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
Most implemented papers
Neural Duplicate Question Detection without Labeled Training Data
We show that our proposed approaches are more effective in many cases because they can utilize larger amounts of unlabeled data from cQA forums.
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings
We describe our system for finding good answers in a community forum, as defined in SemEval-2016, Task 3 on Community Question Answering.
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and Summarisation
UKPLab/tacl2020-interactive-ranking
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For many NLP applications, such as question answering and summarisation, the goal is to select the best solution from a large space of candidates to meet a particular user's needs.
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
Community question answering (CQA) gains increasing popularity in both academy and industry recently.
SemEval-2017 Task 3: Community Question Answering
We describe SemEval-2017 Task 3 on Community Question Answering.
Review-guided Helpful Answer Identification in E-commerce
isakzhang/answer-helpfulness-prediction
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In this paper, we propose the Review-guided Answer Helpfulness Prediction (RAHP) model that not only considers the interactions between QA pairs but also investigates the opinion coherence between the answer and crowds' opinions reflected in the reviews, which is another important factor to identify helpful answers.
What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis
rzhangpku/MFAE
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SIAM International Conference on Data Mining (SDM20) 2020
We firstly propose to explore the asking emphasis of a question as a key factor in DQI.
Improving Quality of a Post's Set of Answers in Stack Overflow
Then, we developed an Eclipse plugin named SOPI and integrated the prediction model in the plugin to link these deficient posts to related developers and help them improve the answer set.
Less is More: Rejecting Unreliable Reviews for Product Question Answering
zswvivi/ecml_pqa
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In the literature, PQA is formulated as a retrieval problem with the goal to search for the most relevant reviews to answer a given product question.
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
ukplab/emnlp2020-multicqa
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EMNLP 2020
We investigate the model performances on nine benchmarks of answer selection and question similarity tasks, and show that all 140 models transfer surprisingly well, where the large majority of models substantially outperforms common IR baselines.
