منابع مشابه
Qa@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...
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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: Nature
سال: 2013
ISSN: 0028-0836,1476-4687
DOI: 10.1038/497564a