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Effective distributed representations for academic expert search

Autor: Berger, M., Zavrel, J., Groth, P., Chandrasekaran, M.K., de Waard, A., Feigenblat, G., Freitag, D., Ghosal, T., Hovy, E., Knoth, P., Konopnicki, D., Mayr, P., Patton, R.M., Shmueli-Scheuer, M.

Publikováno v: SDP@EMNLP
First Workshop on Scholarly Document Processing: EMNLP 2020 : proceedings of the workshop : November 19, 2020, Online, 56-71
STARTPAGE=56;ENDPAGE=71;TITLE=First Workshop on Scholarly Document Processing

Expert search aims to find and rank experts based on a user's query. In academia, retrieving experts is an efficient way to navigate through a large amount of academic knowledge. Here, we study how different distributed representations of academic pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2deebb5d51106b00974892d6205623bd
https://doi.org/10.18653/v1/2020.sdp-1.7

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Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling.

Autor: Patton, R.M., Beaver, J.M., Potok, T.E.

Publikováno v: 2011 44th Hawaii International Conference on System Sciences (HICSS); 2011, p1-5, 5p

Hierarchical clustering and visualization of aggregate cyber data.

Autor: Patton, R.M., Beaver, J.M., Steed, C.A., Potok, T.E., Treadwell, J.N.

Publikováno v: 2011 7th International Wireless Communications & Mobile Computing Conference (IWCMC); 2011, p1287-1291, 5p