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@nschneid
Created February 13, 2016 16:55
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<h2>Lectures</h2>
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<div id="contentarea"><div class="cell text-cell"><div>2nd lecture: less time on XML. genre differences</div><div>tokenization &amp; ambiguity</div><div><br></div><div>assignment covers Twitter, noisiness</div><div><br></div>Move 3rd lecture (corpus evaluation) later to Feb. 12. talk about POS tagging, sentiment analysis, crowdsourcing. annotation quality—inter-annotator agreement, multiple annotators &amp; adjudication.<div><br></div><div><br></div></div><div class="cell text-cell"><div>T = Tuesday, F = Friday</div></div><div class="cell text-cell"><div><b style="color: rgb(221, 221, 221);">REVISED:</b></div><b style="color: rgb(221, 221, 221);"><div><b style="color: rgb(221, 221, 221);"><br></b></div>Jan 12T: Intro. Sharon, Nathan</b><div style="color: rgb(221, 221, 221);"><b>15F: Intro to corpora. Nathan</b></div><div style="color: rgb(221, 221, 221);">19T, 22F, 26T: Language modeling. Sharon</div><div style="color: rgb(221, 221, 221);">29T, Feb 2T, 5F, 9T: HMMs/POS, noisy channel, text categorization. Sharon</div><div style="color: rgb(221, 221, 221);"><b>12F: Experimental methods: Significance, train/test splits, cross-validation. Challenges of POS annotation, IAA. Nathan</b></div><div style="color: rgb(221, 221, 221);">— week of Feb 15: break —</div><div style="color: rgb(221, 221, 221);">23T: Review of syntax, parsing. Sharon</div><div style="color: rgb(221, 221, 221);">26F:&nbsp;<span style="color: rgb(221, 221, 221);">Statistical constituency parsing. Sharon</span></div><div style="color: rgb(221, 221, 221);"><b style="color: rgb(221, 221, 221);">Mar 1T</b><b>: Dependency parsing (12.4.4, 12.7). Nathan</b></div><div><b>4F, 8T, 11F: Lexical semantics: WordNet/WSD; distributional &amp; collocations; SRL. Nathan</b></div><div style="color: rgb(221, 221, 221);"><b>15T: Coreference. MT. QA. Paraphrase? Crowdsourcing? Nathan</b><b><br></b></div><div style="color: rgb(221, 221, 221);"><b>18F: Wrap-up (incl. big picture of meaning, ads for more advanced NLP courses?). Sharon, Nathan</b></div></div><div class="cell text-cell">Semantics &amp; Philosophy of Language Lecture?<div><br></div><div>Saussure</div><div><br></div><div>humans impose interpretations on experiences; perspectives on a scene; model-theoretic semantics is not everything; prototypes?</div></div><div class="cell text-cell">(Sally and Rachel are friends.)<div>SALLY: Want to get coffee tomorrow at 3:00?</div><div>RACHEL: Let me see…I have to pick up the kids because Rick is doing it today. How about 2:00?</div><div><br></div><div>Text message conversation:</div><div>- coffee at 4:00?</div><div>- 3:00?</div><div><br></div><div><a href="http://www.sherwoodparknews.com/2016/01/14/no-injuries-in-park-fire">http://www.sherwoodparknews.com/2016/01/14/no-injuries-in-park-fire</a><br></div><div>"<span style="color: rgb(221, 221, 221);">Sherwood Park had its third fire in less than a month on Tuesday.&nbsp;</span><span style="color: rgb(221, 221, 221);">However, there were no injuries</span><font color="#cccccc">”</font></div><div><span style="color: rgb(221, 221, 221);">(Sherwood Park *neighborhood* [not a literal park]) (</span><font color="#cccccc">…to humans&nbsp;</font><span style="color: rgb(221, 221, 221);">caused by the Sherwood Park fire on Tuesday [unknown whether any ants were harmed]…although injuries might have been expected from an unintentional fire…and harm to humans is highly newsworthy, so it’s important for the story to inform us of an event that DIDN’T occur) (Were there injuries in previous fires? Unspecified.)</span><br></div></div><div class="cell text-cell">WordNet + WSD<div>Distributional semantics</div><div>Collocations</div><div><br></div></div></div>
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