http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#Head http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y http://www.nanopub.org/nschema#hasAssertion http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#assertion http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y http://www.nanopub.org/nschema#hasProvenance http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#provenance http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y http://www.nanopub.org/nschema#hasPublicationInfo http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#pubinfo http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#assertion http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#paragraph http://purl.org/spar/c4o/hasContent Given the use case corpus, we first extract the complete set of verbs through a standard NLP pipeline: to- kenization, lemmatization and POS tagging. POS in- formation is required to identify verbs, while lemmas are needed to build the ranking. TREE TAGGER 15 is exploited to fulfill these tasks. Although our input has a relatively low dimension (i.e., 7.25 million tokens circa), we observe that the tool is not able to handle it as a whole, since it crashes with a segmentation fault even on a powerful machine (i.e., 24 cores CPU at 2.53 GHz, 64 GB RAM). Consequently, we had to run it over each document, thus impacting on the processing time. However, we believe that further investigation will lead to the optimization of such issue. http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#paragraph http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/doco/Paragraph http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#provenance http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#assertion http://www.w3.org/ns/prov#hadPrimarySource http://dx.doi.org/10.3233/SW-170269 http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#assertion http://www.w3.org/ns/prov#wasAttributedTo https://orcid.org/0000-0002-5456-7964 http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y#pubinfo http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y http://purl.org/dc/terms/created 2019-11-10T18:05:11+01:00 http://purl.org/np/RAg4d8Wvbe8DyE8JMtJjT4PYEOSKoB5dRrjOs2Tjozr_Y http://purl.org/pav/createdBy https://orcid.org/0000-0002-7114-6459