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LectureBank Dataset
When will the code be available?
hi, thanks for the code.
In the paper R-VGAE, Sime-supervised uses concept-concept edges, but in the code there is only document-concept, document-document adjacency matrix.
if args.ds.startswith('tf'): if args.labels == 'y': adj_cd, adj_dd, features, tags_nodes = my_load_data_tfidf_semi(args.wmd) else: adj_cd, adj_dd, features = my_load_data_tfidf(args.wmd)
Can the plain text of LectureBank2 be provided? Most of the URL links are no longer valid.
Hi, your R-VGAE is awesome!
I'm trying to reproduce your work, but you don't seem to have released the training data, if you are not convenient to disclose the data, can you please share the script used to process the data?
Hi,
I read your paper, and I'm wondering how you get the concept representation with Doc2Vec? First, each slide may contains multiple concepts. Second, each concept may be contained in multiple slides. How do you deal with these issues?
Thank you!
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