Scaling question answering to the web
ACM Transactions on Information Systems (TOIS)
Pre-empting user questions through anticipation: data mining FAQ lists
SAICSIT '02 Proceedings of the 2002 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology
The Journal of Machine Learning Research
Official Eclipse 3.0 Faq (Eclipse Series)
Official Eclipse 3.0 Faq (Eclipse Series)
Finding semantically similar questions based on their answers
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieving answers from frequently asked questions pages on the web
Proceedings of the 14th ACM international conference on Information and knowledge management
Proceedings of the 2006 international workshop on Mining software repositories
A framework to predict the quality of answers with non-textual features
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Methods for using textual entailment in open-domain question answering
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Detection of question-answer pairs in email conversations
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Finding question-answer pairs from online forums
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic documentation inference for exceptions
ISSTA '08 Proceedings of the 2008 international symposium on Software testing and analysis
A classification-based approach to question answering in discussion boards
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Api hyperlinking via structural overlap
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
A graph-based semi-supervised learning for question-answering
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Towards automatically generating summary comments for Java methods
Proceedings of the IEEE/ACM international conference on Automated software engineering
LDA based similarity modeling for question answering
SS '10 Proceedings of the NAACL HLT 2010 Workshop on Semantic Search
Predicting best answerers for new questions in community question answering
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Estimating the Optimal Number of Latent Concepts in Source Code Analysis
SCAM '10 Proceedings of the 2010 10th IEEE Working Conference on Source Code Analysis and Manipulation
Automated topic naming to support cross-project analysis of software maintenance activities
Proceedings of the 8th Working Conference on Mining Software Repositories
Modeling the evolution of topics in source code histories
Proceedings of the 8th Working Conference on Mining Software Repositories
Encyclopedia of Machine Learning
Encyclopedia of Machine Learning
Recovering a Balanced Overview of Topics in a Software Domain
SCAM '11 Proceedings of the 2011 IEEE 11th International Working Conference on Source Code Analysis and Manipulation
Finding relevant answers in software forums
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
Tag recommendation in software information sites
Proceedings of the 10th Working Conference on Mining Software Repositories
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Frequently asked questions (FAQs) are a popular way to document software development knowledge. As creating such documents is expensive, this paper presents an approach for automatically extracting FAQs from sources of software development discussion, such as mailing lists and Internet forums, by combining techniques of text mining and natural language processing. We apply the approach to popular mailing lists and carry out a survey among software developers to show that it is able to extract high-quality FAQs that may be further improved by experts.