Question answering systems can be seen as the next step in information retrieval, allowing users to pose questions in natural language and receive succinct answers. In order for a question answering system as a whole to be successful, research has shown that the correct classification of questions with regards to the expected answer type is imperative. Question classification has two components...

The queries to a practical Question Answering (QA) system range from keywords, phrases, badly written questions, and occasionally grammatically perfect questions. Among different kinds of question analysis approaches, the pattern matching works well in analyzing such queries. It is costly to build this pattern matching module because tremendous manual labor is needed to expand its coverage to s...

We describe an algorithm approximating the following question: Given two types t1 and t2, are there instances σ(t1) and σ(t2) denoting a common element? By answering this question we solve a main problem towards a type checking algorithm for non-disjoint types that raises an error just for function calls that cannot be executed successfully. For dynamically typed functional languages such a typ...

Background Medication errors (MEs) are the most common types of medical errors which effecting on pediatric safety. For decrease MEs, we should to have information about difference aspects of MEs. We have no study which assessed the frequency, types and causes of MEs made by pediatric nurses, in Iran. Material and Methods This was a cross-sectional study, which performed on 53 Pediatric Nurses....

This study is devoted to the problem of question analysis for a Polish question answering system. The goal of the question analysis is to determine its general structure, type of an expected answer and create a search query for finding relevant documents in a textual knowledge base. The paper contains an overview of available solutions of these problems, description of their implementation and ...

Prior research has established that various aspects of the user’s situation, collectively called the user model, affect what information is relevant. The purpose of our research is to refine this idea by exploring how different aspects of the user model are salient for different question types. Our methodology follows tradition in studying real intermediary elicitations for clues about what asp...