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Community Question Answering

17 papers with code · Natural Language Processing
Subtask of Question Answering

Community question answering is the task of answering questions on a Q&A forum or board, such as Stack Overflow or Quora.

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Greatest papers with code

Predicting Subjective Features from Questions on QA Websites using BERT

ICWR 2020 tensorflow/models

Community Question-Answering websites, such as StackOverflow and Quora, expect users to follow specific guidelines in order to maintain content quality.

COMMON SENSE REASONING COMMUNITY QUESTION ANSWERING QUESTION QUALITY ASSESSMENT READING COMPREHENSION

Identifying Unclear Questions in Community Question Answering Websites

18 Jan 2019jantrienes/ecir2019-qac

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.

COMMUNITY QUESTION ANSWERING TEXT CLASSIFICATION

Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms

29 Aug 2018avikalp7/VQAtoCQA

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!

COMMUNITY QUESTION ANSWERING REPRESENTATION LEARNING VISUAL QUESTION ANSWERING

Fact Checking in Community Forums

8 Mar 2018qcri/QLFactChecking

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

Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF

COLING 2016 o0laika0o/CNN-LSTM-CRF-for-cQA-answer-tagging

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.

COMMUNITY QUESTION ANSWERING

Fully Automated Fact Checking Using External Sources

RANLP 2017 gkaradzhov/FactcheckingRANLP

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.

COMMUNITY QUESTION ANSWERING