منابع مشابه
Caulfield East VIC 3145 Australia
Prior research has argued that use of optional properties in conceptual models results in loss of information about the semantics of the domains represented by the models. Empirical research undertaken to date supports this argument. Nevertheless, no systematic analysis has been done of whether use of optional properties is always problematic. Furthermore, prior empirical research might have de...
متن کاملRyan and Caulfield 2010 (2)
Public service fleets offer an attractive option for introducing new renewable fuels on a large scale, which allow for the reduction of both greenhouse gas emissions and exhaust air pollutants. This study examines the use of biomethane (bio-CNG) and compressed natural gas (CNG) for part of the bus fleet in Dublin, Ireland. The emissions produced from the 2008 fleet based at one of the city’s se...
متن کاملDalTREC 2006 QA System Jellyfish: Regular Expressions Mark-and-Match Approach to Question Answering
We present a question-answering system Jellyfish. Our approach is based on marking and matching steps that are implemented using the methodology of cascaded regular-expression rewriting. We present the system architecture and evaluate the system using the TREC 2004, 2005, and 2006 datasets. TREC 2004 was used as a training dataset, while TREC 2005 and TREC 2006 were used as testing dataset. The...
متن کاملDalTREC 2005 QA System Jellyfish: Mark-and-Match Approach to Question Answering
This is the second year that Dalhousie University actively participated in TREC. Three runs were submitted for the Question Answering track. Our results are below the median; however, they’re signifantly larger than minimal, the lesson learnt will guide our future development of the system. Our approach was based on a mark-and-match methodology with regular expression rewriting.
متن کاملQa@l2f@qa@clef
This paper introduces L2F’s (INESC-ID) question/answering system and presents its results in the QA@CLEF07 evaluation task. QA@LF bases its performance on a high-quality deep linguistic analysis of the question, which is strongly based on named entity recognition. However, if a precise analysis is not possible or if no answer is found in previous processed data, the system is also capable of re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature
سال: 2015
ISSN: 0028-0836,1476-4687
DOI: 10.1038/527s5a