author: valentina presutti

The Semantic Web: Research and Applications: 9th Extended Semantic Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31, 2012, Proceedings

... ranking based on #visits, confidence and agreement values for each question. By agreement between users we mean the percentage of votes the answer with the highest number of votes has obtained. We can see that in general the ranking ...

The Semantic Web – ISWC 2018: 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part II

... Hamlet puts Ophelia to a test to prove her honesty: guessing (correctly) that the two conspirators are hidden behind ... unit: boundaries are decided through the detec- tion of a specific goal pursuit, distinct from the goals pursued in the ...

Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers

... bookID=featuredocuments.bookID AND ratings.userID=$DBbookuserID) loop –CONSTRUCT THE USER FEATURE VECTOR if p=1 then uvec:= (SELECT MADlib.svecplus(uvec, (SELECT vecrep FROM featuredocuments WHERE bookID = r))); else uvec:= (SELECT ...

The Semantic Web – ISWC 2022: 21st International Semantic Web Conference, Virtual Event, October 23–27, 2022, Proceedings

... phrases that best describe the content of text. The automatic generation of ... process of extracting a small set of phrases that best describe a document. This ... focus on extracting present keyphrases from an input text, including ...

The Semantic Web: Semantics and Big Data: 10th International Conference, ESWC 2013, Montpellier, France, May 26-30, 2013. Proceedings

... mw2 music niley glennbeck microsoft omgfacts redsox obama ps3 musicmonday regis movies photoshop oneofmyfollowers soccer politics spymaster nowplaying teamtaylor supernatural socialmedia rememberwhen sports teaparty uncharted2 paramore ...

The Semantic Web – ISWC 2018: 17th International Semantic Web Conference, Monterey, CA, USA, October 8–12, 2018, Proceedings, Part I

... UTtest : This represents a manually created set of instances of the entity type for which a NER classifier is to be trained . In this work , we split this set into a set of seed terms Tseed used for training , and test terms Ttest used ...

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