<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Graeme was a grad student at Brown? I never knew that. <div><br></div><div>He is...smart but annoying! </div><div><br></div><div><br><div><div>On Aug 12, 2011, at 11:34 AM, Graeme Hirst wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div class="arttitle"><b>NEW BOOK</b></div><div class="arttitle"><i><b><br></b></i></div><div class="arttitle"><i><b>Linguistic Structure Prediction</b></i></div><a class="entryAuthor" href="http://www.morganclaypool.com/action/doSearch?action=runSearch&type=advanced&result=true&prevSearch=%2Bauthorsfield%3A%28Smith%2C+Noah+A.%29">Noah A. Smith</a><div class="art_meta">2011</div><a class="ref nowrap" target="_blank" title="Opens new window" href="http://www.morganclaypool.com/doi/pdf/10.2200/S00361ED1V01Y201105HLT013">PDF (2766 KB)</a> | <a class="ref nowrap" target="_blank" title="Opens new window" href="http://www.morganclaypool.com/doi/pdfplus/10.2200/S00361ED1V01Y201105HLT013">PDF Plus (2767 KB)</a> <br><br><i>Abstract</i><br><p>A major part of natural language processing now depends on the use of text data to build linguistic analyzers. We consider statistical, computational approaches to modeling linguistic structure. We seek to unify across many approaches and many kinds of linguistic structures. Assuming a basic understanding of natural language processing and/or machine learning, we seek to bridge the gap between the two fields. Approaches to decoding (i.e., carrying out linguistic structure prediction) and supervised and unsupervised learning of models that predict discrete structures as outputs are the focus. We also survey natural language processing problems to which these methods are being applied, and we address related topics in probabilistic inference, optimization, and experimental methodology.</p><p class="last"><i>Table of Contents: </i>Representations and Linguistic Data / Decoding: Making Predictions / Learning Structure from Annotated Data / Learning Structure from Incomplete Data / Beyond Decoding: Inference</p>This title is available online free of charge to members of institutions that that have licensed the content through the <a href="http://www.morganclaypool.com/page/synthesis.jsp" target="_blank">Synthesis Digital Library of Engineering and Computer Science</a> or the <a href="http://www.morganclaypool.com/toc/hlt/1/1">Synthesis Lectures on Human Language Technologies</a>. <br><br>Use of this book as a course text is encouraged; and the text may be downloaded without restriction at licensing institutions, or after a one-time fee of $30 USD at non-licensing schools. To find out whether your institution is a subscriber, visit <<a href="http://www.morganclaypool.com/page/licensed" target="_blank">http://www.morganclaypool.com/page/licensed</a>>, or follow the links above and attempt to download the PDF. Additional information about Synthesis can be found through the following links, or by contacting me directly. <br><div><p>Available titles and subject areas: <a href="http://www.morganclaypool.com/page/ForthcomingSynthesisLectures" target="_blank">http://www.morganclaypool.com/page/ForthcomingSynthesisLectures</a><br>Information for librarians, including pricing and license: <a href="http://www.morganclaypool.com/page/librarian_info" target="_blank">http://www.morganclaypool.com/page/librarian_info</a><br>A review of Synthesis in ISTL: <a href="http://www.istl.org/09-winter/electronic.html" target="_blank">http://www.istl.org/09-winter/electronic.html</a></p></div>This book can also be purchased in print directly from the <a href="https://secure.aidcvt.com/mcp/default.asp" target="_blank">Morgan & Claypool Bookstore</a> for $60.00 USD, from <a href="http://Amazon.com/">Amazon.com</a>, and other booksellers worldwide.<br></div>_______________________________________________<br>UNSUBSCRIBE from this page: <a href="http://mailman.uib.no/options/corpora">http://mailman.uib.no/options/corpora</a><br>Corpora mailing list<br><a href="mailto:Corpora@uib.no">Corpora@uib.no</a><br>http://mailman.uib.no/listinfo/corpora<br></blockquote></div><br></div></body></html>