensical. [ 1 ]
Climatext is a dataset for sentence-based climate change topic detection. HF dataset [395] University of Zurich GreenBiz Collection of articles and news about climate and sustainability This data is not pre-processed Curated list of climate articles Curated list of sustainability articles [396] Top research pre-prints in climate and sustainability
Allen Institute for Artificial Intelligence [140] SemOpenAlex: Multidisciplinary SemOpenAlex extends the capabilities of OpenAlex by providing semantic representations of scholarly metadata. It integrates knowledge graph-based features to enhance the discovery of research trends, collaborations, and literature interconnections across all ...
The objective of quantitative research is to develop and employ mathematical models, theories, and hypotheses pertaining to phenomena. The process of measurement is central to quantitative research because it provides the fundamental connection between empirical observation and mathematical expression of quantitative relationships.
These are lists of research topics, research problems and current research activities in various scientific areas. Pages in category "Lists of research topics" The following 3 pages are in this category, out of 3 total.
It is meant to include only free-standing universities or satellite campuses, not programs by which one may study abroad at a non-American university. American-style colleges and universities outside the United States
The author-topic model by Rosen-Zvi et al. [13] models the topics associated with authors of documents to improve the topic detection for documents with authorship information. HLTA was applied to a collection of recent research papers published at major AI and Machine Learning venues. The resulting model is called The AI Tree.
In machine learning and data mining, quantification (variously called learning to quantify, or supervised prevalence estimation, or class prior estimation) is the task of using supervised learning in order to train models (quantifiers) that estimate the relative frequencies (also known as prevalence values) of the classes of interest in a sample of unlabelled data items.