Identification of relations between answers with global constraints for Community-based Question Answering services

نویسندگان

  • Hikaru Yokono
  • Takaaki Hasegawa
  • Gen-ichiro Kikui
  • Manabu Okumura
چکیده

Community-based Question Answering services contain many threads consisting of a question and its answers. When there are many answers for a question, it is hard for a user to understand them all. To address this problem, we focus on logical relations between answers in a thread and present a model for identifying the relations between the answers. We consider that there are constraints among the relations, such as a transitive law, and that it might be useful to take these constraints into account. To consider these constraints, we propose the model based on a Markov logic network. We also introduce super-relations to give additional information for logical relation identification into our model. Through the experiment, we show that global constraints and super-relations make it easier to identify the relations.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using Generalized Language Model for Question Matching

Question and answering service is one of the popular services in the World Wide Web. The main goal of these services is to finding the best answer for user's input question as quick as possible. In order to achieve this aim, most of these use new techniques foe question matching. . We have a lot of question and answering services in Persian web, so it seems that developing a question matching m...

متن کامل

Towards Predicting the Best Answers in Community-based Question-Answering Services

Community-based question-answering (CQA) services contribute to solving many difficult questions we have. For each question in such services, one best answer can be designated, among all answers, often by the asker. However, many questions on typical CQA sites are left without a best answer even if when good candidates are available. In this paper, we attempt to address the problem of predictin...

متن کامل

Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning

Expert finding for question answering is a challenging problem in Community-based Question Answering (CQA) site, arising in many applications such as question routing and the identification of best answers. In order to provide high-quality experts, many existing approaches learn the user model mainly from their past question-answering activities in CQA sites, which suffer from the sparsity prob...

متن کامل

Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services

This paper focuses on analyzing and predicting not-answered questions in Community based Question Answering (CQA) services, such as Yahoo! Answers. In CQA, users express their information needs by submitting questions and await answers from other users. One of the key problems of this pattern is that sometimes no one helps to give answers. In this paper, we analyze the not-answered questions an...

متن کامل

Modeling Community Question-Answering Archives

Community Question Answering (CQA) services contain large archives of previously asked questions and their answers. We present a statistical topic model for modeling Question-Answering archives. The model explicitly captures relationships between questions and their answers by modeling topical dependencies. We show that the model achieves improved performance in retrieving the correct answer fo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011