Community Question Answering
39 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.
These leaderboards are used to track progress in Community Question Answering
Most implemented papers
Predicting Subjective Features of Questions of QA Websites using BERT
Community Question-Answering websites, such as StackOverflow and Quora, expect users to follow specific guidelines in order to maintain content quality.
Fact Checking in Community Forums
Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information.
Community Question Answering Entity Linking via Leveraging Auxiliary Data
Community Question Answering (CQA) platforms contain plenty of CQA texts (i. e., questions and answers corresponding to the question) where named entities appear ubiquitously.
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF
In community question answering (cQA), the quality of answers are determined by the matching degree between question-answer pairs and the correlation among the answers.
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue Identification
In this paper we present the system for Answer Selection and Ranking in Community Question Answering, which we build as part of our participation in SemEval-2017 Task 3.
SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question Answering
In this paper we propose a system for reranking answers for a given question.
Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums
We address information credibility in community forums, in a setting in which the credibility of an answer posted in a question thread by a particular user has to be predicted.
Fully Automated Fact Checking Using External Sources
Given the constantly growing proliferation of false claims online in recent years, there has been also a growing research interest in automatically distinguishing false rumors from factually true claims.
QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites
We also propose a model to route newly posted questions to appropriate users based on the difficulty level of the question and the expertise of the user.