knowing that in distribution of khoms according to quran and imamid fiqh three portions out of six relates to needy sayyids so called bani hashim, the question is that are the hashimis who their mothers are sayyide - with non - sayyid father - deserved for khoms? as we know, mother-related children are legitimate, and the same as father-related ones, and there is no difference between them acco...

The element of the urinary tract that remains to be examined is the urethra. At fi rst, it was assessed with the use of a convex transducer via the transperineal access (fi g. 1). The registered image indicates a pathology in the region of the urethra, but it is insuffi cient to establish a defi nite diagnosis. Therefore, a linear high-frequency probe was placed at the same site (fi g. 2) which...

We tackle the problem of answer type prediction, applying a transition-based neural network parser to understand the syntactic structure of a query and infer the focus word or phrase that contains the correct type. To achive this, we first come up with a framework to combine a dataset of labeled question-answer pairs and a type inventory into a dataset to learn types. Second, we fit a sigmoid p...

In open domain question-answering systems, numerous questions wait for answers of an explicit type. For example, the question “Which president succeeded Jacques Chirac?” requires an instance of president as answer. The method we present in this article aims at verifying that an answer given by a system corresponds to the given type. This verification is done by combining criteria provided by di...

Machine comprehension (MC) and question answering (QA) are crucial tasks in natural language understanding. Training deep neural network-based QA models has become practical upon the recent release of the Stanford Question Answering Dataset (SQuAD), a significantly larger dataset of question-answer pairs created by humans on a set of Wikipedia articles [1]. In this paper, we propose an end-to-e...

As part of the task of automated question answering from a large collection of text documents, the reduction of the search space to a smaller set of document passages that are actually searched for answers constitutes a difficult but rewarding research issue. We propose a set of precision-enhancing filters for passage retrieval based on semantic constraints detected in the submitted questions. ...