Microsoft Research Social Media Conversation Corpus
Introduced by Sordoni et al. in A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Microsoft Research Social Media Conversation Corpus consists of 127M context-message-response triples from the Twitter FireHose, covering the 3-month period June 2012 through August 2012. Only those triples where context and response were generated by the same user were extracted. To minimize noise, only triples that contained at least one frequent bigram that appeared more than 3 times in the corpus was selected. This produced a corpus of 29M Twitter triples.
Source: A Neural Network Approach to Context-Sensitive Generation of Conversational ResponsesPapers
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