J
Johannes Leveling
Researcher at Dublin City University
Publications - 122
Citations - 1919
Johannes Leveling is an academic researcher from Dublin City University. The author has contributed to research in topics: Query expansion & Question answering. The author has an hindex of 16, co-authored 122 publications receiving 1730 citations. Previous affiliations of Johannes Leveling include FernUniversität Hagen & Rolf C. Hagen Group.
Papers
More filters
Proceedings ArticleDOI
Findings of the 2014 Workshop on Statistical Machine Translation
Ondrej Bojar,Christian Buck,Christian Federmann,Barry Haddow,Philipp Koehn,Johannes Leveling,Christof Monz,Pavel Pecina,Matt Post,Herve Saint-Amand,Radu Soricut,Lucia Specia,Aleš Tamchyna +12 more
TL;DR: The results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translationtask, a task for run-time estimation of machine translation quality, and a metrics task, are presented.
Book ChapterDOI
Overview of the ShARe/CLEF eHealth Evaluation Lab 2013
Hanna Suominen,Sanna Salanterä,Sumithra Velupillai,Wendy W. Chapman,Guergana Savova,Noémie Elhadad,Sameer Pradhan,Brett R. South,Danielle L. Mowery,Gareth J. F. Jones,Johannes Leveling,Liadh Kelly,Lorraine Goeuriot,David Martinez,Guido Zuccon +14 more
TL;DR: An evaluation lab with an aim to support the continuum of care by developing methods and resources that make clinical reports in English easier to understand for patients, and which helps them in finding information related to their condition.
Book Chapter
Overview of the ShARe/CLEF eHealth Evaluation Lab 2013
Hanna Suominen,Sanna Salanterä,Sumithra Velupillai,Wendy W. Chapman,Guergana Savova,Noémie Elhadad,Sameer Pradhan,Brett R. South,Danielle L. Mowery,Gareth J. F. Jones,Johannes Leveling,Liadh Kelly,Lorraine Goeuriot,David Martinez,Guido Zuccon +14 more
TL;DR: In this paper, the authors report on an evaluation lab with an aim to support the continuum of care by developing methods and resources that make clinical reports in English easier to understand for patients, and which helps them in finding information related to their condition.
Proceedings Article
ShARe/CLEF eHealth Evaluation Lab 2013, Task 3: Information Retrieval to Address Patients' Questions when Reading Clinical Reports
Lorraine Goeuriot,Gareth J. F. Jones,Liadh Kelly,Johannes Leveling,Allan Hanbury,Henning Müller,Sanna Salanterä,Hanna Suominen,Hanna Suominen,Guido Zuccon +9 more
TL;DR: This paper presents the results of task 3 of the ShARe/CLEF eHealth Evaluation Lab 2013, investigating the effect of using additional information such as the discharge summaries and external resources such as medical ontologies on the IR eectiveness.
Proceedings ArticleDOI
Patent query reduction using pseudo relevance feedback
TL;DR: This work proposes a new query reduction technique decomposing a patent application into constituent text segments and computing the Language Modeling (LM) similarities by calculating the probability of generating each segment from the top ranked documents, and reduces a patent query by removing the least similar segments from the query.