Community Question Answering
42 papers with code • 2 benchmarks • 6 datasets
Community question answering is the task of answering questions on a Q&A forum or board, such as Stack Overflow or Quora.
Benchmarks
These leaderboards are used to track progress in Community Question Answering
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Quora Question Pairs
AmazonQA
ANTIQUE
Latest papers with no code
Task Preferences across Languages on Community Question Answering Platforms
With the steady emergence of community question answering (CQA) platforms like Quora, StackExchange, and WikiHow, users now have an unprecedented access to information on various kind of queries and tasks.
Best-Answer Prediction in Q&A Sites Using User Information
We address this limitation using a novel method for predicting the best answers using the questioner's background information and other features, such as the textual content or the relationships with other participants.
Answer ranking in Community Question Answering: a deep learning approach
We conclude that while a deep learning approach may be helpful in answer ranking problems new methods should be developed to assist with the large number of out of vocabulary words present in the programming code snippets
Mining Duplicate Questions of Stack Overflow
There has a been a significant rise in the use of Community Question Answering sites (CQAs) over the last decade owing primarily to their ability to leverage the wisdom of the crowd.
Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion
Community Question Answering (CQA) websites have become valuable knowledge repositories where individuals exchange information by asking and answering questions.
Multi-View Approach to Suggest Moderation Actions in Community Question Answering Sites
Our results clearly demonstrate the high influence of our feature generation components on the overall success of the classifier.
Towards Semantic Search for Community Question Answering for Mortgage Officers
We have built a dynamic CQA platform with a state of the art semantic search engine based on recent Natural Language Processing (NLP) techniques to dynamically and collectively capture and transfer the maturity and tribal knowledge of the more experienced workforce to less experienced ones.
Bayesian Deep Learning for Interactive Community Question Answering
Human-in-the-loop interactive learning has been shown to be effective for best solution selection tasks.
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents
Text semantic matching is a fundamental task that has been widely used in various scenarios, such as community question answering, information retrieval, and recommendation.
PerCQA: Persian Community Question Answering Dataset
In this paper, we present PerCQA, the first Persian dataset for CQA.
