Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hendrik ter Horst"'
Autor:
Hendrik ter Horst, Nicole Brazda, Jessica Schira-Heinen, Julia Krebbers, Hans-Werner Müller, Philipp Cimiano
The paradigm of evidence-based medicine requires that medical decisions are made on the basis of the best available knowledge published in the literature. Existing evidence is often summarized in the form of systematic reviews and/or meta-reviews and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb453e40d7ca86c422570f4fa5f32055
https://doi.org/10.1016/j.artmed.2023.102491
https://doi.org/10.1016/j.artmed.2023.102491
Autor:
Nicole Brazda, Matthias Hartung, Roman Klinger, Philipp Cimiano, Hans Werner Müller, Hendrik ter Horst
The ability to accurately extract key information from textual documents is necessary in several downstream applications e.g., automatic knowledge base population from text, semantic information retrieval, question answering, or text summarization. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::605d2649bec84f0128d5abc38df52906
https://pub.uni-bielefeld.de/record/2942743
https://pub.uni-bielefeld.de/record/2942743
Autor:
Philipp Cimiano, Hendrik ter Horst
Publikováno v:
SPNLP@EMNLP
Model-complete text comprehension aims at interpreting a natural language text with respect to a semantic domain model describing the classes and their properties relevant for the domain in question. Solving this task can be approached as a structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7a54bcc7184dc0aa0709224e7f89682
https://doi.org/10.18653/v1/2020.spnlp-1.4
https://doi.org/10.18653/v1/2020.spnlp-1.4
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030003371
Reasoning Web
Reasoning Web
In this tutorial we discuss how Conditional Random Fields can be applied to knowledge base population tasks. We are in particular interested in the cold-start setting which assumes as given an ontology that models classes and properties relevant for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eeddb9fe575ffc2d48230956c68b988
https://doi.org/10.1007/978-3-030-00338-8_4
https://doi.org/10.1007/978-3-030-00338-8_4
Autor:
Philipp Cimiano, Frank Grimm, Tim Diekmann, Hendrik ter Horst, Roman Klinger, Matthias Hartung
Publikováno v:
ACL (4)
PUB-Publications at Bielefeld University
PUB-Publications at Bielefeld University
Supervised machine learning algorithms require training data whose generation for complex relation extraction tasks tends to be difficult. Being optimized for relation extraction at sentence level, many annotation tools lack in facilitating the annot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc7e50eb07ae94044d0e79e34e6a88fe
https://doi.org/10.18653/v1/p18-4012
https://doi.org/10.18653/v1/p18-4012
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319598871
LDK
LDK
The problems of recognizing mentions of entities in texts and linking them to unique knowledge base identifiers have received considerable attention in recent years. In this paper we present a probabilistic system based on undirected graphical models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f57328054df82eda88e1c5b3747e2b
https://doi.org/10.1007/978-3-319-59888-8_15
https://doi.org/10.1007/978-3-319-59888-8_15