A lot of NLP related papers. Here are a few of my favorites.<p>- HMMs and Perceptrons for Part-of-Speech Tagging and Chunking - <a href="http:&#x2F;&#x2F;www.aclweb.org&#x2F;anthology&#x2F;W02-1001" rel="nofollow">http:&#x2F;&#x2F;www.aclweb.org&#x2F;anthology&#x2F;W02-1001</a><p>- MaxEnt for Part-of-Speech Tagging - <a href="http:&#x2F;&#x2F;www.aclweb.org&#x2F;anthology&#x2F;W96-0213" rel="nofollow">http:&#x2F;&#x2F;www.aclweb.org&#x2F;anthology&#x2F;W96-0213</a><p>- RNNs for Slot Filling - <a href="http:&#x2F;&#x2F;www.iro.umontreal.ca&#x2F;~lisa&#x2F;pointeurs&#x2F;RNNSpokenLanguage2013.pdf" rel="nofollow">http:&#x2F;&#x2F;www.iro.umontreal.ca&#x2F;~lisa&#x2F;pointeurs&#x2F;RNNSpokenLanguag...</a><p>Not related to NLP, but I really like the Facebook paper that covered delta of delta compression for time series data.<p>- <a href="http:&#x2F;&#x2F;www.vldb.org&#x2F;pvldb&#x2F;vol8&#x2F;p1816-teller.pdf" rel="nofollow">http:&#x2F;&#x2F;www.vldb.org&#x2F;pvldb&#x2F;vol8&#x2F;p1816-teller.pdf</a>