منابع مشابه
DalTREC 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 کاملفرایند دریافت E- Mark
با گسترش روزافزون صنعت حمل‌و‌نقل درجهان و ارتقای استانداردها، تدوین و اجرای استانداردهای بین‌المللی، یک امر ضروری به‌نظر می‌رسد. E- Mark یک مجموعه قانون‌های هماهنگ بین‌المللی برای خودرو و قطعه‌های آن است که تمامی تولیدکنندگان وسیله‌های نقیله و قطعه‌ها ملزم به رعایت آن هستند. تولیدکنندگان تایر نیز از این امر مستثنی نیستند و باید برای تایرهای خود این مجوز را دریافت کنند. در این مقاله روش دریافت E...
متن کاملQA@L2F, Second Steps at QA@CLEF
This paper describes the participation of QA@LF, the question-answering system from LF/INESC-ID, at the QA track of CLEF in 2008. Making intensive use of a Natural Language Processing chain (which includes, among others, a morphological analyzer, a disambiguation module, a multi-word recognizer, a chunker and a named entities recognizer), QA@LF is based on a three module approach to answer ques...
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ژورنال
عنوان ژورنال: The Biochemist
سال: 2007
ISSN: 0954-982X,1740-1194
DOI: 10.1042/bio02902031