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
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
Yale-LILY/ConvoSumm
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ACL 2021
While online conversations can cover a vast amount of information in many different formats, abstractive text summarization has primarily focused on modeling solely news articles.
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
However, these models designed for short texts cannot well address the long-form text matching problem, because there are many contexts in long-form texts can not be directly aligned with each other, and it is difficult for existing models to capture the key matching signals from such noisy data.
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection
tahmedge/BERT-for-Answer-Selection
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We find that fine-tuning the BERT model for the answer selection task is very effective and observe a maximum improvement of 13. 1% in the QA datasets and 18. 7% in the CQA datasets compared to the previous state-of-the-art.
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.
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.
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.
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.
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.
Predicting Subjective Features of Questions of QA Websites using BERT
huggingface/transformers
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ICWR 2020
Community Question-Answering websites, such as StackOverflow and Quora, expect users to follow specific guidelines in order to maintain content quality.
SemEval-2017 Task 3: Community Question Answering
We describe SemEval-2017 Task 3 on Community Question Answering.
