6 citations · 8 across the 3 of their papers we have counts for
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cs.CL2020★ 6 cited
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…
cs.CL2018
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…
cs.CL2018
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…