The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …

Relational machine learning studies methods for the statistical analysis of relational, or
graph-structured, data. In this paper, we provide a review of how such statistical models can …

Abstract The Visual Question Answering (VQA) system is the process of finding useful
information from images related to the question to answer the question correctly. It can be …

Wikidata: a free collaborative knowledgebase Page 1 78 COMMUNICATIONS OF THE ACM |
OCTOBER 2014 | VOL. 57 | NO. 10 contributed articles DOI:10.1145/2629489 This …

We present the first comprehensive study on automatic knowledge base construction for two
prevalent commonsense knowledge graphs: ATOMIC (Sap et al., 2019) and ConceptNet …

Recent years have witnessed a proliferation of large-scale knowledge bases, including
Wikipedia, Freebase, YAGO, Microsoft's Satori, and Google's Knowledge Graph. To increase …

The DBpedia community project extracts structured, multilingual knowledge from Wikipedia
and makes it freely available on the Web using Semantic Web and Linked Data …

We present YAGO, a light-weight and extensible ontology with high coverage and quality.
YAGO builds on entities and relations and currently contains more than 1 million entities and …

Open-domain Question Answering (OpenQA) is an important task in Natural Language
Processing (NLP), which aims to answer a question in the form of natural language based …

Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …