6 citations · 8 across the 3 of their papers we have counts for
6 papers
Making Table Understanding Work in Practice
Madelon Hulsebos, Sneha Gathani, James Gale +3
Understanding the semantics of tables at scale is crucial for tasks like data integration, preparation, and search. Table understanding methods aim at detecting a table's topic, se…
Towards Olfactory Information Extraction from Text: A Case Study on Detecting Smell Experiences in Novels
Ryan Brate, Paul Groth, Marieke van Erp
Environmental factors determine the smells we perceive, but societal factors factors shape the importance, sentiment and biases we give to them. Descriptions of smells in text, or…
Knowledge Scientists: Unlocking the data-driven organization
George Fletcher, Paul Groth, Juan Sequeda
Organizations across all sectors are increasingly undergoing deep transformation and restructuring towards data-driven operations. The central role of data highlights the need for…
End-to-End Learning for Answering Structured Queries Directly over Text
Paul Groth, Antony Scerri, Ron Daniel +1
Structured queries expressed in languages (such as SQL, SPARQL, or XQuery) offer a convenient and explicit way for users to express their information needs for a number of tasks. I…
DATA:SEARCH'18 -- Searching Data on the Web
Paul Groth, Laura Koesten, Philipp Mayr +2
This half day workshop explores challenges in data search, with a particular focus on data on the web. We want to stimulate an interdisciplinary discussion around how to improve th…
Open Information Extraction on Scientific Text: An Evaluation
Paul Groth, Michael Lauruhn, Antony Scerri +1
Open Information Extraction (OIE) is the task of the unsupervised creation of structured information from text. OIE is often used as a starting point for a number of downstream tas…