Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hans-Peter Zorn"'
Publikováno v:
AAAI
Almost all of today’s knowledge is stored in databases and thus can only be accessed with the help of domain specific query languages, strongly limiting the number of people which can access the data. In this work, we demonstrate an end-to-end trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45e46e7054d5af982aba5bc3ebd3e34a
https://doi.org/10.1609/aaai.v33i01.33019416
https://doi.org/10.1609/aaai.v33i01.33019416
In this paper, we investigate whether a semantic representation of patent documents provides added value for a multi-dimensional visual exploration of a patent landscape compared to traditional approaches that use tf–idf (term frequency–inverse d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd00a3543cf45c1fb08b34a984769ab4
Publikováno v:
DIDL@Middleware
Horizontal scalability is a major facilitator of recent advances in deep learning. Common deep learning frameworks offer different approaches for scaling the training process. We operationalize the execution of distributed training using Kubernetes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ff912f77b868cd5f6d53b75b419b0ea
https://doi.org/10.1145/3286490.3286561
https://doi.org/10.1145/3286490.3286561
Publikováno v:
HLT-NAACL
In this paper we present ONTOSCORE, a system for scoring sets of concepts on the basis of an ontology. We apply our system to the task of scoring alternative speech recognition hypotheses (SRH) in terms of their semantic coherence. We conducted an an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88c6138abbe4a6f95ed850f4986d235f
https://doi.org/10.3115/1073445.1073457
https://doi.org/10.3115/1073445.1073457