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Dataset discovery and exploration: A survey
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 …
not immediately at hand, and there may be many potentially relevant datasets in a data lake …
Knowledge graphs on the web–an overview
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 …
Google coined the term Knowledge Graph first and promoted it as a means to improve their …
Definition modeling: Learning to define word embeddings in natural language
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 …
on their effectiveness in word similarity and analogical relation tasks. But, these tasks only …
The limits of word level differential privacy
J Mattern, B Weggenmann, F Kerschbaum - ar** with weak supervision from a masked language model
Taxogen: Unsupervised topic taxonomy construction by adaptive term embedding and clustering
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 …
but also an important step for applications such as information filtering, recommendation …
Nettaxo: Automated topic taxonomy construction from text-rich network
The automated construction of topic taxonomies can benefit numerous applications,
including web search, recommendation, and knowledge discovery. One of the major …
including web search, recommendation, and knowledge discovery. One of the major …
Inferring concept hierarchies from text corpora via hyperbolic embeddings
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 …
we propose a new method combining hyperbolic embeddings and Hearst patterns. This …
Refined commonsense knowledge from large-scale web contents
Commonsense knowledge (CSK) about concepts and their properties is helpful for AI
applications. Prior works, such as ConceptNet, have compiled large CSK collections …
applications. Prior works, such as ConceptNet, have compiled large CSK collections …
[PDF][PDF] Taxi at semeval-2016 task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling
We present a system for taxonomy construction that reached the first place in all subtasks of
the SemEval 2016 challenge on Taxonomy Extraction Evaluation. Our simple yet effective …
the SemEval 2016 challenge on Taxonomy Extraction Evaluation. Our simple yet effective …