Community Question Answering
42 papers with code • 2 benchmarks • 5 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
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Quora Question Pairs
AmazonQA
ANTIQUE
Most implemented papers
Learning Semantic Textual Similarity from Conversations
nickyeolk/info_retrieve
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WS 2018
We present a novel approach to learn representations for sentence-level semantic similarity using conversational data.
Question Condensing Networks for Answer Selection in Community Question Answering
Answer selection is an important subtask of community question answering (CQA).
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms
Specifically, we leverage the success of representation learning for text and images in the visual question answering (VQA) domain, and adapt the underlying concept and architecture for automated category classification and expert retrieval on image-based questions posted on Yahoo!
Automatic Opinion Question Generation
Tina-19/Question-Generation
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WS 2018
We study the problem of opinion question generation from sentences with the help of community-based question answering systems.
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
Directed graphs have been widely used in Community Question Answering services (CQAs) to model asymmetric relationships among different types of nodes in CQA graphs, e. g., question, answer, user.
Identifying Unclear Questions in Community Question Answering Websites
Thousands of complex natural language questions are submitted to community question answering websites on a daily basis, rendering them as one of the most important information sources these days.
ANTIQUE: A Non-Factoid Question Answering Benchmark
Despite the importance of the task, the community still feels the significant lack of large-scale non-factoid question answering collections with real questions and comprehensive relevance judgments.
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services
In this paper, we propose DiffQue, a novel system that maps this problem to a network-aided edge directionality prediction problem.
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models
Community Question Answering forums are popular among Internet users, and a basic problem they encounter is trying to find out if their question has already been posed before.
