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pro vyhledávání: '"Felix Jungermann"'
Autor:
Katharina Morik, Nico Piatkowski, Marco Stolpe, Felix Jungermann, Olaf Spinczyk, Jochen Streicher, Peter Fricke
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642235986
MSM/MUSE
MSM/MUSE
Mobile devices are a special class of resource-constrained embedded devices. Computing power, memory, the available energy, and network bandwidth are often severely limited. These constrained resources require extensive optimization of a mobile syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c2b3a14480abb2b79e37d8f202d951b
https://doi.org/10.1007/978-3-642-23599-3_6
https://doi.org/10.1007/978-3-642-23599-3_6
Publikováno v:
ICDM Workshops
Collecting, monitoring, and analyzing data automatically by well instrumented systems is frequently motivated by human decision-making. However, the same need occurs when system software decisions are to be justified. Compiler optimization or storage
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783642125492
NLDB
NLDB
Relation extraction from texts is a research topic since the message understanding conferences. Most investigations dealt with English texts. However, the heuristics found for these do not perform well when applied to a language with free word order,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeacded98341dfe2812586f1757c705b
https://doi.org/10.1007/978-3-642-12550-8_9
https://doi.org/10.1007/978-3-642-12550-8_9
Autor:
Felix Jungermann, Katharina Morik
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540698579
NLDB
NLDB
We present a framework combining information retrieval with machine learning and (pre-)processing for named entity recognition in order to extract events from a large document collection. The extracted events become input to a data mining component w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3b2e52b7ee0856003668a0cc348d6d1
https://doi.org/10.1007/978-3-540-69858-6_36
https://doi.org/10.1007/978-3-540-69858-6_36