Question terminology and representation for question type classification

Question terminology is a set of terms which appear in keywords, idioms and fixed expressions commonly observed in questions. This paper investigates ways to automatically extract question terminology from a corpus of questions and represent them for the purpose of classifying by question type . Our key interest is to see whether or not semantic features can enhance the representation of strongly lexical nature of question sentences. We compare two feature sets: one with lexical features only, and another with a mixture of lexical and semantic features. For evaluation, we measure the classification accuracy made by two machine learning algorithms, C5.0 and PEBLS, by using a procedure called domain cross-validation , which effectively measures the domain transferability of features

Information retrieval · Linguistics · Natural language processing · Programming language · Terminology · Computer Science · Mathematics · Natural Language Processing Techniques · Text and Document Classification Technologies · Topic Modeling · Artificial Intelligence