Cqarank: jointly model topics and expertise in community question answering

L Yang, M Qiu, S Gottipati, F Zhu, J Jiang… - Proceedings of the …, 2013 - dl.acm.org
Community Question Answering (CQA) websites, where people share expertise on open
platforms, have become large repositories of valuable knowledge. To bring the best value …

[PDF][PDF] Learning continuous word embedding with metadata for question retrieval in community question answering

G Zhou, T He, J Zhao, P Hu - … of the 53rd Annual Meeting of the …, 2015 - aclanthology.org
Community question answering (cQA) has become an important issue due to the popularity
of cQA archives on the web. This paper is concerned with the problem of question retrieval …

Deep learning for detecting inappropriate content in text

H Yenala, A Jhanwar, MK Chinnakotla… - International Journal of …, 2018 - Springer
Today, there are a large number of online discussion fora on the internet which are meant
for users to express, discuss and exchange their views and opinions on various topics. For …

[PDF][PDF] Together we stand: Siamese networks for similar question retrieval

A Das, H Yenala, M Chinnakotla… - Proceedings of the 54th …, 2016 - aclanthology.org
Abstract Community Question Answering (cQA) services like Yahoo! Answers1, Baidu
Zhidao2, Quora3, StackOverflow4 etc. provide a platform for interaction with experts and …

Question retrieval with high quality answers in community question answering

K Zhang, W Wu, H Wu, Z Li, M Zhou - Proceedings of the 23rd ACM …, 2014 - dl.acm.org
This paper studies the problem of question retrieval in community question answering
(CQA). To bridge lexical gaps in questions, which is regarded as the biggest challenge in …

Effective transfer learning for identifying similar questions: matching user questions to COVID-19 FAQs

CH McCreery, N Katariya, A Kannan… - Proceedings of the 26th …, 2020 - dl.acm.org
People increasingly search online for answers to their medical questions but the rate at
which medical questions are asked online significantly exceeds the capacity of qualified …

[PDF][PDF] Learning hybrid representations to retrieve semantically equivalent questions

C Dos Santos, L Barbosa, D Bogdanova… - Proceedings of the …, 2015 - aclanthology.org
Retrieving similar questions in online Q&A community sites is a difficult task because
different users may formulate the same question in a variety of ways, using different …

Cqadupstack: A benchmark data set for community question-answering research

D Hoogeveen, KM Verspoor, T Baldwin - Proceedings of the 20th …, 2015 - dl.acm.org
This paper presents a benchmark dataset, CQADupStack, for use in community question-
answering (cQA) research. It contains threads from twelve StackExchange subforums …

Learning semantic representation with neural networks for community question answering retrieval

G Zhou, Y Zhou, T He, W Wu - Knowledge-Based Systems, 2016 - Elsevier
In community question answering (cQA), users pose queries (or questions) on portals like
Yahoo! Answers which can then be answered by other users who are often knowledgeable …

Mitigating gender bias amplification in distribution by posterior regularization

S Jia, T Meng, J Zhao, KW Chang - arxiv preprint arxiv:2005.06251, 2020 - arxiv.org
Advanced machine learning techniques have boosted the performance of natural language
processing. Nevertheless, recent studies, eg, Zhao et al.(2017) show that these techniques …