با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
فناوری اطلاعات - Information Technology
سال انتشار:
2018
عنوان انگلیسی مقاله:
Unsupervised Latent Dirichlet Allocation for supervised question classification
ترجمه فارسی عنوان مقاله:
تخصیص نهفته نظارت نشده دیریکله برای دسته بندی نظارت شده سوال
منبع:
Information Processing & Management Volume 54, Issue 3, May 2018, Pages 380-393
نویسنده:
Saeedeh Momtazi
چکیده انگلیسی:
Question answering systems assist users in satisfying their information needs more precisely by providing focused responses to their questions. Among the various systems developed for such a purpose, community-based question answering has recently received researchers’ attention due to the large amount of user-generated questions and answers in social question-and-answer platforms. Reusing such data sources requires an accurate information retrieval component enhanced by a question classifier. The question classification gives the system the possibility to have information about question categories to focus on questions and answers from relevant categories to the input question. In this paper, we propose a new method based on unsupervised Latent Dirichlet Allocation for classifying questions in community-based question answering. Our method first uses unsupervised topic modeling to extract topics from a large amount of unlabeled data. The learned topics are then used in the training phase to find their association with the available category labels in the training data. The category mixture of topics is finally used to predict the label of unseen data.
keywords: Community-based QA |Question classification |LDA
قیمت: رایگان
توضیحات اضافی: نظر
تعداد نظرات : 0