Short answer question is one of the methods used to evaluate student cognitive abilities, including memorizing, designing, and freely expressing answers based on their thoughts. Unfortunately, grading short more complicated than multiple choices answers. For that problem, several studies have tried build an artificial intelligence system called automatic (ASAG). We improve accuracy ASAG at scor...

This paper describes our participation to the Entrance Exams Task of CLEF 2014’s Question Answering Track. The goal is to answer multiple-choice questions on short texts. Our system first retrieves passages relevant to the question, through lexical expansion involving a structured use of the Simple English Wiktionary and WordNet. Then it extracts predicate-argument structures (PAS) from each an...

In the 2012 edition of CLEF, the DI@UE team has signed up for Question Answering for Machine Reading Evaluation (QA4MRE) main task. For each question, our system tries to guess which of the five hypotheses is the more plausible response, taking into account the reading test content and the documents from the background collection on the question topic. For each question, the system applies Name...

We define Question Classification (QC) here to be the task that, given a question, maps it to one of k classes, which provide a semantic constraint on the sought-after answer [Li02]. The topic of Question Classification arises in the area of automated question-answering systems, such as those created for the TREC question answering competition. Automated question-answering systems differ from o...