Data scientists are tasked with obtaining insights from data. However, suitable data is often
not immediately at hand, and there may be many potentially relevant datasets in a data lake …

Abstract Knowledge Graphs are an emerging form of knowledge representation. While
Google coined the term Knowledge Graph first and promoted it as a means to improve their …

Distributed representations of words have been shown to capture lexical semantics, based
on their effectiveness in word similarity and analogical relation tasks. But, these tasks only …

The automated construction of topic taxonomies can benefit numerous applications,
including web search, recommendation, and knowledge discovery. One of the major …

Taxonomy construction is not only a fundamental task for semantic analysis of text corpora,
but also an important step for applications such as information filtering, recommendation …

Commonsense knowledge (CSK) about concepts and their properties is useful for AI
applications such as robust chatbots. Prior works like ConceptNet, TupleKB and others …

We consider the task of inferring is-a relationships from large text corpora. For this purpose,
we propose a new method combining hyperbolic embeddings and Hearst patterns. This …

Commonsense knowledge (CSK) about concepts and their properties is helpful for AI
applications. Prior works, such as ConceptNet, have compiled large CSK collections …

As the issues of privacy and trust are receiving increasing attention within the research
community, various attempts have been made to anonymize textual data. A significant …