A comprehensive survey and classification of approaches for community question answering
Community question-answering (CQA) systems, such as Yahoo! Answers or Stack Overflow,
belong to a prominent group of successful and popular Web 2.0 applications, which are …
belong to a prominent group of successful and popular Web 2.0 applications, which are …
Generating synthetic data for neural keyword-to-question models
Search typically relies on keyword queries, but these are often semantically ambiguous. We
propose to overcome this by offering users natural language questions, based on their …
propose to overcome this by offering users natural language questions, based on their …
Improving Online Q&A Service with Deep Learning
D Heng, L Yingxuan - Data Analysis and Knowledge …, 2020 - manu44.magtech.com.cn
[Objective] This paper develops a neural network model to improve the online questioning
and answering services.[Methods] First, we retrieved and constructed our experimental …
and answering services.[Methods] First, we retrieved and constructed our experimental …
Improving Usefulness of Community Question Answering Services Towards Better Searcher Satisfaction and Question Recommendation
Q Liu - 2015 - search.proquest.com
Abstract Community-based Question Answering (CQA) sites, such as Yahoo! Answers and
Quora, provide a promising way of finding and sharing information online. This thesis aims …
Quora, provide a promising way of finding and sharing information online. This thesis aims …