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
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Quora Question Pairs
AmazonQA
ANTIQUE
Latest papers with no code
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching
Although DC-Match is a simple yet effective method for semantic matching, it highly depends on the external NER techniques to identify the keywords of sentences, which limits the performance of semantic matching for minor languages since satisfactory NER tools are usually hard to obtain.
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
In the continuously advancing AI landscape, crafting context-rich and meaningful responses via Large Language Models (LLMs) is essential.
Reinforcement learning for question answering in programming domain using public community scoring as a human feedback
In this study, we investigate the enhancement of the GPT Neo 125M performance in Community Question Answering (CQA) with a focus on programming, through the integration of Reinforcement Learning from Human Feedback (RLHF) and the utilization of scores from Stack Overflow.
PEPT: Expert Finding Meets Personalized Pre-training
For alleviating this, we present a personalized pre-training and fine-tuning paradigm, which could effectively learn expert interest and expertise simultaneously.
Enhancing Answer Selection in Community Question Answering with Pre-trained and Large Language Models
Moreover, we use the LLM to generate external knowledge from questions and correct answers to achieve knowledge augmentation for the answer selection task by LLM, while optimizing the prompt of LLM in different aspects.
Feature Engineering in Learning-to-Rank for Community Question Answering Task
Thirdly, using our proposed concepts, we conduct an empirical investigation with different rank-learning algorithms, some of which have not been used so far in CQA domain.
Evaluating the Ebb and Flow: An In-depth Analysis of Question-Answering Trends across Diverse Platforms
Community Question Answering (CQA) platforms steadily gain popularity as they provide users with fast responses to their queries.
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities
To facilitate the task of the moderators, in this work, we have tackled two significant issues for the askubuntu CQA platform: (1) retrieval of duplicate questions given a new question and (2) duplicate question confirmation time prediction.
Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users
To develop better tag prediction across diverse communities and domains, we performed a thorough analysis of users' tagging behavior in 17 StackExchange communities.
Bayesian Networks for Named Entity Prediction in Programming Community Question Answering
We also discuss the influence of penalty terms on the structure of Bayesian networks and how they can be used to analyze the relationships between entities.
