README.markdown in lda-ruby-0.3.1 vs README.markdown in lda-ruby-0.3.4

@@ -13,18 +13,17 @@
     lda = Lda::Lda.new(corpus)    # create an Lda object for training
     lda.em("random")              # run EM algorithm using random starting points
     lda.load_vocabulary("data/vocab.txt")
     lda.print_topics(20)          # print the topic 20 words per topic
 
-You can check out the mailing list for this project if you have any questions or mail [e-mail] [email link]. If you have general questions about Latent Dirichlet Allocation, I urge you to use the [topic models mailing list][topic-models], since the people who monitor that are very knowledgeable.
+If you have general questions about Latent Dirichlet Allocation, I urge you to use the [topic models mailing list][topic-models], since the people who monitor that are very knowledgeable.  If you encounter bugs specific to lda-ruby, please post an issue on the Github project.
 
 ## Resources
 
 + [Blog post about LDA-Ruby][lda-ruby]
 + [David Blei's lda-c code][blei]
 + [Wikipedia article on LDA][wikipedia]
 + [Sample AP data][ap-data]
-
 
 ## References
 
 Blei, David M., Ng, Andrew Y., and Jordan, Michael I. 2003. Latent dirichlet allocation. Journal of Machine Learning Research. 3 (Mar. 2003), 993-1022 [[pdf][pdf]].
 
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