Hello, everyone. Could you answer the following questions to clarify the project "Fact Extraction from Wikipedia Text" and could you suggest the existing warm-up tasks related to this project, if exist? (I've chosen Relation Extraction as my master thesis topic and I would like to combine it with this project, i.e. this project would be practical part of my master thesis, If I could.)
Firstly, just a confirmation, is it the aim of this project that we enrich the existing datasets? For instance, given the thing in [1], do we finally add new facts about the thing by using the developed framework? Secondly, is it fixed that we use FrameNet for the fact extraction? Could I use other approaches, such as Distant Supervision[2][3][4], to extract facts if they are proper? Finally, if we use FrameNet, how about you consider following 3 points? 1. As far as I understand, the project description shows only the flow of extracting frames from the source text. How should I use the frames? Do we directly use the frames as new relations between the entities, or that we convert the Frames to existing DBpedia's RDF properties (such as dbpedia-owl:successor) after the extraction? 2. On the step "Verb extraction and ranking", which verbs is the target of "ranking"? All of the verbs in the article, as Peresa said? Or can I propose other targets? 3. Creating frames seems to depend on each language. Will I develop the framework on English articles? Thank you and regards, Kenji Yamauchi [1] http://www.dbpedia.org/page/It%C5%8D_Hirobumi [2] http://nlp.stanford.edu/software/mimlre.shtml [3] http://nlp.stanford.edu/pubs/emnlp2012-mimlre.pdf --------- Kenji Yamauchi Master's course on Kyoto University ------------------------------------------------------------------------------ Dive into the World of Parallel Programming The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Dbpedia-gsoc mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
