Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review
Over the last couple of decades, community question‐answering sites (CQAs) have been a
topic of much academic interest. Scholars have often leveraged traditional machine learning …
topic of much academic interest. Scholars have often leveraged traditional machine learning …
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 …
Expert finding in community question answering: a review
The rapid development of Community Question Answering (CQA) satisfies users' quest for
professional and personal knowledge about anything. In CQA, one central issue is to find …
professional and personal knowledge about anything. In CQA, one central issue is to find …
The state-of-the-art in expert recommendation systems
The recent rapid growth of the Internet content has led to building recommendation systems
that guide users to their needs through an information retrieving process. An expert …
that guide users to their needs through an information retrieving process. An expert …
A short text sentiment-topic model for product reviews
Topic and sentiment joint modelling has been successfully used in sentiment analysis for
product reviews. However, the problem of text sparse is universal with the widespread smart …
product reviews. However, the problem of text sparse is universal with the widespread smart …
A simple and efficient text matching model based on deep interaction
C Yu, H Xue, Y Jiang, L An, G Li - Information Processing & Management, 2021 - Elsevier
In recent years, text matching has gained increasing research focus and shown great
improvements. However, due to the long-distance dependency and polysemy, existing text …
improvements. However, due to the long-distance dependency and polysemy, existing text …
Learning semantic representation with neural networks for community question answering retrieval
In community question answering (cQA), users pose queries (or questions) on portals like
Yahoo! Answers which can then be answered by other users who are often knowledgeable …
Yahoo! Answers which can then be answered by other users who are often knowledgeable …
Expert finding in legal community question answering
Expert finding has been well-studied in community question answering (QA) systems in
various domains. However, none of these studies addresses expert finding in the legal …
various domains. However, none of these studies addresses expert finding in the legal …
High-quality domain expert finding method in CQA based on multi-granularity semantic analysis and interest drift
Y Liu, W Tang, Z Liu, L Ding, A Tang - Information Sciences, 2022 - Elsevier
Expert finding is an important research field in community question answering (CQA).
Traditional expert finding methods mainly exploit topic analysis and authority calculation …
Traditional expert finding methods mainly exploit topic analysis and authority calculation …
Towards comprehensive expert finding with a hierarchical matching network
Abstract In Community Question Answering (CQA) websites, expert finding aims to seek
relevant experts for answering questions. The core of expert finding is to match candidate …
relevant experts for answering questions. The core of expert finding is to match candidate …